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Journal articles on the topic 'Bridge deterioration'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Huang, Rong Yau, and Ping Fu Chen. "The Influential Factors and Association Rules for Bridge Deck Deterioration - Case Study of National Bridge Inventory Data." Applied Mechanics and Materials 94-96 (September 2011): 2276–79. http://dx.doi.org/10.4028/www.scientific.net/amm.94-96.2276.

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Bridge is the hub of a road, playing an important role in transportation. With the age of bridges increasing in recent years, the condition of bridges is deteriorating. Bridge deterioration usually results from multiple factors. Studies in exploring the factors leading to bridge deterioration and its state estimation are booming. However, studies in the relationship between bridge deterioration and external environment by using database are still limited. Since 1992, National Bridge Inventory (NBI) has collected basic and historical information of bridges in every state, a very rich database w

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2

Xia, Ye, Xiaoming Lei, Peng Wang, and Limin Sun. "Artificial Intelligence Based Structural Assessment for Regional Short- and Medium-Span Concrete Beam Bridges with Inspection Information." Remote Sensing 13, no. 18 (2021): 3687. http://dx.doi.org/10.3390/rs13183687.

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The functional and structural characteristics of civil engineering works, in particular bridges, influence the performance of transport infrastructure. Remote sensing technology and other advanced technologies could help bridge managers review structural conditions and deteriorations through bridge inspection. This paper proposes an artificial intelligence-based methodology to solve the condition assessment of regional bridges and optimize their maintenance schemes. It includes data integration, condition assessment, and maintenance optimization. Data from bridge inspection reports is the main

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Gallagher, K. A. "Concrete bridge deterioration." Construction and Building Materials 3, no. 4 (1989): 184–90. http://dx.doi.org/10.1016/0950-0618(89)90012-3.

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4

An, Xin Zheng, Cheng Yi, and Rui Xue Du. "Performance Deterioration Behavior of Existing Reinforced Concrete Bridges." Advanced Materials Research 79-82 (August 2009): 1367–70. http://dx.doi.org/10.4028/www.scientific.net/amr.79-82.1367.

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The analyses of concrete from a bridge in Handan district shows that most bridges concrete should have cracked. The study of the technical measures against the performance deterioration of existing reinforced concrete bridges will undoubtedly become an imperative issue. In recent years, lots of bridges have been built in Handan. We choose a reinforced concrete bridge to investigate the effect of the effective member stiffness degradation and durability degradation induced by vehicle overload, vehicle overflow, rebar corrosion, and concrete deterioration on highway reinforced concrete bridges.

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Kim, Ki Hwan, Moon S. Nam, Hoon Hee Hwang, and Ki Yong Ann. "Prediction of Remaining Life for Bridge Decks Considering Deterioration Factors and Propose of Prioritization Process for Bridge Deck Maintenance." Sustainability 12, no. 24 (2020): 10625. http://dx.doi.org/10.3390/su122410625.

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Aged highway bridges have become substantially prevalent in recent years. Moreover, combined deterioration, caused by using deicing agents in winter, has led to increased bridge maintenance costs. Accordingly, to extend the service life of bridge decks, this study utilized actual inspection data and major deterioration factors to derive the remaining service life of bridge decks. Based on this study, the following three factors are selected: deicing agent exposure grade, pavement condition state, and surface improvement status. Performance degradation curves were derived for 11 cases that cons

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Fang, Yu, and Lijun Sun. "Developing A Semi-Markov Process Model for Bridge Deterioration Prediction in Shanghai." Sustainability 11, no. 19 (2019): 5524. http://dx.doi.org/10.3390/su11195524.

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The performance of urban bridges will deteriorate gradually throughout service life. Bridge deterioration prediction is essential for bridge management, especially for maintenance planning and decision-making. By considering the time-dependent reliability in the bridge deterioration process, a Weibull distribution based semi-Markov process model for urban bridge deterioration prediction was proposed in this paper. Historical inspection records stored in the Bridge Manage System (BMS) database in Shanghai since 2004 were investigated. The Weibull distribution was used to characterize the bridge

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7

Li, Li, Lijun Sun, and Guobao Ning. "Deterioration Prediction of Urban Bridges on Network Level Using Markov-Chain Model." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/728107.

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Bridges play an important role in urban transportation network. However, it is hard to predict the bridge deterioration precisely in Shanghai, because records of various bridge types with different maintenance status coexist in the same database and the bridge age span is also large. Therefore a Markov-chain model capable of considering maintenance factors is proposed in this study. Three deterioration circumstances are modeled including natural decay, conventional recoverable decay, and enhanced recoverable decay. Three components as well as the whole bridge are predicted including bridge dec

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8

Hearn, George. "Use of Bridge Element Condition Reports to Measure Performance of Bridge Preservation." Transportation Research Record: Journal of the Transportation Research Board 2612, no. 1 (2017): 141–51. http://dx.doi.org/10.3141/2612-16.

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A method to measure the performance of bridge preservation through the use of bridge–level element condition reports is demonstrated. The performance measure makes bridge-by-bridge evaluations of the relative conditions of elements that are major assemblies of bridges and elements that affect the exposure of major assemblies to deterioration. In an evaluation of performance, a bridge can be in a state of good preservation, at risk of deteriorating to poor condition, or already in poor condition. Bridge condition reports from 50 U.S. states are used in this evaluation of the performance of brid

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Lokuge, Weena, Nirdosha Gamage, and Sujeeva Setunge. "Fault tree analysis method for deterioration of timber bridges using an Australian case study." Built Environment Project and Asset Management 6, no. 3 (2016): 332–44. http://dx.doi.org/10.1108/bepam-01-2016-0001.

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Purpose – Deterioration of timber bridges can often be related to a number of deficiencies in the bridge elements, connectors and/or as a result of been in aggressive environments which they are exposed to. The maintenance cost of timber bridges is affected significantly by a number of deterioration mechanisms which require a systematic approach for diagnosis and treatment. Evaluating the risk of failure of these bridges is of importance in bridge performance assessment and decision making to optimize rehabilitation options. The paper aims to discuss these issues. Design/methodology/approach –

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10

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 dec

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11

Wang, Cao. "Resistance Assessment of Service-Proven Aging Bridges Incorporating Deterioration-Load Dependency." Infrastructures 5, no. 1 (2020): 10. http://dx.doi.org/10.3390/infrastructures5010010.

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The historical vehicles passed through an existing bridge can be regarded as proof-loading tests for the bridge, and, as a result, are evident of the bridge’s performance. Such service history information has been utilized to update the estimate of bridge resistance in previous studies with the help of a Bayesian method, where the resistance deterioration process was assumed to be independent of the vehicle load process. This assumption is, however, untenable in many cases where the deterioration stochastic process is statistically correlated with the load process (e.g., a greater load intensi

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12

Fujiu, Makoto, Takahiro Minami, and Jyunichi Takayama. "Environmental Influences on Bridge Deterioration Based on Periodic Inspection Data from Ishikawa Prefecture, Japan." Infrastructures 7, no. 10 (2022): 130. http://dx.doi.org/10.3390/infrastructures7100130.

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In the United States, many people have suffered losses caused by the collapse of deteriorated road bridges and subsequent road closures, and in Japan, bridges built during rapid economic growth are now reaching the end of their planned service period. Under these circumstances, instead of corrective maintenance, regular visual inspections of the bridges are performed once every five years to implement preventative maintenance. In this study, to identify those bridges prone to rapid deterioration, deterioration rates were calculated based on data from two cycles of inspection results, and the e

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Su, Dan, Yisheng Liu, Xintong Li, and Zhicheng Cao. "Study on optimization of inspection mechanism of concrete beam bridge." PLOS ONE 16, no. 8 (2021): e0256028. http://dx.doi.org/10.1371/journal.pone.0256028.

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China is shifting from the stage of large-scale bridge construction to the stage of equal emphasis on the construction and maintenance of bridges. The problems of low efficiency and high cost in bridge inspection are becoming more and more prominent, which threaten people’s life safety. In this paper, the deterioration state prediction model of concrete beam bridge under Boosting DT C5.0 was established as the basis, and optimization suggestions were put forward in terms of bridge inspection standards and processes, which aims to perfect the bridge inspection mechanism, realize the fine manage

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So, Kevin K. L., Moe M. S. Cheung, and Eric X. Q. Zhang. "Life-Cycle Management Strategy on Steel Girders in Bridges." Advances in Civil Engineering 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/643543.

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The major problems affecting the service life of bridges are related to various factors such as fatigue-sensitive details, increased service loads, corrosion deterioration, and the lack of proper maintenance. Among them, corrosion deterioration and fatigue damages of structures particularly to steel girder bridges are the most common ones. Bridges of different structural forms, at different locations or under different climates, may suffer from various degrees of deterioration. Steel girders at different positions of a bridge may also suffer from different degrees of damage. How to effectively

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15

Chuang, Yu-Han, Nie-Jia Yau, and John Mark M. Tabor. "A Big Data Approach for Investigating Bridge Deterioration and Maintenance Strategies in Taiwan." Sustainability 15, no. 2 (2023): 1697. http://dx.doi.org/10.3390/su15021697.

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Due to the dwindling maintenance budget and lack of qualified bridge inspectors, bridge-management agencies in Taiwan need to develop cost-effective maintenance and inspection strategies to preserve the safety and functionality of their aging, natural disaster-prone bridges. To inform the development of such a strategy, this study examined the big data stored in the Taiwan Bridge Management System (TBMS) using the knowledge discovery in databases (KDD) process. Cluster and association algorithms were applied to the inventory and five-year inspection data of 2849 bridges to determine the bridge

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Inkoom, Sylvester, and John O. Sobanjo. "Reliability Importance as a Measure of Bridge Element Condition Index for Deteriorating Bridges." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 12 (2019): 327–38. http://dx.doi.org/10.1177/0361198119862627.

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As a concerted effort to improve the outcomes of bridge asset management, state highway agencies and Departments of Transportation (DOT) often improve their modes of bridge performance assessment using advanced deterioration models, optimized cost models, and other multi-objective preservation analysis in bridge monitoring processes. This paper attempts to utilize reliability importance index of a bridge component as a performance measure of the criticality of each element or subsystem to the entire bridge system. This paper investigates three major concepts regarding the importance of bridge

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17

Chirdeep, N. R., M. Bhargav Chowdary, and Shivang Shekhar. "Influence of Corrosion Deterioration on Lifetime Seismic Resilience of Highway Bridges." Proceedings of the 12th Structural Engineering Convention, SEC 2022: Themes 1-2 1, no. 1 (2022): 915–23. http://dx.doi.org/10.38208/acp.v1.602.

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Highway bridges across the globe have demonstrated vulnerability to damage during earthquake events. While earthquakes occur infrequently, environmental degradation mechanisms such as chloride-induced corrosion deterioration are continuous and decrease the structural performance over time. There is a need to assess the performance of existing older bridges in India, taking into account the combined threats of corrosion degradation and seismic hazard. In this regard, resilience has emerged as a powerful tool to determine the bridge performance integrating the seismic vulnerability, losses, and

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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 B

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19

Chen, Zhang, Yangyang Wu, Li Li, and Lijun Sun. "Application of Artificial Intelligence for Bridge Deterioration Model." Scientific World Journal 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/743643.

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The deterministic bridge deterioration model updating problem is well established in bridge management, while the traditional methods and approaches for this problem require manual intervention. An artificial-intelligence-based approach was presented to self-updated parameters of the bridge deterioration model in this paper. When new information and data are collected, a posterior distribution was constructed to describe the integrated result of historical information and the new gained information according to Bayesian theorem, which was used to update model parameters. This AI-based approach

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20

Ghosh, Jayadipta, Keivan Rokneddin, Jamie E. Padgett, and Leonardo Dueñas-Osorio. "Seismic Reliability Assessment of Aging Highway Bridge Networks with Field Instrumentation Data and Correlated Failures, I: Methodology." Earthquake Spectra 30, no. 2 (2014): 795–817. http://dx.doi.org/10.1193/040512eqs155m.

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The state-of-the-practice in seismic network reliability assessment of highway bridges often ignores bridge failure correlations imposed by factors such as the network topology, construction methods, and present-day condition of bridges, among others. Additionally, aging bridge seismic fragilities are typically determined simply using historical estimates of deterioration parameters. This research presents a methodology to estimate bridge fragilities using spatially interpolated and updated deterioration parameters from a limited set of instrumented bridges in the network, while incorporating

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21

Saeed Hasan, Md, Sujeeva Setunge, David W. Law, and Yew Chin Koay. "Forecasting Deterioration of Bridge Components from Visual Inspection Data." International Journal of Engineering and Technology 7, no. 1 (2015): 40–44. http://dx.doi.org/10.7763/ijet.2015.v7.763.

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22

Rokneddin, Keivan, Jayadipta Ghosh, Leonardo Dueñas-Osorio, and Jamie E. Padgett. "Seismic Reliability Assessment of Aging Highway Bridge Networks with Field Instrumentation Data and Correlated Failures, II: Application." Earthquake Spectra 30, no. 2 (2014): 819–43. http://dx.doi.org/10.1193/040612eqs160m.

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The bridge reliability in networks (BRAN) methodology introduced in the companion paper is applied to evaluate the reliability of part of the highway bridge network in South Carolina under a selected seismic scenario. The case study demonstrates Bayesian updating of deterioration parameters across bridges after spatial interpolation of data acquired from limited instrumented bridges. The updated deterioration parameters inform aging bridge seismic fragility curves through multi-dimensional integration of parameterized fragility models, which are utilized to derive bridge failure probabilities.

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Ilbeigi, Mohammad, and Bhushan Pawar. "A Probabilistic Model for Optimal Bridge Inspection Interval." Infrastructures 5, no. 6 (2020): 47. http://dx.doi.org/10.3390/infrastructures5060047.

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The US Department of Transportation and Federal Highway Administration require routine inspections to monitor bridge deterioration. Typically, bridge inspections are conducted every 24 months. This timeframe was determined solely based on engineering judgment. The objective of this study is to develop probabilistic models to forecast bridge deterioration and statistically determine the optimal inspection intervals. A two-dimensional Markov process model that considers the current condition of a bridge, and number of years that the bridge has been in that condition, is created to predict future

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Bolukbasi, M. Melik, David Arditi, and Jamshid Mohammadi. "Deterioration of reconstructed bridge decks." Structure and Infrastructure Engineering 2, no. 1 (2006): 23–31. http://dx.doi.org/10.1080/15732470500030935.

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Omar, Abdelhady, and Osama Moselhi. "Hybrid feature selection framework for predicting bridge deck conditions." Journal of Information Technology in Construction 27 (November 22, 2022): 1028–41. http://dx.doi.org/10.36680/j.itcon.2022.050.

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Bridge decks’ maintenance funding requirements are influenced by bridge decks' current and predicted future conditions. Additionally, the serviceability of bridges may be negatively impacted by the degradation of bridge decks. Bridge inspections require considerable effort, time, cost, and resources; besides, such inspections may introduce hazards and safety concerns. This paper introduces a data-driven hybrid feature selection framework for predicting bridge deck deterioration conditions and applying it to a bridge deck in Iowa State, USA. Firstly, the Boruta algorithm, stepwise regression, a

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Santos, Ademir F., Maurício S. Bonatte, Hélder S. Sousa, Túlio N. Bittencourt, and José C. Matos. "Improvement of the Inspection Interval of Highway Bridges through Predictive Models of Deterioration." Buildings 12, no. 2 (2022): 124. http://dx.doi.org/10.3390/buildings12020124.

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Bridges have substantial significance within the transport system, considering that their functionality is essential for countries’ social and economic development. Accordingly, a superior level of safety and serviceability must be reached to ensure the operating status of the bridge network. On that account, the recent collapses of road bridges have led the technical–scientific community and society to reflect on the effectiveness of their management. Bridges in a network are likely to share coinciding environmental conditions but may be subjected to distinct structural deterioration processe

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Chyad, Aqeed Mohsin, and Osama Abudayyeh. "Deterioration Prediction Modelling and Inspection Schedule Estimation for Concrete Bridge Decks." Journal of Civil Engineering and Construction 9, no. 2 (2020): 63–73. http://dx.doi.org/10.32732/jcec.2020.9.2.63.

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Accurate and reliable deterioration rate estimates for concrete bridge decks are an important part of the overall bridge condition assessment. The main objective of this paper is to determine the time in condition ratings (TICRs) of concrete bridge decks and assess the impact of average daily traffic (ADT), age, and deck area on the bridge deck condition. Condition ratings of bridge decks over 24 years for Michigan state were collected from the National Bridge Inventory (NBI) data. The Anderson-Darling statistical test was used to evaluate and rank five practical probability distribution funct

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Mašović, Snežana, and Rade Hajdin. "Modelling of bridge elements deterioration for Serbian bridge inventory." Structure and Infrastructure Engineering 10, no. 8 (2013): 976–87. http://dx.doi.org/10.1080/15732479.2013.774426.

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Pittou, Mariza, Matthew G. Karlaftis, and Zongzhi Li. "Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements." Advances in Civil Engineering 2009 (2009): 1–12. http://dx.doi.org/10.1155/2009/809767.

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This paper introduces binary recursive partitioning (BRP) as a method for estimating bridge deck deterioration and treats it as a classification and decision problem. The proposed BRP method is applied to the Indiana bridge inventory database containing 25 years of detailed information on approximately 5,500 bridges on state-maintained highways. Classification trees are separately created for 4 and 2 prediction classes and relatively high degrees of success are achieved for deck condition prediction. The significant variables identified as the most influential include current deck condition an

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Bu, Guo Ping, Jae Ho Lee, Hong Guan, Yew Chaye Loo, and Michael Blumenstein. "Long-Term Performance of Bridge Elements Using Integrated Deterioration Method Incorporating Elman Neural Network." Applied Mechanics and Materials 204-208 (October 2012): 1980–87. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.1980.

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Currently, probabilistic deterioration modeling techniques have been employed in most state-of-the-art Bridge Management Systems (BMSs) to predict future bridge condition ratings. As confirmed by many researchers, the reliability of the probabilistic deterioration models rely heavily on the sufficient amount of condition data together with their well-distributed historical deterioration patterns over time. However, inspection records are usually insufficient in most bridge agencies. As a result, a typical standalone probabilistic model (e.g. state-based or time-based model) is not promising fo

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Chen, Gang S., Feng Xiao, Wael Zatar, and J. Leroy Hulsey. "Characterization of Nonstationary Mode Interaction of Bridge by Considering Deterioration of Bearing." Advances in Materials Science and Engineering 2018 (2018): 1–8. http://dx.doi.org/10.1155/2018/5454387.

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As all bridges get deteriorated over time, structural health monitoring of these structures has become very important for the damage identification and maintenance work. Evaluating a bridge’s health condition requires the testing of a variety of physical quantities including bridge dynamic responses and the evaluation of the functions of varied bridge subsystems. In this study, both the acceleration of the deck and the dynamic rotational angle of the bearings in a long-span steel girder bridge were measured when the bridge system was excited by passing-by vehicles. The nonstationary dynamical

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Luckai, Jeffrey, Maria Anna Polak, and Scott Walbridge. "A methodology for evaluating the effects of spalling on the structural capacity of reinforced concrete bridge girders." Canadian Journal of Civil Engineering 41, no. 3 (2014): 197–205. http://dx.doi.org/10.1139/cjce-2011-0263.

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Corrosion of the reinforcing steel is a primary deterioration mechanism for reinforced concrete bridges. The spatial distribution of such spalling, relative to bar splices and laps, has not been considered in previous studies and may have a significant influence on structural capacity. In this paper, a modified area concept for considering this spalling is proposed. A methodology has been developed that employs this concept for the practical evaluation of existing bridges. It uses graphical spalling surveys, reinforcement layout information, and existing information regarding material and geom

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Chyad, Aqeed Mohsin, and Osama Abudayyeh. "Performance Prediction Modeling of Concrete Bridge Deck Condition Using an Optimized Approach." Journal of Civil Engineering and Construction 9, no. 3 (2020): 127–37. http://dx.doi.org/10.32732/jcec.2020.9.3.127.

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Developing an accurate and reliable model for concrete bridge deck deterioration rates is a significant step in improving the condition assessment process. The main goal of this study is to develop a deterioration prediction model based on the condition ratings of concrete bridge decks over the past 25 years as reported in the National Bridge Inventory (NBI) database. While the literatures have typically suggested the Markov chain method as the most common technique used in condition assessment of bridges, the analysis in this pilot study suggests that the lognormal distribution function is a

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Zhang, Qing, Shinji Nozaki, Michio Hirose, and Hiroaki Morimoto. "Risk evaluation of concrete bridge deterioration." journal of Civil Engineering Information Processing System 14 (2005): 41–46. http://dx.doi.org/10.2208/journalac2003.14.0_41.

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Cesare, Mark A., Carlos Santamarina, Carl Turkstra, and Erik H. Vanmarcke. "Modeling Bridge Deterioration with Markov Chains." Journal of Transportation Engineering 118, no. 6 (1992): 820–33. http://dx.doi.org/10.1061/(asce)0733-947x(1992)118:6(820).

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Veshosky, David, Carl R. Beidleman, Gerald W. Buetow, and Muge Demir. "Comparative Analysis of Bridge Superstructure Deterioration." Journal of Structural Engineering 120, no. 7 (1994): 2123–36. http://dx.doi.org/10.1061/(asce)0733-9445(1994)120:7(2123).

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Ilbeigi, M., and M. Ebrahimi Meimand. "Statistical Forecasting of Bridge Deterioration Conditions." Journal of Performance of Constructed Facilities 34, no. 1 (2020): 04019104. http://dx.doi.org/10.1061/(asce)cf.1943-5509.0001347.

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Duque, Luis, Junwon Seo, and James Wacker. "Bridge Deterioration Quantification Protocol Using UAV." Journal of Bridge Engineering 23, no. 10 (2018): 04018080. http://dx.doi.org/10.1061/(asce)be.1943-5592.0001289.

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Abdelkader, Eslam Mohammed, Mohamed Marzouk, and Tarek Zayed. "Mapping Ground Penetrating Radar Amplitudes Using Artificial Neural Network and Multiple Regression Analysis Methods." International Journal of Strategic Decision Sciences 10, no. 2 (2019): 84–106. http://dx.doi.org/10.4018/ijsds.2019040105.

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Bridges are aging and deteriorating. Thus, the development of Bridge Management Systems (BMSs) became imperative nowadays. Condition assessment is one of the most critical and vital components of BMSs. Ground Penetrating Radar (GPR) is one of the non-destructive techniques (NDTs) that are used to evaluate the condition of bridge decks which are subjected to the rebar corrosion. The objective of the proposed method is to develop standardized amplitude scale for bridge decks based on a hybrid optimization-decision making model. Shuffled frog leaping algorithm is employed to compute the optimum t

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Heo, Won-Ho. "Performance-Based Reliability Estimates for Highway Bridges Considering Previous Inspection Data." Applied Sciences 10, no. 5 (2020): 1873. http://dx.doi.org/10.3390/app10051873.

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This paper proposes a performance-based resistance deterioration model that reflects the site environment and inspection data for highway bridges. Traffic characteristics and corrosive environment are considered as the site environment. The corrosive environments and traffic characteristics are classified into three categories, namely mild, normal, and severe for the former and light, normal, and heavy for the latter. The deterioration of the resistance capacity due to corrosive environments is evaluated considering both the service period and the concrete crack widths in the pre-stressed conc

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Li, Le, Mojtaba Mahmoodian, Alireza Khaloo, and Zhiyan Sun. "Risk-Cost Optimized Maintenance Strategy for Steel Bridge Subjected to Deterioration." Sustainability 14, no. 1 (2021): 436. http://dx.doi.org/10.3390/su14010436.

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This paper aims to develop a deteriorated bridge maintenance strategy that ensures the safe operation of steel structures and minimizes the total risk. Five common failure modes are considered for the deteriorated bridge: flexure, shear, deflection, fatigue failure for girder, and chloride attack for the concrete deck. Time-dependent and system reliability analyses are carried out to find the probability of failure under these failure modes. Risk-cost optimization is then used to determine the maintenance strategy. This method was applied to a working example. It was found that the developed m

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Miao, Pengyong. "Prediction-Based Maintenance of Existing Bridges Using Neural Network and Sensitivity Analysis." Advances in Civil Engineering 2021 (July 28, 2021): 1–17. http://dx.doi.org/10.1155/2021/4598337.

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Bridge deterioration is affected by various factors. However, neither the relationships between these factors and deterioration are explicitly determined, nor the relative effect of each factor on deterioration is well understood. This study proposed a methodology to resolve these issues by integrating an artificial neural network (ANN) and sensitivity analysis method. The ANN was used to predict deterioration, and the sensitivity analysis method was applied to evaluate the influence of each factor on deterioration. Testing the methodology with 3,368 bridge inspection data pieces indicates tha

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Han, Daeseok. "Heterogeneous Deterioration Process and Risk of Deficiencies of Aging Bridges for Transportation Asset Management." Sustainability 13, no. 13 (2021): 7094. http://dx.doi.org/10.3390/su13137094.

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The government of the Republic of Korea has set the minimum service level of bridges as Grade B and has defined the risk management level as higher than 95 percent. To achieve this goal, it is necessary to understand the deterioration process and risk of deficiencies for bridges, and these characteristics should be reflected in the management strategy and budget investment plan. To this end, this study developed deterioration models according to the bridge ages to define heterogeneous deterioration characteristics of aging bridges. To build the deterioration models, this study collected and pr

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Nabizadeh, Azam, Habib Tabatabai, and Mohammad A. Tabatabai. "Conditional survival analysis for concrete bridge decks." Life Cycle Reliability and Safety Engineering 9, no. 1 (2019): 63–75. http://dx.doi.org/10.1007/s41872-019-00100-4.

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AbstractBridge decks are a significant factor in the deterioration of bridges, and substantially affect long-term bridge maintenance decisions. In this study, conditional survival (reliability) analysis techniques are applied to bridge decks to evaluate the age at the end of service life using the National Bridge Inventory records. As bridge decks age, the probability of survival and the expected service life would change. The additional knowledge gained from the fact that a bridge deck has already survived a specific number of years alters (increases) the original probability of survival at s

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Maes, M. A., X. Wei, and W. H. Dilger. "Fatigue reliability of deteriorating prestressed concrete bridges due to stress corrosion cracking." Canadian Journal of Civil Engineering 28, no. 4 (2001): 673–83. http://dx.doi.org/10.1139/l01-031.

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In this paper, an analysis framework is presented to develop a relationship between fatigue reliability in a prestressed concrete bridge and the progress of stress corrosion cracking (SCC) in prestressing steel. The fatigue limit state uses a cumulative damage model for prestressing steel wires, which is a function of both stress range and minimum stress. The SCC model takes into account varying degrees of material susceptibility, stress regimes, and environmental conditions and is structured around three stages: initiation of micro-cracking, propagation, and macro-crack instability using line

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SHUBBAR, ALI, Zainab Al-khafaji, Mohammed Nasr, and Mayadah Falah. "USING NON-DESTRUCTIVE TESTS FOR EVALUATING FLYOVER FOOTBRIDGE: CASE STUDY." Knowledge-Based Engineering and Sciences 1, no. 01 (2020): 23–39. http://dx.doi.org/10.51526/kbes.2020.1.01.23-39.

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The concrete structures deterioration in the last few decades required effective methods for evaluating and maintaining the structure condition. Currently, assessing the performance and safety of reinforced concrete (RC) structures relies on routine-based visual inspection (VI). However, there are another non-destructive test (NDT) technique that can provide a more accurate assessment of the structures. Thus, in this study, a footbridge located in Liverpool, UK is chosen as a case study and has NDT techniques used for assessment. The main objective of this research is to determine the conditio

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Alampalli, Sreenivas, and Gongkang Fu. "Remote Bridge Monitoring Systems for Bridge Condition." Journal of Low Frequency Noise, Vibration and Active Control 16, no. 1 (1997): 43–56. http://dx.doi.org/10.1177/026309239701600104.

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Long-term continuous monitoring of structures may be helpful in many aspects of structural engineering when parameters of interest may change significantly over time. To test the idea of continuous monitoring for bridges, and to examine sensitivity of vibration properties to structural damage/deterioration, specifications have been developed for remote bridge-monitoring systems. They were implemented on two structures for experimental monitoring of condition. This report describes their capabilities and summarizes experience in their design, installation, and operation.

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Bulusu, Srinivas, and Kumares C. Sinha. "Comparison of Methodologies to Predict Bridge Deterioration." Transportation Research Record: Journal of the Transportation Research Board 1597, no. 1 (1997): 34–42. http://dx.doi.org/10.3141/1597-05.

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Two methods for the estimation of bridge condition states were examined, one based on the Bayesian approach and the other using a binary probit model. The Bayesian approach was considered so that experts' opinions could be combined with observed data. Prior transition probabilities, based on bridge inspectors' experiences, were assumed to follow Dirichlet distribution. Observed data followed a multinomial distribution. The updated transition probabilities were used to predict bridge condition states. In the second approach, deterioration models were developed for each condition state. The depe

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Abdallah, Abdelrahman M., Rebecca A. Atadero, and Mehmet E. Ozbek. "A Comprehensive Uncertainty-Based Framework for Inspection Planning of Highway Bridges." Infrastructures 6, no. 2 (2021): 27. http://dx.doi.org/10.3390/infrastructures6020027.

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Bridge inspection standards in the United States require routine visual inspections to be conducted on most bridges at a maximum interval of two years regardless of the bridge condition. Limitations of this uniform calendar-based approach have been reported in the literature. Accordingly, the objective of this study is to provide a new systematic approach for inspection planning that integrates information from bridge condition prediction models, inspection data, and expert opinion using Bayesian analysis to enhance inspection efficiency and maintenance activities. The uncertainty-based inspec

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Choine, Mairéad Ní, Alan O’Connor, and Jamie E. Padgett. "A Seismic Reliability Assessment of Reinforced Concrete Integral Bridges Subject to Corrosion." Key Engineering Materials 569-570 (July 2013): 366–73. http://dx.doi.org/10.4028/www.scientific.net/kem.569-570.366.

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This paper seeks to determine the effect deterioration has on the seismic vulnerability of a 3 span integral concrete bridge. Traditionally it has been common to neglect the effects of deterioration when assessing the seismic vulnerability of bridges. However, since a lot of the bridges currently being assessed for retrofit are approaching the end of their design life, deterioration is often significant. Furthermore, since deterioration affects the main force resisting components of a bridge, it is reasonable to assume that it might affect its performance during an earthquake. For this paper,

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