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1
Folić, Radomir, and Doncho Partov. "Comparative analysis of some bridge management systems." Gradjevinski materijali i konstrukcije 63, no. 3 (2020): 21–35. http://dx.doi.org/10.5937/grmk2003021f.
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Safety and functionality of concrete road bridges are of a special importance for the traffic flow continuity in different circumstances including after earthquakes, floods, as well as after vessel or vehicle impact on piers. This is why almost all countries use Bridge Management Systems (BMS). They include the bridge inspection manuals, guidelines, report writing, bridge condition evaluation and determination of priorities (rating) for maintenance work or rehabilitation to achieve the design service life of bridges. This paper presents a comparative analysis of some documents of certain countries and associations, related to BMSs and their main components.
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Alamsyah, Danny Ferdian, M. Ikhsan Setiawan, and Sapto Budi Wasono. "Bridge Condition Analysis To Determine Handling Priorities With The Bridge Management System (BMS) Method." ADRI International Journal of Civil Engineering 6, no. 2 (2021): 56–62. http://dx.doi.org/10.29138/aijce.v6i2.43.
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To maintain the importance of the role of bridges in supporting the economy, it is necessary to have a bridge management system so that efforts are made to maintain the condition of the bridge so that it always functions properly. One of the bridge management systems developed by the Directorate General of Highways in 1993 is the Bridge Management System (BMS). The method used in assessing the damaged condition of this bridge is the Bridge Management System (BMS) and refers to the Bridge Inventory Inspection Guidelines (Pd. T-21-2005-B) issued by the Ministry of Public Works. The bridge that will be analyzed this time there is 4 types of bridge types, namely bridges with a plate top structure, concrete girders, steel girders, and box culvert with a length of each bridge that is 2-17 meters, a width of 5-10 meters, and a total span of 1 -2 pieces. Based on the priority scale from the author, the condition values of 4 bridges using the Bridge Management System (BMS) method are Sengon Bridge A = 2 (damages that require monitoring/maintenance in the future), Dayu Bridge = 2 (damages that require monitoring/maintenance in the future), Sekaru Bridge 9 = 1 (minor damage), and Duiker Sembung 2 = 0 (new bridge and no damage).
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Harywijaya, Wilhman, Mochammad Afifuddin, and Muhammad Isya. "PENILAIAN KONDISI JEMBATAN MENGGUNAKAN BRIDGE MANAGEMENT SYSTEM (BMS) DAN BRIDGE CONDITION RATING (BCR)." Jurnal Arsip Rekayasa Sipil dan Perencanaan 3, no. 1 (2020): 443–51. http://dx.doi.org/10.24815/jarsp.v3i1.16462.
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The bridge assesment and checking is an effort to gain well performance and vouch the decline condition of the bridge to ensure the bridges could be restored back under it stability basedits performance. Nowadays, the bridge inspections were carried out independently by the Perencanaan dan Pengawasan Jalan Nasional (P2JN) by using the Bridge Management control System (BMS). Referring to the latest bridge indicators, the bridge checks are carried out by tender system and consultants. The aim of this study is to check the bridge damage by isnpecting the condition value and damage code in the field by using BMS and Bridge Condition Rating (BCR) in order to obtain the accuracy in bridge maintenance. This research was conducted on 4 Bridges on the road Kr. Raya-BTS. Banda Aceh and Lambaro-BTS. Pidie, those are Kr. Angan bridge (STA. 013 + 400), Kr. Inong bridge (STA. 040 + 600), Kr. Geunapet A bridge (STA. 063 + 700), and Kr. Geunapet B bridge (STA. 063 + 700). Based on the BMS method, the writer found that Kr. Angan bridge was in 0 condition value, the condition value for Kr. Inong bridge was 2, the condition value for Kr. Geunapet A bridge was 0 and Kr. Geunapet B bridge was 0. Based on the results by using BCR method, it can be seen that the condition value for Kr. Angan bridge was 5.36, 5,52 for Kr. Inong bridge, 5,28 for the Kr. Geunapet A and 5,28 for Kr. Geunapet B. In the method of BMS the assessment of the condition of the bridge from good to bad starts from a small to large values namely from 0 to 5, while in the method of crack the assessment of conditions starting from bad to good is 7 to 1. Furthermore, referring to the BMS and BCR comparison, it could be concluded that both BMS and BCR needed the same proposed treatment in form of regular and periodic maintenance. For some components of the bridge handling is needed in the form of repairs such as repairing cracks in the concrete, as well as repairs to the expansion joint. While in the BCR method there was no assessment to handle floor drainage systems, backrests and safety building.
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Wan, Chunfeng, Zhenwei Zhou, Siyuan Li, et al. "Development of a Bridge Management System Based on the Building Information Modeling Technology." Sustainability 11, no. 17 (2019): 4583. http://dx.doi.org/10.3390/su11174583.
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With the development of the Chinese transportation industry, the number of bridges has increased significantly, but this results in high pressure of structural maintenance and management. Bridge management system (BMS) is critical for efficient maintenance and ensured safety of bridge structures during long-term operation. Building information modeling (BIM) is an emerging technology with powerful visualization and informatization capability, making it an ideal tool for developing modern management systems. This paper introduces the development of a bridge management system based on the BIM technology. Industry Foundation Classes (IFC) and International Framework for Dictionaries (IFD) standards are studied and extended, and coding rules are proposed for the Chinese bridge industry. Also, a standard structural modeling method is proposed to fast build the bridge BIM model. Web-BIM oriented bridge management is proposed, and portable devices are introduced into the system. Collaborative management is realized for different users. The BIM-based maintenance management system is designed. Finally, a practical BIM-based BMS is established for a long-span cable-stayed bridge in China. This system integrates the BIM with the geographic information system (GIS) and contains information management, inspection management, technical condition evaluation, and enables users to cooperate with each other. Such a BMS could help to improve the management efficiency and ensure its normal operation, providing a useful platform for the maintenance of massive bridges in China.
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Mašović, Snežana, Borislav Lazić, Rade Hajdin, and Nikola Tanasić. "New technical solution of the bridge database in the Republic of Serbia." Put i saobraćaj 66, no. 4 (2020): 19–34. http://dx.doi.org/10.31075/pis.66.04.03.
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For efficient bridge maintenance, bridge management systems (BMS) have been developed worldwide. In order to improve and further develop, PE Roads of Serbia has initiated a project entitled: Updating the methodology for reviewing and evaluating the condition of bridges and developing new applications for managing the database of bridges. The paper presents a new technical solution for the database on bridges, based on which a new application was established.
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Althaqafi, Essam, and Eddie Chou. "Developing Bridge Deterioration Models Using an Artificial Neural Network." Infrastructures 7, no. 8 (2022): 101. http://dx.doi.org/10.3390/infrastructures7080101.
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The condition of a bridge is critical in quality evaluations and justifying the significant costs incurred by maintaining and repairing bridge infrastructures. Using bridge management systems, the department of transportation in the United States is currently supervising the construction and renovations of thousands of bridges. The inability to obtain funding for the current infrastructures, such that they comply with the requirements identified as part of maintenance, repair, and rehabilitation (MR&R), makes such bridge management systems critical. Bridge management systems facilitate decision making about handling bridge deterioration using an efficient model that accurately predicts bridge condition ratings. The accuracy of this model can facilitate MR&R planning and is used to confirm funds allocated to repair and maintain the bridge network management system. In this study, an artificial neural network (ANN) model is developed to improve the bridge management system (BMS) by improving the prediction accuracy of the deterioration of bridge decks, superstructures, and substructures. A large dataset of historical bridge condition assessment data was used to train and test the proposed ANN models for the deck, superstructure, and substructure components, and the accuracy of these models was 90%, 90%, and 89% on the testing set, respectively.
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Saback, Vanessa, Cosmin Popescu, Thomas Blanksvärd, and Björn Täljsten. "Asset Management of Existing Concrete Bridges Using Digital Twins and BIM: a State-of-the-Art Literature Review." Nordic Concrete Research 66, no. 1 (2022): 91–111. http://dx.doi.org/10.2478/ncr-2021-0020.
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Abstract The need to optimize investments in bridge maintenance has created a demand for improved bridge management systems (BMS). Outdated practices in bridge inspection and constant advances in information technology have also contributed to this demand. The use of Digital Twins (DT), although well established in other industries, is still incipient for asset management and structural analysis of bridges. There is a great deal of research on Building Information Modelling (BIM) for bridge inspection, but its post-construction potential is still under-explored. This study presents a state-of-the-art review of the literature on asset management for bridges using digital models such as BIM and digital twins. The review was conducting using a systematic approach. Despite the rapid increase in research on DT and the amount of existing research on BIM, several gaps remain to be addressed, such as the lack of consensus about the definition of digital twins, which has led to wrongful categorisation of digital models as DT. The complex data flow and software compatibility required to develop a functional DT have hindered the exploitation of their full potential so far. The integration of BIM post-construction to BMS and existing automation technologies can also significantly improve current practices of bridge management.
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Byun, Namju, Whi Seok Han, Young Woong Kwon, and Young Jong Kang. "Development of BIM-Based Bridge Maintenance System Considering Maintenance Data Schema and Information System." Sustainability 13, no. 9 (2021): 4858. http://dx.doi.org/10.3390/su13094858.
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Due to the significant increase in the age of infrastructure globally, maintenance of existing structures has been prioritized over the construction of new structures, which are very costly. However, many infrastructure facilities have not been managed efficiently due to a lack of well-trained staff and budget limitations. Bridge management systems (BMSs) have been constructed and operated globally to maintain the originally designed structural performance and to overcome the inefficiency of maintenance practices for existing bridges. Unfortunately, because most of the current BMSs are based on 2D information systems, bridge maintenance data and information are not utilized effectively for bridge management. To overcome these problems, studies of BMSs based on building information modeling (BIM) have significantly increased in number. Most previous studies have proposed comprehensive frameworks containing approximate and limited information for maintenance to utilize BIM technology. Moreover, the utilization level of the maintenance information is less efficient because detailed information regarding safety diagnosis and maintenance are not included in data formats that are interpretable by computer algorithms. Therefore, in this study, a BIM-based BMS, including detailed information relating to safety diagnosis and maintenance, was constructed for the sustainability of bridge maintenance. To consider detailed information in the BMS, a maintenance data schema and its information system were established via the compilation of detailed information for safety diagnosis, repair and strengthening, remaining life, and valuation. In addition, a web data management program (WDMP) was developed using the maintenance data schema and information system, and was connected with the Midas CIM, which is a 3D modeling program. Finally, a prototype of the proposed BMS was established for an actual bridge in Korea. The proposed BMS in this study may be expected to improve the existing management practices for maintenance, and to reduce maintenance cost and information loss.
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Sastrawiria, Risma Putra Pratama, Nasu Seigo, and Tetsuro Kudo. "Implementation of High-Precision Life Cycle Cost Analysis (HP-LCCA) on Indonesian Bridge Management System." Buildings 14, no. 10 (2024): 3208. http://dx.doi.org/10.3390/buildings14103208.
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Life Cycle Cost Analysis (LCCA) is a method used to determine the preservation costs required for an object, in this case, a bridge, throughout its service life. This method has been implemented in several advanced countries, including Japan. The LCCA calculation concept in Japan differs from those in other countries, as it involves a detailed segmentation of structural elements of bridges, making the model unique and highly detailed. This model is known as High-Precision Life Cycle Cost Analysis (HP-LCCA) and will be tested for application in Bridge Management Systems (BMS) in Indonesia. Implementing this model requires several adjustments, including aligning perceptions of visual inspection results and adapting the assessment concepts for each element based on research interpretations. Additionally, the difference between non-physical and physical condition assessment models presents a challenge for adopting this calculation model. The research shows a similar pattern and positive correlation between non-physical and physical assessment models. Furthermore, factors influencing LCC calculations include bridge age and the number of segments in structural elements. This research aims to provide optimal LCC calculations and facilitate their application in BMS in Indonesia.
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Wi, Hui Ju, Jae Ho Lee, Michael Blumenstein, Hong Guan, and Yew Chaye Loo. "Development of Methodology for Enhancing Visual Bridge Condition Assessment Using Image Processing Techniques." Applied Mechanics and Materials 256-259 (December 2012): 1563–70. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.1563.
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Many bridge authorities have implemented Bridge Information Systems (BISs) or Bridge Management Systems (BMSs) to effectively manage their routine inspection information. The success of a BMS is highly dependent on the quality of bridge inspection outcomes and accurate estimation of future bridge condition ratings. To ensure such successful outcomes, a BMS must (1) contain reliable, consistent and accurate condition data from routine bridge inspections; and (2) encompass reliable deterioration modelling that overcomes the shortcomings of a lack of historical bridge inspection records. However published literature demonstrates that several limitations exist particularly in terms of inconsistency of inspection outcomes due to subjective judgment. To minimise such limitations, this paper presents a feasibility study for the enhancement of the current visual bridge inspection method using optical image processing techniques. The development work consists of image processing and knowledge-based approaches. It is anticipated that the proposed method is capable of minimising the shortcomings of subjective judgment on condition rating assessment and providing cost effective solutions to bridge agencies. Ultimately, the proposed bridge inspection methodology can provide consistent and accurate evaluation on the condition states of bridge elements. This in turn will lead to more reliable predictions of long-term bridge performance.
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Gokasar, Ilgin, and Isik Okur. "A Multi-Criteria Utility Approach to Bridge Maintenance Prioritization." Knowledge and Decision Systems with Applications 1 (February 11, 2025): 35–56. https://doi.org/10.59543/kadsa.v1i.13625.
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Maintaining bridges optimally presents a challenge for the decision-makers because of the complexity of the objectives. Bridges should have a maintenance planning system for a better organization and controlling mechanism. These systems allow the decision-making process to be performed simpler and the limited public fund to be spent better. In this study, the multi-attribute utility theory (MAUT) is applied as a practical multi-objective decision-making method to prioritize 20 bridge networks in Western Turkey. The objective of this study is to use MAUT to a bridge maintenance problem in Turkey and providing improvements to the existing Turkish bridge management system (BMS) decision-making method in the literature. The criteria list given in the Turkish BMS is reexamined, and one more criterion is added. The current prioritization method is replaced with the MAUT approach to explain the uncertainty situation by taking the risk preferences of the decision-makers. Additionally, the additive utility independence assumption of MAUT is inquired to avoid a suboptimal solution for bridge maintenance planning. The results show that how calculating risk preferences, interrogating more decision-makers with different expertise, and adding a new objective criterion might change the priority order for the same dataset.
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Bono, Antonio, Luigi D’Alfonso, Giuseppe Fedele, Anselmo Filice, and Enrico Natalizio. "Path Planning and Control of a UAV Fleet in Bridge Management Systems." Remote Sensing 14, no. 8 (2022): 1858. http://dx.doi.org/10.3390/rs14081858.
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Traditional methodologies for precise inspection of bridges (pavement, beams, column cap, column, joints and inside box girder, etc.) with By-bridge equipment, Aerial Work Platform (AWP) or via ropes have several limits that can be overcome by using Unmanned Aerial Vehicles (UAVs). The constant development in this field allows us to go beyond the manual control and the use of a single UAV. In the context of inspection rules, this research provides new inputs to the multilevel approach used today and to the methods of structural inspection with drones. Today, UAV-based inspections are limited by manual and/or semi-automatic control with many restrictions on trajectory settings, especially for areas of difficult access with Global Navigation Satellite Systems (GNSS) denied that still require the intervention of a human operator. This work proposes the use of autonomous navigation with a fleet of UAVs for infrastructural inspections. Starting from a digital twin, a solution is provided to problems such as the definition of a set of reference trajectories and the design of a position controller. A workflow to integrate a generic Bridge Management System (BMS) with this type of approach is provided.
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Gao, Yan, Guanyu Xiong, Ziyu Hu, Chengzhang Chai, and Haijiang Li. "Bridge Digital Twin for Practical Bridge Operation and Maintenance by Integrating GIS and BIM." Buildings 14, no. 12 (2024): 3731. http://dx.doi.org/10.3390/buildings14123731.
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As an emerging technology, digital twin (DT) is increasingly valued in bridge management for its potential to optimize asset operation and maintenance (O&M). However, traditional bridge management systems (BMS) and existing DT applications typically rely on standalone building information modeling (BIM) or geographic information system (GIS) platforms, with limited integration between BIM and GIS or consideration for their underlying graph structures. This study addresses these limitations by developing an integrated DT system that combines WebGIS, WebBIM, and graph algorithms within a three-layer architecture. The system design includes a common data environment (CDE) to address cross-platform compatibility, enabling real-time monitoring, drone-enabled inspection, maintenance planning, traffic diversion, and logistics optimization. Additionally, it features an adaptive data structure incorporating JSON-based bridge defect information modeling and triple-based roadmap graphs to streamline data management and decision-making. This comprehensive approach demonstrates the potential of DTs to enhance bridge O&M efficiency, safety, and decision-making. Future research will focus on further improving cross-platform interoperability to expand DT applications in infrastructure management.
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Achuthan, Kamal, Nick Hay, Mostafa Aliyari, and Yonas Zewdu Ayele. "A Digital Information Model Framework for UAS-Enabled Bridge Inspection." Energies 14, no. 19 (2021): 6017. http://dx.doi.org/10.3390/en14196017.
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Unmanned aerial systems (UAS) provide two main functions with regards to bridge inspections: (1) high-quality digital imaging to detect element defects; (2) spatial point cloud data for the reconstruction of 3D asset models. With UAS being a relatively new inspection method, there is little in the way of existing framework for storing, processing and managing the resulting inspection data. This study has proposed a novel methodology for a digital information model covering data acquisition through to a 3D GIS visualisation environment, also capable of integrating within a bridge management system (BMS). Previous efforts focusing on visualisation functionality have focused on BIM and GIS as separate entities, which has a number of problems associated with it. This methodology has a core focus on the integration of BIM and GIS, providing an effective and efficient information model, which provides vital visual context to inspectors and users of the BMS. Three-dimensional GIS visualisation allows the user to navigate through a fully interactive environment, where element level inspection information can be obtained through point-and-click operations on the 3D structural model. Two visualisation environments were created: a web-based GIS application and a desktop solution. Both environments develop a fully interactive, user-friendly model which have fulfilled the aims of coordinating and streamlining the BMS process.
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Hosamo, Haidar Hosamo, and Mohsen Hosamo Hosamo. "Digital Twin Technology for Bridge Maintenance using 3D Laser Scanning: A Review." Advances in Civil Engineering 2022 (July 14, 2022): 1–15. http://dx.doi.org/10.1155/2022/2194949.
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There has been a significant surge in the interest in adopting cutting-edge new technologies in the civil engineering industry in recent times that monitor the Internet of Things (IoT) data and control automation systems. By combining the real and digital worlds, digital technologies, such as Digital Twin, provide a high-level depiction of bridges and their assets. The inspection, evaluation, and management of infrastructure have experienced profound changes in technological advancement over the last decade. Technologies like laser scanners have emerged as a viable replacement for labor-intensive, costly, and dangerous traditional methods that risk health and safety. The new maintenance techniques have increased their use in the construction section, particularly regarding bridges. This review paper aims to present a comprehensive and state-of-the-art review upon using laser scanners in bridge maintenance and engineering and looking deeper into the study field in focus and researchers’ suggestions in this field. Moreover, the review was conducted to gather, evaluate, and analyze the papers collected in the years from 2017 to 2022. The interaction of research networks, dominant subfields, the co-occurrence of keywords, and countries were all examined. Four main categories were presented, namely machine learning, bridge management system (BMS), bridge information modeling (BrIM), and 3D modeling. The findings demonstrate that information standardization is the first significant obstacle to be addressed before the construction sector can benefit from the usage of Digital Twin. As a result, this article proposes a conceptual framework for building management using Digital Twins as a starting point for future research.
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Stochino, Flavio, Fausto Mistretta, Mauro Sassu, Marco Zucca, and Mario Lucio Puppio. "A proposal for low cost condition assessment method for existing RC bridges." ce/papers 6, no. 5 (2023): 1270–76. http://dx.doi.org/10.1002/cepa.2129.
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AbstractAging infrastructures require huge budgets to preserve their functionality and the lack of effective maintenance leads to increasing deterioration and therefore higher repair costs. For these reasons, assessing the condition of infrastructures becomes mandatory, with particular attention to the ones still in service even when their life limit has been exceeded. In particular, this problem is really important in Countries, like Italy, in which there are several operating bridges at the end of their service life. In this framework, many companies responsible for the management of road networks have turned their interest towards Bridge Management Systems (BMS). This paper presents a fast and low‐cost method for condition rating of reinforced concrete bridges. The proposal is based on visual inspection and non‐destructive testing. A specific parameter is designed to take into account the mechanical degradation of materials and the damage location at the structural sub‐component level. Some benchmark case studies have been discussed in order to compare the proposed method with other approaches available in literature.
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Lee, Jaeho, Kamalarasa Sanmugarasa, Michael Blumenstein, and Yew-Chaye Loo. "Improving the reliability of a Bridge Management System (BMS) using an ANN-based Backward Prediction Model (BPM)." Automation in Construction 17, no. 6 (2008): 758–72. http://dx.doi.org/10.1016/j.autcon.2008.02.008.
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Al-Rashed, Rawan, Akmal Abdelfatah, and Sherif Yehia. "Identifying the Factors Impacting Bridge Deterioration in the Gulf Cooperation Council." Designs 7, no. 6 (2023): 126. http://dx.doi.org/10.3390/designs7060126.
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The deterioration module (DM) is one of the four major modules necessary for any bridge management system (BMS). Environmental conditions, structural systems, bridge configuration, geographic location, and traffic data are some of the major factors that affect the development of deterioration modules. This emphasizes the need for the development of deterioration models that reflect the local conditions. In this article, some of the most important factors that could help in developing deterioration models in the Gulf Cooperation Council (GCC) were identified. The research was conducted in three phases; in the first phase, an extensive literature search was conducted to identify factors adopted in different deterioration models, and in phase two, the most relevant factors to the GCC environment were selected and these factors were further reduced based on input from local bridge experts. The result from the second phase is a list of factors identified by the experts. The identified list was utilized in phase three, which was focused on conducting a survey targeting bridge engineers to help identify the final selection and rank the factors according to their importance level. The results indicate that steel reinforcement protection, design load, chloride attack, type of defect, and age are the most important factors impacting bridge deterioration in the GCC. In addition, the time of rehabilitation; average daily truck traffic, ADTT; and average daily traffic, ADT, are the second most important factors. Factors with medium importance level are deck protection, services under the bridge, and inspection gap. The least important set of factors include temperature and wind load.
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Adepoju, Sheriff, and Segun David. "An Intelligent API Framework for Real-time Occupancy-Based HVAC Integration in Smart Building Management Systems." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 4, no. 1 (2025): 61–70. https://doi.org/10.60087/jklst.v4.n1.007.
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There has been a consistent drive to reduce the energy consumption of buildings using machine learning and other intelligent technologies. This research proposes a unified API framework that bridges the gap between disparate smart building technologies and HVAC control systems. While current building man gement systems (BMS) offer basic integration capabilities, they lack standardized interfaces for real-time occupancy data integration and intelligent control optimization. Our framework introduces a three-layer architecture: a data integration layer that harmonizes inputs from various occupancy sensors and building systems, a processing layer that implements machine learning algorithms for occupancy prediction and pattern recognition, and a control layer that provides standardized interfaces for HVAC system optimization. The framework addresses key challenges, including protocol standardization, real-time data processing, and system interoperability. Initial implementation in a test environment comprising 50 office spaces demonstrated 27% energy savings compared to traditional BMS systems while maintaining occupant comfort levels. This research fills a critical gap in smart building infrastructure by providing a scalable, vendor-agnostic solution for intelligent building control integration. The proposed framework enables seamless integration of emerging IoT technologies and facilitates the development of more sophisticated building control strategies.
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K Saravanan. "Improved Adaptive Network-Based Fuzzy Inference System Approach for Power Flow Analysis in Interconnected DC Microgrid." Journal of Electrical Systems 20, no. 6s (2024): 1281–95. http://dx.doi.org/10.52783/jes.2856.
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High-performance power conversion needs are becoming more and more important for microgrid applications. In actuality, many contemporary DC distribution systems use isolated bidirectional dc-dc converters. Hence, in this paper, an Improved Adaptive Network-based Fuzzy Inference System (IANFIS)is developed to control the output power of the components and reduce the variation among the consumption and generation of the power while managing a constant DC bus voltage. This work proposes a power management control strategy that ensures the power balance of a stand-alone DC microgrid where DAB converters link the battery energy storage (BES) unit and the renewable energy source (RES). The generation side, or photovoltaic (PV) system and BES, is coupled to the storage systems and renewable energy sources. Furthermore, a DC microgrid is connected to the load demand. The load demand is compensated with the help of the storage and generation systems with the help of a dual active bridge converter. The DAB is connected with the dual DC microgrid system for managing power flow among the two DC microgrids. This dual active bridge converter is utilized to balance the power among Dual DC microgrids. The proposed methodology is developed to manage the power among generation and load demand management. The proposed method is evaluated on a dual active bridge converter connected microgrid system with the components of PV and BESS respectively.
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Roy, Probir Kumar, Mohammad Shahjalal, Tamanna Shams, et al. "A Critical Review on Battery Aging and State Estimation Technologies of Lithium-Ion Batteries: Prospects and Issues." Electronics 12, no. 19 (2023): 4105. http://dx.doi.org/10.3390/electronics12194105.
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Electric vehicles (EVs) have had a meteoric rise in acceptance in recent decades due to mounting worries about greenhouse gas emissions, global warming, and the depletion of fossil resource supplies because of their superior efficiency and performance. EVs have now gained widespread acceptance in the automobile industry as the most viable alternative for decreasing CO2 production. The battery is an integral ingredient of electric vehicles, and the battery management system (BMS) acts as a bridge between them. The goal of this work is to give a brief review of certain key BMS technologies, including state estimation, aging characterization methodologies, and the aging process. The consequences of battery aging limit its capacity and arise whether the battery is used or not, which is a significant downside in real-world operation. That is why this paper presents a wide range of recent research on Li-ion battery aging processes, including estimations from multiple areas. Afterward, various battery state indicators are thoroughly explained. This work will assist in defining new relevant domains and constructing commercial models and play a critical role in future research in this expanding area by providing a clear picture of the present status of estimating techniques of the major state indicators of Li-ion batteries.
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Bénet, Nathalie, Aude Deville, and Gerald Naro. "BSC inside a strategic management control package." Journal of Applied Accounting Research 20, no. 1 (2019): 120–32. http://dx.doi.org/10.1108/jaar-11-2016-0109.
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PurposeKaplan and Norton proposed the strategy map as a way to overcome the weaknesses of the balanced scorecard (BSC), but this approach may not be enough. The purpose of this paper is to present a strategic management control package composed of three systems from strategic management and management control. This conceptual approach operationalizes strategic alignment, which is the core interest of the BSC.Design/methodology/approachThe rationale for this research is derived from the literatures on business models (BMs), the BSC and management control packages. The authors first identified gaps in the BSC literature, which has underlined the BSC’s insufficient connection to strategy, and the strategic literature, which has criticized the BM as being too conceptual. The authors propose to fill these gaps through contributions from the management control package literature.FindingsThe findings are in line with the current literature on the interdependencies of management control systems. In response to the criticism of the BSC because of its weak strategic foundations, the authors provide a framework comprising three management systems: the BM, the strategy map and the BSC. This framework ultimately promotes two feedback loops that provide a dynamic view of the reciprocal influences of the BSC and strategy.Research limitations/implicationsSeveral authors note that the BSC suffers from a lack of conceptualization. The underlying assumptions and the conceptual and empirical validity of the cause-and-effect relationships are particularly questioned. Therefore, the purpose of this paper is to overcome the criticism linked to the “low” strategic alignment of the strategy map, and then of the BSC, by proposing a conceptual framework based on a package including three management systems: the BSC, the strategy map and the BM. A major limit lies in the purely conceptual dimension of this research, and it will be interesting to empirically investigate the conceptual package through longitudinal case studies.Practical implicationsThe authors propose guidelines to develop a strategically aligned BSC through a three-step operationalization process to achieve a non-linear strategic management control. Moreover, the authors suggest empirical research avenues to address the weaknesses of Kaplan and Norton’s BSC and to enhance its connection to strategy through an integrated strategic management control package that includes a BM.Originality/valueThis paper adds value by proposing a package of management systems that includes both strategic management and management control perspectives. The authors, therefore, offer a way to bridge the gap between these research streams and highlight the interest of recent developments in the literature regarding the management control package.
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Soyoye, Babatunde D., Indranil Bhattacharya, Mary Vinolisha Anthony Dhason, and Trapa Banik. "State of Charge and State of Health Estimation in Electric Vehicles: Challenges, Approaches and Future Directions." Batteries 11, no. 1 (2025): 32. https://doi.org/10.3390/batteries11010032.
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This critical review paper delves into the complex and evolving landscape of the state of health (SOH) and state of charge (SOC) in electric vehicles (EVs), highlighting the pressing need for accurate battery management to enhance safety, efficiency, and longevity. With the global shift towards EVs, understanding and improving battery performance has become crucial. The paper systematically explores various SOC estimation techniques, emphasizing their importance akin to that of a fuel gauge in traditional vehicles, and addresses the challenges in accurately determining SOC given the intricate electrochemical nature of batteries. It also discusses the imperative of SOH estimation, a less defined but critical parameter reflecting battery health and longevity. The review presents a comprehensive taxonomy of current SOC estimation methods in EVs, detailing the operation of each type and succinctly discussing the advantages and disadvantages of these methods. Furthermore, it scrutinizes the difficulties in applying different SOC techniques to battery packs, offering insights into the challenges posed by battery aging, temperature variations, and charge–discharge cycles. By examining an array of approaches—from traditional methods such as look-up tables and direct measurements to advanced model-based and data-driven techniques—the paper provides a holistic view of the current state and potential future of battery management systems (BMS) in EVs. It concludes with recommendations and future directions, aiming to bridge the gap for researchers, scientists, and automotive manufacturers in selecting optimal battery management and energy management strategies.
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Zhao, Lidu, Yihui Yang, Zhongfu Xiang, et al. "A Novel Low-Cost GNSS Solution for the Real-Time Deformation Monitoring of Cable Saddle Pushing: A Case Study of Guojiatuo Suspension Bridge." Remote Sensing 14, no. 20 (2022): 5174. http://dx.doi.org/10.3390/rs14205174.
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Extreme loadings, a hostile environment and dangerous operation lead to the unsafe state of bridges under construction, especially large-span bridges. Global Navigation Satellite Systems (GNSS) tend to be the best choice for real-time deformation monitoring due to the significant advantage of automation, continuation, all-weather operation and high precision. Unfortunately, the traditional geodetic GNSS instrument with its high price and large volume is limited in its applications. Hence, we design and develop low-cost GNSS equipment by simplifying the monitoring module. The performance of the proposed solution is evaluated through an experimental dynamic scenario, proving its ability to track abrupt deformation down to 3–5 mm. We take Chongqing Guojiatuo Suspension Bridge in China as a case study. We build a real-time low-cost GNSS monitoring cloud platform. The low-cost bridge GNSS monitoring stations are located at the top of the south and north towers, midspan upstream and downstream respectively and the reference station is located in the stable zone 400 m away from the bridge management buildings. We conducted a detailed experimental assessment of low-cost GNSS on 5 April and a real-time deformation detection experiment of the towers and main cables during the dynamic cable saddle pushing process on 26 February 2022. In the static experiment, the standard deviation of the residual using the multi-GNSS solution is 2 mm in the horizontal direction and 5 mm in the vertical direction. The multi-GNSS solution significantly outperforms the BDS/GPS single system. The dynamic experiment shows that, compared with the movement measured by the robotic total station, the horizontal error of the south tower and north tower measured by low-cost GNSS is below 0.005 m and 0.008 m respectively. This study highlights the potential of low-cost GNSS solutions for Structural Health Monitoring (SHM) applications.
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Ríos, Sara J., Daniel J. Pagano, and Kevin E. Lucas. "Bidirectional Power Sharing for DC Microgrid Enabled by Dual Active Bridge DC-DC Converter." Energies 14, no. 2 (2021): 404. http://dx.doi.org/10.3390/en14020404.
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Currently, high-performance power conversion requirements are of increasing interest in microgrid applications. In fact, isolated bidirectional dc-dc converters are widely used in modern dc distribution systems. The dual active bridge (DAB) dc-dc converter is identified as one of the most promising converter topology for the mentioned applications, due to its benefits of high power density, electrical isolation, bidirectional power flow, zero-voltage switching, and symmetrical structure. This study presents a power management control scheme in order to ensure the power balance of a dc microgrid in stand-alone operation, where the renewable energy source (RES) and the battery energy storage (BES) unit are interfaced by DAB converters. The power management algorithm, as introduced in this work, selects the proper operation of the RES system and BES system, based on load/generation power and state-of-charge of the battery conditions. Moreover, a nonlinear robust control strategy is proposed when the DAB converters are in voltage-mode-control in order to enhance the dynamic performance and robustness of the common dc-bus voltage, in addition to overcoming the instability problems that are caused by constant power loads and the dynamic interactions of power electronic converters. The simulation platform is developed in MATLAB/Simulink, where a photovoltaic system and battery system are selected as the typical RES and BES, respectively. Assessments on the performance of the proposed control scheme are conducted. Comparisons with the other control method are also provided.
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Preeti, S. Bellerimath, Shirakol Shrikanth, Vadiraj Gunari Laxmi, Rachana N, P. Mahat Sahil, and Arali Chirag. "Design and Implementation of AHB to APB Bridge using Verilog." International Journal of Engineering and Management Research 15, no. 2 (2025): 199–203. https://doi.org/10.5281/zenodo.15478857.
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Efficient on-chip communication is vital in modern embedded and System-on-Chip (SoC) architectures. This project presents the design and implementation of an AHB (Advanced High-performance Bus) to APB (Advanced Peripheral Bus) bridge using Verilog Hardware Description Language (HDL). The bridge serves as an interface between high-speed AHB masters and low-speed APB peripherals, with a Finite State Machine (FSM) governing the control flow—including address decoding, data transfer, and handshake signal management. The Verilog-based design emphasizes modularity, timing accuracy, and hardware compatibility, making it well-suited for both FPGA prototyping and ASIC integration. Functional simulation and synthesis validate the bridge’s correctness, performance, and efficient resource utilization. The FSM-based control ensures predictable and reliable communication across the AHB and APB domains, fulfilling the structured connectivity demands of AMBA-based SoC designs [1].
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Ghamari, Seyyed Morteza, Daryoush Habibi, and Asma Aziz. "Robust Adaptive Fractional-Order PID Controller Design for High-Power DC-DC Dual Active Bridge Converter Enhanced Using Multi-Agent Deep Deterministic Policy Gradient Algorithm for Electric Vehicles." Energies 18, no. 12 (2025): 3046. https://doi.org/10.3390/en18123046.
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The Dual Active Bridge converter (DABC), known for its bidirectional power transfer capability and high efficiency, plays a crucial role in various applications, particularly in electric vehicles (EVs), where it facilitates energy storage, battery charging, and grid integration. The Dual Active Bridge Converter (DABC), when paired with a high-performance CLLC filter, is well-regarded for its ability to transfer power bidirectionally with high efficiency, making it valuable across a range of energy applications. While these features make the DABC highly efficient, they also complicate controller design due to nonlinear behavior, fast switching, and sensitivity to component variations. We have used a Fractional-order PID (FOPID) controller to benefit from the simple structure of classical PID controllers with lower complexity and improved flexibility because of additional filtering gains adopted in this method. However, for a FOPID controller to operate effectively under real-time conditions, its parameters must adapt continuously to changes in the system. To achieve this adaptability, a Multi-Agent Reinforcement Learning (MARL) approach is adopted, where each gain of the controller is tuned individually using the Deep Deterministic Policy Gradient (DDPG) algorithm. This structure enhances the controller’s ability to respond to external disturbances with greater robustness and adaptability. Meanwhile, finding the best initial gains in the RL structure can decrease the overall efficiency and tracking performance of the controller. To overcome this issue, Grey Wolf Optimization (GWO) algorithm is proposed to identify the most suitable initial gains for each agent, providing faster adaptation and consistent performance during the training process. The complete approach is tested using a Hardware-in-the-Loop (HIL) platform, where results confirm accurate voltage control and resilient dynamic behavior under practical conditions. In addition, the controller’s performance was validated under a battery management scenario where the DAB converter interacts with a nonlinear lithium-ion battery. The controller successfully regulated the State of Charge (SOC) through automated charging and discharging transitions, demonstrating its real-time adaptability for BMS-integrated EV systems. Consequently, the proposed MARL-FOPID controller reported better disturbance-rejection performance in different working cases compared to other conventional methods.
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Liang, Xin-Zhong, Drew Gower, Jennifer A. Kennedy, et al. "DAWN: Dashboard for Agricultural Water Use and Nutrient Management—A Predictive Decision Support System to Improve Crop Production in a Changing Climate." Bulletin of the American Meteorological Society 105, no. 2 (2024): E432—E441. http://dx.doi.org/10.1175/bams-d-22-0221.1.
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Abstract Climate change presents huge challenges to the already-complex decisions faced by U.S. agricultural producers, as seasonal weather patterns increasingly deviate from historical tendencies. Under USDA funding, a transdisciplinary team of researchers, extension experts, educators, and stakeholders is developing a climate decision support Dashboard for Agricultural Water use and Nutrient management (DAWN) to provide Corn Belt farmers with better predictive information. DAWN’s goal is to provide credible, usable information to support decisions by creating infrastructure to make subseasonal-to-seasonal forecasts accessible. DAWN uses an integrated approach to 1) engage stakeholders to coproduce a decision support and information delivery system; 2) build a coupled modeling system to represent and transfer holistic systems knowledge into effective tools; 3) produce reliable forecasts to help stakeholders optimize crop productivity and environmental quality; and 4) integrate research and extension into experiential, transdisciplinary education. This article presents DAWN’s framework for integrating climate–agriculture research, extension, and education to bridge science and service. We also present key challenges to the creation and delivery of decision support, specifically in infrastructure development, coproduction and trust building with stakeholders, product design, effective communication, and moving tools toward use.
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Miyamoto, Ayaho, Moriyoshi Kushida, Yukio Adachi, and Masato Matsumoto. "Development of Bridge Management System(BMS)." Doboku Gakkai Ronbunshu, no. 560 (1997): 91–106. http://dx.doi.org/10.2208/jscej.1997.560_91.
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Garnida, Hendra, Muhammad Syukri, and Rosadi Rosadi. "Nilai Kondisi Jembatan Di Jalan Nasional Dengan Metode Bridge Management System (Bms) Pada Jembatan Wilayah Sumatra Utara." Jurnal Teknik Industri Terintegrasi 6, no. 1 (2023): 116–23. http://dx.doi.org/10.31004/jutin.v6i1.14540.
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With the analysis of the value of condition the bridge, it aims to ensure that the bridges are on the road network are safe for road users.The method used for analyzing bridge condition values ??is the Bridge Management System (BMS) method which has become a general reference for bridge inspections in Indonesia. The Bridge Management System (BMS) method makes it easier to assess bridge conditions to identify damaged elements and structures. So that proper handling of bridge maintenance or repair is obtained. This was done as an effort to maintain optimal bridge performance
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Budiarso, Ryandi Nurwijaya Dwi Saputra, Ninik Catur Endah Yuliati, and Hery Susanto. "Studi Inventarisasi Jembatan Menggunakan Metode Bridge Management System dan Bridge Condition Rating." Composite: Journal of Civil Engineering 2, no. 2 (2023): 87–93. http://dx.doi.org/10.26905/jtsc.v2i2.11040.
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AbstrakSalah satu upaya untuk meningkatkan perekonomian dilakukan melalui percepatan pembangunan infrastruktur khususnya jembatan. Tidak hanya terfokus pada jembatan baru tetapi juga terhadap jembatan yang telah terbangun. Inventarisasi dilakukan pada jembatan yang sudah terbangun untuk mengantisipasi kerusakan. Penelitian dilakukan pada jembatan di wilayah Kota Malang dengan tujuan mengetahui kondisi jembatan dan merekomendasikan penanganan yang tepat. Metode yang digunakan adalah metode Bridge Management System (BMS) dan Bridge Condition Rating (BCR). Hasil inventarisasi dengan metode BMS menunjukkan bahwa 21% jembatan memiliki nilai 3 (jembatan membutuhkan rehabilitasi) dan 79% jembatan memiliki nilai 0-2 (memerlukan pemeliharaan rutin). Pada metode BCR, 79% jembatan bernilai 5-6 (memerlukan pemeliharaan rutin) dan 21% jembatan bernilai 3,001-4,999 (memerlukan rehabilitasi). Secara keseluruhan menunjukkan kondisi jembatan di wilayah Kota Malang memerlukan pemeliharaan rutin dan rehabilitasi.
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Salinah, D., M. M. Fashius, and G. Habibah. "The Study of the Implementation of Bridge Management System in Sabah." Applied Mechanics and Materials 802 (October 2015): 688–93. http://dx.doi.org/10.4028/www.scientific.net/amm.802.688.
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Bridge Management System (BMS) is an important tool which can help to manage huge number of bridges while efficiently utilizes limited fund for maintenance. Although major bridge failure is uncommon in Sabah, the concern for future adversity must be considered. The current status of the implantation of BMS in Sabah were studied and subsequently identifying the difficulties to implement the system locally. Interviews were done in Jabatan Kerja Raya, Headquarter and districts. Five locations were selected for observation. It was discovered that the implementation status of JKR BMS is still far from a successful implementation.
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Miyamoto, Ayaho, Kei Kawamura, and Hideaki Nakamura. "Practical Applications of a Bridge Management System in Japan." Transportation Research Record: Journal of the Transportation Research Board 1696, no. 1 (2000): 14–25. http://dx.doi.org/10.3141/1696-38.
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Recently, the necessity of developing a practical bridge management system (BMS) has been pointed out in Japan, because the maintenance of existing bridges has become a major social concern. The aim of this study was to develop a practical BMS for deteriorated concrete bridges. The proposed system (J-BMS) uses multilayered neural networks to predict deterioration processes in existing bridges, to construct an optimal maintenance plan for repair or strengthening measures based on minimizing life-cycle cost, and to estimate the maintenance cost. A comparison of the results of applying this system to some actual in-service bridges with the results of questionnaire surveys of experts indicates that optimal maintenance planning as well as bridge rating can be predicted accurately by this system.
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Pratiwi, Ade Yuniati, Nursiah Chairunnisa, Irfan Prasetia, Iphan Fitrian Radam, and Ratni Nurwidayati. "Bridge Management System dan Bridge Condition Rating pada Evaluasi Kondisi Jembatan Girder Baja Komposit di Kabupaten Tapin." Buletin Profesi Insinyur 6, no. 1 (2023): 26–31. http://dx.doi.org/10.20527/bpi.v6i1.180.
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Kerusakan pada jembatan biasanya terjadi akibat penurunan mutu material hingga adanya beban benturan pada struktur jembatan. Sehingga perlu dilakukan evaluasi kondisi jembatan tahap awal yaitu penilaian kondisi jembatan. Dilakukan evaluasi nilai kondisi Jembatan Girder Baja Komposit yang terletak di Kabupaten Tapin untuk mengetahui penanganan yang tepat baik untuk proses pemeliharaan, rehabilitasi, atau penggantian elemen jembatan yang rusak. Dua metode penilaian kondisi jembatan yang digunakan untuk evaluasi yaitu metode Bridge Management System (BMS) dan Bridge Condition Rating (BCR). Dari hasil penilaian kondisi, akan dihitung prediksi umur jembatan akibat kerusakan elemen. Berdasarkan hasil penilaian kondisi, diketahui bahwa jembatan memiliki nilai kondisi 2,42 untuk metode BMS dengan usulan perbaikan segera dan nilai kondisi 4,308 untuk metode BCR dengan usulan penanganan rehabilitasi dan tingkat kondisi sedang. Umur jembatan setelah dilakukan penilaian kondisi adalah 35,8 tahun berdasarkan BMS dan 33,9 tahun berdasarkan BCR. Sisa umur jembatan jika umur rencana jembatan 50 tahun adalah 16,1 tahun berdasarkan nilai kondisi BCR. Dari umur jembatan dan nilai kondisi jembatan juga diketahui bahwa jembatan memasuki fase perkembangan kerusakan dan memerlukan penanganan rehabilitasi.Kata kunci: nilai kondisi, umur, kerusakan, jembatan, BMS, BCR
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Hajdin, Rade. "Bridge Management Systems." Structural Engineering International 8, no. 3 (1998): 211. http://dx.doi.org/10.2749/101686698780489153.
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Setiawan, Adi, and Sumargo Sumargo. "Penilaian Kondisi Visual Dan Prediksi Usia Sisa Jembatan Siliti Dengan Metode Bridge Management System." Media Ilmiah Teknik Sipil 9, no. 1 (2020): 1–8. http://dx.doi.org/10.33084/mits.v9i1.1556.
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One of the efforts in bridge maintenance is by conducting a preliminary assessment with a visual assessment. Growth in the number of vehicles each time will result in a risk of decreasing the capacity of the bridge and its age. Post-construction and maintenance is also a major requirement in infrastructure. This is often ruled out causing the bridge's function and performance to decline and ultimately cause damage. Siliti Bridge is a concrete bridge located in North Bungku Morowali, Sulawesi Tengah. This bridge gets special attention due to quite severe conditions. The purpose of the inspection on the Siliti Bridge is to get its condition visually and determine the estimated age of the remaining bridge which will be capital for further inspection. Bridge Management System (BMS) is a system of assesment to know the existing condition of each element of the bridge. The condition value of the bridge is needed to calculate its remaining life. Based on evaluations conducted in 2017, the value of the Siliti Bridge using the BMS standard is 3 (Damaged). The remaining age of the Siliti Bridge is 8 years.
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Madhura Meena and Raja Reddy. "Smart energy storage systems review on determining efficient battery management systems." International Journal of Science and Research Archive 8, no. 1 (2023): 662–68. http://dx.doi.org/10.30574/ijsra.2023.8.2.0334.
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Energy storage systems have become a crucial component of smart grids, enabling the efficient integration of renewable energy sources, and reducing peak demand. Smart energy storage systems (SESS) are considered one of the key technologies for the future power system, and battery management systems (BMS) play a critical role in optimizing their performance. This paper provides a comprehensive review of SESS and BMS, focusing on the determination of efficient battery management systems. First, the paper presents an overview of SESS and their importance in modern power systems. The different types of SESS, including electrochemical, thermal, and mechanical energy storage systems, are discussed along with their advantages and limitations. Then, the paper presents a detailed description of the BMS and its functions, such as state-of-charge estimation, cell balancing, and thermal management. Next, the paper reviews the recent developments in BMS design and implementation, including hardware and software advancements. The importance of accurate modeling and simulation of battery systems is also discussed, as it can help optimize the performance and extend the lifetime of batteries. The paper also highlights the challenges associated with BMS, such as safety concerns, and discusses potential solutions. Finally, the paper concludes with a summary of the current state of the art in SESS and BMS and provides recommendations for future research. These include the need for further development of advanced BMS technologies, including artificial intelligence and machine learning, to improve battery performance, safety, and reliability. Additionally, the paper suggests the importance of standardization and interoperability of BMS systems to enable seamless integration into the grid. Overall, this paper provides a valuable resource for researchers and practitioners interested in SESS and BMS design and optimization.
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Gupta, Sandeep, Garg P.K., and Ghosh S.K. "GIS Based Bridge Management System (BMS) for Urban Agglomerate." i-manager's Journal on Structural Engineering 3, no. 1 (2014): 27–31. http://dx.doi.org/10.26634/jste.3.1.2982.
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Thoft-Christensen, P. "Advanced bridge management systems." Structural Engineering Review 7, no. 3 (1995): 151–63. https://doi.org/10.1016/0952-5807(95)00016-8.
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Marasabessy, Erwin. "IMPLEMENTATION OF BRIDGE MANAGEMENT SYSTEM ON INTERURBAN BRIDGE IN MALUKU PROVINCE." Journal of the Civil Engineering Forum 1, no. 2 (2017): 63. http://dx.doi.org/10.22146/jcef.23999.
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Bridges as transport infrastructures play a vital role in smoothing traffic flows. The success of a bridge in playing its role and serving its function depends on its management. The Directorate General of Highways of the Ministry of Public Work has used a system to manage bridges known as the Bridge Management System (BMS). The system allows a systematic plan and provides a uniform procedure for all bridge operation activities on the national and provincial level. Data from Implementation Agency of National Inter-Urban Roads of Area IX, Northern Maluku in 2011 indicates that the total length of national roads in Maluku Province is 15,238.01 M, with a total of 562 bridges. In Ambon Island, especially, there are 52 bridges totaling 1,176.25 m in length. The study was conducted at several inter-urban bridges in Maluku Province of Ambon Island: Wai Batu Merah, Wai Ruhu, Wai Lawa, Wai Yari and Wai Tua bridges. Assessment of bridge structure conditions was conducted visually to determine the conditions of the existing bridges comprehensively by referring to the Bridge Management System (BMS) complemented with a computer-based Bridge Management Information System (BMIS). Condition scores for the five bridges—Wai Batu Merah, Wai Ruhu, Wai Lawa, Wai Yari, and Wai Tua, according to Bridge Management System, are 2, 1, 2, 1, and 2 respectively. The scores of the five bridges indicate that their physical condition can be categorized as good or with minor defects. Based on technical screening, the proposed treatment for Wai Batu Merah, Wai Ruhu, Wai Lawa, dan Wai Tua bridges is the rehabilitation of their sub-elements. As for the Wai Yari Bridge, the treatment will be maintained regularly. The defect repair costs are IDR 149,138,238.00, IDR 81,048,000.00, IDR 174,579,106.10, IDR 79,233,324.01 and IDR 238,323,258.60 for Wai Batu, Wai Ruhu, Wai Lawa, Wai Yari, and Wai Tua Bridges, respectively.
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OLIVEIRA, C. B. L., M. GRECO, and T. N. BITTENCOURT. "Analysis of the brazilian federal bridge inventory." Revista IBRACON de Estruturas e Materiais 12, no. 1 (2019): 1–3. http://dx.doi.org/10.1590/s1983-41952019000100002.
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Abstract Bridge Management aims to provide an appropriate support to decision-making for maintenance, rehabilitation and repair strategies under constraint of limited budgets. In this regard, the Federal Brazilian Department of Transportation (DNIT) has developed the SGO - a Brazilian Bridge Management System (B-BMS) - and promoted the most comprehensive road bridge inventory under its direct administration. To improve the management of these bridge assets, the DNIT is working to develop a statistical model to predict the future condition of bridge: the most efficient and effective tool in a BMS to planning when the maintenance actions will be required. The current paper reports on findings of inventory, predominantly composed of reinforced concrete bridges, focusing on potential deterioration agents reported and checking their influence on deterioration conditions. Based on national database, the paper proposes a methodology to forecast Brazilian bridges deterioration rates. An example of application is demonstrated and satisfactory prediction accuracy obtained, even for few inspection cycles and under restricted database information.
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Noran, Ovidiu, Ion Sota, and Peter Bernus. "Towards Next Generation Building Management Systems." E3S Web of Conferences 111 (2019): 05004. http://dx.doi.org/10.1051/e3sconf/201911105004.
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The Internet of Things (IoT) paradigm is gradually finding its way in virtually every industry; however, beyond adding more sensors and measuring and controlling previously inaccessible domains, it is also about transforming ‘legacy’ approaches to control systems, such as those used in Building Management Systems (BMS), by leveraging on the advantages brought by Cyber Physical Systems (CPS). The purpose of this paper is to address several issues gradually emerging in the process of applying the CPS and IoT paradigms to revolutionise BMS. The results of this on-going research aim to help avoid potential pitfalls and provide a sound platform for taking advantage of the benefits brought by this technology in a feasible, effective and controlled manner. More specifically, the paper will address i) the changing meaning of interoperability in the context of the explosion in the number of IoT devices, ii) the need for guidance in adopting sustainable CPS and IoT platforms supporting BMS, based on appropriate non-functional and viable systems principles, iii) emerging issues in the BMS ‘cloudification’ endeavour and iv) the lack of data sources’ correlation resulting in sub-optimal data quality and detail in using Big Data technologies to enable effective analytics for prompt BMS decision-making.
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Wang, Zeng Zhong, Li Chu Fan, and Mark Hastak. "Multi-Criteria Optimization of Bridge Management." Advanced Materials Research 255-260 (May 2011): 4080–84. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.4080.
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Optimizing investment funding levels and combinations of treatment types and timings, as an aid to management decision making, are vital functions of any bridge management system (BMS). Bridge management is always involved the bridge performance assessment which is essentially a multiple criteria decision making (MCDM) problem, which involves multiple assessment criteria such as traffic safety enhancement, preservation of bridge condition, protection from extreme events, agency cost minimization and user cost minimization. In this paper, a multi-criteria optimization methodology was developed not only to take due cognizance of costs but also to include a wide range of performance criteria to facilitate balanced decision-support practices in bridge management. The proposed methodology uses the AHP to determine the weights of criteria, linguistic terms to assess bridge performance under each criterion and aggregate bridge performance under different criteria into an overall performance score for each bridge structure. A numerical example illustrated the integrated methodology and the optimization process.
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Akbar, Abi Oktariva, Elvira Handayani, Annisaa Dwiretnani, and Ria Zulfiati. "Identifikasi Urutan Prioritas Penanganan dalam Pemeriksaan Kondisi Jembatan dengan Metode Bridge Management System (BMS)." Jurnal Talenta Sipil 7, no. 2 (2024): 981. http://dx.doi.org/10.33087/talentasipil.v7i2.613.
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One piece of infrastructure that has an important role in a road network is a bridge. Bridges are land transportation infrastructure that is useful for continuing roads through existing obstacles such as rivers, so the collapse of a bridge will reduce or hold up traffic, which means disrupting the smooth transportation of people and goods. A bridge is a structure that crosses a river or other traffic barrier, so the collapse of the bridge will reduce or hold back traffic, which as a result will disrupt the comfort of traffic and disrupt economic relations. The purpose of a bridge inspection is to ensure that the bridge is in a safe condition for road users and also to secure the investment value of the bridge. In this thesis, we will discuss the identification of bridge condition checks which are carried out directly by conducting field surveys.
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Gabbar, Hossam A., Ahmed M. Othman, and Muhammad R. Abdussami. "Review of Battery Management Systems (BMS) Development and Industrial Standards." Technologies 9, no. 2 (2021): 28. http://dx.doi.org/10.3390/technologies9020028.
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The evolving global landscape for electrical distribution and use created a need area for energy storage systems (ESS), making them among the fastest growing electrical power system products. A key element in any energy storage system is the capability to monitor, control, and optimize performance of an individual or multiple battery modules in an energy storage system and the ability to control the disconnection of the module(s) from the system in the event of abnormal conditions. This management scheme is known as “battery management system (BMS)”, which is one of the essential units in electrical equipment. BMS reacts with external events, as well with as an internal event. It is used to improve the battery performance with proper safety measures within a system. Therefore, a safe BMS is the prerequisite for operating an electrical system. This report analyzes the details of BMS for electric transportation and large-scale (stationary) energy storage. The analysis includes different aspects of BMS covering testing, component, functionalities, topology, operation, architecture, and BMS safety aspects. Additionally, current related standards and codes related to BMS are also reviewed. The report investigates BMS safety aspects, battery technology, regulation needs, and offer recommendations. It further studies current gaps in respect to the safety requirements and performance requirements of BMS by focusing mainly on the electric transportation and stationary application. The report further provides a framework for developing a new standard on BMS, especially on BMS safety and operational risk. In conclusion, four main areas of (1) BMS construction, (2) Operation Parameters, (3) BMS Integration, and (4) Installation for improvement of BMS safety and performance are identified, and detailed recommendations were provided for each area. It is recommended that a technical review of the BMS be performed for transportation electrification and large-scale (stationary) applications. A comprehensive evaluation of the components, architectures, and safety risks applicable to BMS operation is also presented.
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Lee, Jae Ho, Hong Guan, Yew Chaye Loo, Michael Blumenstein, and Xin Ping Wang. "Modelling Long-Term Bridge Deterioration at Structural Member Level Using Artificial Intelligence Techniques." Applied Mechanics and Materials 99-100 (September 2011): 444–53. http://dx.doi.org/10.4028/www.scientific.net/amm.99-100.444.
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Efficient use of public funds for structural integrity of bridge networks requires an effective bridge asset management technology. To achieve this, a reliable deterioration model is essential in any Bridge Management System (BMS). The deterioration rate is calculated based on historical condition ratings obtained from the structural element-level bridge inspections. Although most bridge authorities have previously conducted inspection and maintenance tasks, these past inspection records are incompatible with what are required by a typical BMS as input. Such incompatibility is a major cause for the deficiency of the current BMS outcomes. Artificial Intelligence (AI)-based bridge deterioration model has recently been developed to minimise uncertainties in predicting deterioration of structural bridge members (e.g. beams, piers etc). This model contains two components: (1) using Neural Network-based Backward Prediction Model (BPM) to generate unavailable historical condition ratings; and (2) using Time Delay Neural Network (TDNN) to perform long-term performance prediction of bridge structural members. However new problems have emerged in the process of TDNN prediction. This is because the BPM-generated condition ratings are used together with the actual condition ratings. The incompatibility between the two sets of data produces unreliable prediction outcomes during the TDNN process. This research is thus to develop a new process based on the existing method, thereby overcoming the abovementioned problems. To achieve this, the actual overall condition ratings are replaced by the BPM forward predicted condition ratings. Consequently, the outcome of this study can improve accuracy of long-term bridge deterioration prediction.
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Alawiya, Tuti, Yohanes Martono Hadi, and Idharmahadi Adha. "Korelasi Antara IRMS dan BMS di Ruas Jalan Nasional Profinsi lampung (Studi Kasus Evaluasi Pertahun Anggaran Dari Tahun 2012 Sampai Tahun 2015)." Jurnal Rekayasa Sipil dan Desain 4, no. 2 (2016): 328–32. https://doi.org/10.23960/jrsdd.v4i2.355.
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National Roads System in Lampung is the Sumatra gateway from Java to the others Provinces in Sumatra island and vice versa, and the highway as the main of development in a region that should comply the needs of the movement of traffic, among others, Fast, Convenient, Safe, Durable, and environmentally friendly. Evaluation or study was conducted to carry out the review section of the Roads System and National Bridge in Lampung based on IRMS and BMS data that is a management tool to see the condition of roads and bridge. Not affiliated between IRMS and BMS have caused the lack of evaluation on the construction and maintenance of roads and bridges on national roads in Lampung.This study aims to correlation between IRMS and BMS that the condition of roads and bridges are related, so that to taking the decision to determine the construction, periodic maintenance or routine maintenance of roads and bridges in Lampung appropriate to the real conditions by prioritizing the bridge specially the periodic maintenance.So that it can be taken a linkage that the time periode for the traffic to move from a place to the other placse is affected by the conditons of the roads and bridge. Nowadays, the result of IRMS and BMS as a benchmark that used by policy makers as a basis for determining future programs like Planning, Maintenance, and Development. While in taking decisions isn’t appropriate with the real conditions. Keywords: Correlation Between IRMS-BMS, Road and Bridge Conditions
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Akgul, Ferhat. "Bridge management in Turkey: a BMS design with customised functionalities." Structure and Infrastructure Engineering 12, no. 5 (2015): 647–66. http://dx.doi.org/10.1080/15732479.2015.1035284.
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Hasanudin, Hasanudin. "Metode Penilaian Kondisi Jembatan Beton Prategang." Jurnal Media Teknik dan Sistem Industri 1 (December 26, 2017): 72. http://dx.doi.org/10.35194/jmtsi.v1i0.202.
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Abstract— Bridges as one of the infrastructure that plays a role in supporting ground transportation, during it service will experience a decrease in conditions caused by the influence of traffic loads, weather effects, environmental influences or other influences. To eliminate the interference required maintenance. A building maintenance including a bridge is preceded by a condition checking activity, and subsequent assessment of conditions. During this examination and assessment of the condition of the bridge refers to the method of inspection and assessment of the conditions set in Bridge Management System (BMS) 1993. There are still weaknesses in the assessment of conditions with Bina Marga BMS caused by the absence of methods of assessing the condition of prestressed concrete bridges. This research is a development of BMS condition assessment, to be used as an assessment of prestressed concrete bridge condition. The object of this research is focused on prestressed precast concrete bridge, namely Kiaracondong Bridge (Bandung) and Cimindi bridge (Cimahi) West Java. The method of assessing the condition undertaken is the examination of damage to the bridge components (physical indicator) through visual inspection, not equipped with destructive and non destructive testing (advanced stage of inspection). Assessment of the conditions developed is the assessment of conditions on the security aspects of the structure and aspects of traffic convenience, where the structure security aspect is the multiplication of the condition of the main part of the building over the bridge. After doing research it can be seen that Cimindi bridge condition value is 3,5-4,25 (need monitoring) and Kiaracondong bridge (very good). The deficiency in the method of assessing the condition in this study is that the assessment of the condition of the bridge is done visually only, so it can not predict the damage to the prestressed concrete components inside. Further examination is required after examination and assessment of this condition is done especially when it is found suspicious things.Keywords: Bridge Management System; Assessment of bridge condition; Prestressed Concrete
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Hassanain, Mohammad A., Ameen Bin-Mohanna, Abdul-Mohsen Al-Hammad, and Muizz O. Sanni-Anibire. "Challenges to the implementation of building management systems in Saudi Arabia." Built Environment Project and Asset Management 7, no. 2 (2017): 130–42. http://dx.doi.org/10.1108/bepam-05-2016-0022.
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Purpose The purpose of this paper is to present an assessment of the challenges to the implementation of building management systems (BMS) in Saudi Arabia, during the life cycle of building projects. Design/methodology/approach Review of literature and interviews were conducted with professionals to identify and synthesize the challenges to the implementation of BMS in Saudi Arabia. This formed the basis of three questionnaire surveys that were designed utilizing a five-point Likert scale, and consisted of 32 challenges. The surveys were assessed by representatives of architectural/engineering (A/E) firms, BMS installation sub-contractors and facilities managers to calculate the effect index of each challenge. Findings The top influential challenges pertaining to the briefing and design phase includes “inappropriate selection of the BMS,” “inappropriate selection of the A/E team”; installation and final acceptance phase includes “inappropriate selection of sub-contractors to install the BMS” and “inappropriate selection of the BMS suppliers,” operation and maintenance phase includes “inadequate initial training for the BMS facility personnel,” “poor operation and maintenance activities.” Practical implications The paper is of practical benefit to stakeholders in the building industry, as it allows for the development of an effective BMS implementation plan. Originality/value The study increases the level of awareness in the building industry about the challenges that influence the implementation of BMS.