Journal articles: 'Diagnosis of the building'

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Mohammed, Bukar, Zanna Ali, Ibrahim Ahmed, and Mohammed Adamu. "BUILDING CONDITION SURVEY AND SYSTEMATIC DEFECTS DIAGNOSIS ON LIBRARY BUILDING IN NIGERIA." International Journal of Innovative Research in Education, Technology & Social Strategies 8, no. 1 (March 25, 2021): 76–84. http://dx.doi.org/10.48028/iiprds/ijiretss.v8.i1.08.

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The building under investigation is at Mai Idris Alooma Polytechnic Geidam library situated in Yobe State North Eastern, Nigeria. The building is being occupied by large number of people many defects propelled were associated with cracks, discoloration, settlement, dampness, peeling, moisture and mold grow on the buildings besides environmental factors. These compelled the researcher to conduct the investigation to look into possible remedies in line with the bulk stage defects diagnostic that will be useful in identifying the aspect. The information gathered through survey of the affected building under investigation based on spatial severity degree of damages suffered on the buildings. Moreover; the analysis for the investigation is based on Assessment Rating system (BARIS) that provide very high-resolution to process the interferometric techniques. However, after a critical survey of the building facades from each side the researcher explores the major defects found on the building that is mostly attributed due to poor workmanship, general climatic conditions, and practical inadequacy during construction. Therefore, the diagnosis will predict the overall judgment for the type of repair required.

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Yuan, Shuang, Zhen-Zhong Hu, Jia-Rui Lin, and Yun-Yi Zhang. "A Framework for the Automatic Integration and Diagnosis of Building Energy Consumption Data." Sensors 21, no. 4 (February 17, 2021): 1395. http://dx.doi.org/10.3390/s21041395.

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Buildings account for a majority of the primary energy consumption of the human society, therefore, analyses of building energy consumption monitoring data are of significance to the discovery of anomalous energy usage patterns, saving of building utility expenditures, and contribution to the greater environmental protection effort. This paper presents a unified framework for the automatic extraction and integration of building energy consumption data from heterogeneous building management systems, along with building static data from building information models to serve analysis applications. This paper also proposes a diagnosis framework based on density-based clustering and artificial neural network regression using the integrated data to identify anomalous energy usages. The framework and the methods have been implemented and validated from data collected from a multitude of large-scale public buildings across China.

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Al-Makhadmee, Zafer. "Diagnosis System for Building Management Network." Research Journal of Applied Sciences, Engineering and Technology 6, no. 23 (December 15, 2013): 4451–54. http://dx.doi.org/10.19026/rjaset.6.3450.

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Lo, Tommy Y., and K. T. W. Choi. "Building defects diagnosis by infrared thermography." Structural Survey 22, no. 5 (December 2004): 259–63. http://dx.doi.org/10.1108/02630800410571571.

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Bernard, Rosanne St, and Cyrus C. Hsia. "Building bridges to diagnosis and malignancy." Blood 124, no. 11 (September 11, 2014): 1843. http://dx.doi.org/10.1182/blood-2014-06-581983.

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Wang, Yanwei, Hanyuan Zhang, Guiqing Zhang, Feng Tian, and Fei Ren. "Application of Improved Apriori Algorithm in Diagnosis of Abnormal Building Energy Consumption." E3S Web of Conferences 257 (2021): 02060. http://dx.doi.org/10.1051/e3sconf/202125702060.

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The analysis of building abnormal energy consumption is of great significance to the effective energy saving of buildings. To apply the relationship between the running status of building equipment and energy consumption to the diagnosis of abnormal energy consumption, an abnormal diagnosis method of building energy consumption based on the improved Apriori association rules is proposed. An improved Apriori algorithm is proposed for building energy consumption data with a large amount of data and multi-value attributes. The improved Apriori algorithm determines whether different attribute values of the same attribute data are in advance when generating candidate sets, reduces the number of comparisons, and improves the algorithm efficiency. By analyzing the abnormal energy consumption of the chiller in the refrigeration station of a commercial building, the superiority of the improved Apriori algorithm is proved, and the abnormal energy consumption is found, which verifies the feasibility and practicability of the proposed method.

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Balado, J., L. Díaz-Vilariño, P. Arias, and M. Soilán. "Automatic building accessibility diagnosis from point clouds." Automation in Construction 82 (October 2017): 103–11. http://dx.doi.org/10.1016/j.autcon.2017.06.026.

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Watts, Brook, Pushkar Argekar, Sanjay Saint, and Carol A. Kauffman. "Building a Diagnosis from the Ground Up." New England Journal of Medicine 356, no. 14 (April 5, 2007): 1456–62. http://dx.doi.org/10.1056/nejmcps055322.

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Pratiwi, S. N., P. Wijayanto, and C. A. Putri. "Diagnosis of capillary rise in heritage building." IOP Conference Series: Earth and Environmental Science 780, no. 1 (May 1, 2021): 012076. http://dx.doi.org/10.1088/1755-1315/780/1/012076.

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Zhou, Lu, Guang-geng Li, Yu-mei Zhou, Dan Yin, Yan Sun, Yan Zheng, and Yu-hang Li. "Traditional Chinese Medicine (TCM) Diagnosis Model Building Based on Multi-label Classification." MATEC Web of Conferences 232 (2018): 02026. http://dx.doi.org/10.1051/matecconf/201823202026.

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In the study, we propose a TCM diagnosis model that can be used for multi-label classification and give clear diagnosis, as well as the basis for diagnosis and differentiation when the symptoms correspond to multiple diseases or syndromes. The implementation of the model is divided into three steps. Firstly, choose the machine learning algorithm to train the TCM diagnosis model. The features of the training data are symptoms and the labels are diseases or syndromes. Secondly, give the number α (α>1, α∈Z+), the model will output the diagnoses with the top α highest probability according to the input symptoms as candidate diagnoses. Finally, the rules of differential diagnosis are designed to determine which candidate diagnoses should be reserved, thereby complete the multi-label classification. In our test dataset, by 10-fold cross-validation, the average accuracy of the single label classification was 0.882; the average precision was 0.974; the average recall was 1.000; the average f1 score was 0.967; the average accuracy of the multi-label classification was 0.706; the average micro precision was 0.934; the average micro recall was 0.941 and the average hamming loss was 0.060. Through the test we can know that this model had a good potential for auxiliary decision making in clinical diagnosis and treatment.

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Li, Xia, Qi Qiu, Yinghua Yang, Ling Sun, MinJun Jiang, chunling Gu, Ming Cui, and Xiang Lin. "BUILDING A CONTINUOUS DEMENTIA MANAGEMENT MODEL IN COMMUNITIES OF SHANGHAI." Innovation in Aging 3, Supplement_1 (November 2019): S444. http://dx.doi.org/10.1093/geroni/igz038.1665.

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Abstract Over 10 million people with Alzheimer’s disease or related dementias (ADRD) live in China. In Shanghai, the prevalence of ADRD is about 3-4% among aged 60 or older, and approximately 70-85% have never been diagnosed. This study reported the pilot testing results of a dementia management model launched by Shanghai Mental Health Center to build dementia friendly communities. The dementia management model links screening, diagnosis, care planning, treatment, and services, to improve dementia literacy and standard diagnosis rate. About 3,786 senior residents were screened using the AD 8 and MoCA scales. The cognitively intact group was suggested for annual check-up, while at -risk groups were referred to formal diagnosis and intervention. About 125 older adults with a mild cognitive impairment diagnosis were provided referrals for cognitive training, and 109 diagnosed with dementia were provided medical and social interventions. This management model adds to dementia awareness and education.

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Garyaev, N. A., and F. Ayoub. "Towards Building Information Modelling for diagnosis, assessment and rehabilitation automation for existing buildings." Journal of Physics: Conference Series 1425 (December 2019): 012121. http://dx.doi.org/10.1088/1742-6596/1425/1/012121.

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Trothe, Max Emil S., Hamid Reza Shaker, Muhyiddine Jradi, and Krzysztof Arendt. "Fault Isolability Analysis and Optimal Sensor Placement for Fault Diagnosis in Smart Buildings." Energies 12, no. 9 (April 26, 2019): 1601. http://dx.doi.org/10.3390/en12091601.

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Faults and anomalies in buildings are among the main causes of building energy waste and occupant discomfort. An effective automatic fault detection and diagnosis (FDD) process in buildings can therefore save a significant amount of energy and improve the comfort level. Fault diagnosability analysis and an optimal FDD-oriented sensor placement are prerequisites for effective, efficient and successful diagnostics. This paper addresses the problem of fault diagnosability for smart buildings. The method used in the paper is a model-based technique which uses Dulmage-Mendelsohn decomposition. To the best of our knowledge, this is the first time that this method is used for applications in smart buildings. First a dynamic model for a zone in a real-case building is developed in which faults are also introduced. Then fault diagnosability is investigated by analyzing the fault isolability of the model. Based on the investigation, it was concluded that not all the faults in the model are diagnosable. Then an approach for placing new sensors is implemented. It is observed that for two test scenarios, placing additional sensors in the model leads to full diagnosability. Since sensors placement is key for an effective FDD process, the optimal placement of such sensors is also studied in this work. A case study of campus building OU44 at the University of Southern Denmark is considered. The results show that as the system gets more complicated by introducing more faults, additional sensors should be added to achieve full diagnosability.

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Mulero-Palencia, Sofía, Sonia Álvarez-Díaz, and Manuel Andrés-Chicote. "Machine Learning for the Improvement of Deep Renovation Building Projects Using As-Built BIM Models." Sustainability 13, no. 12 (June 9, 2021): 6576. http://dx.doi.org/10.3390/su13126576.

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In recent years, new technologies, such as Artificial Intelligence, are emerging to improve decision making based on learning. Their use applied to the Architectural, Engineering and Construction (AEC) sector, together with the increased use of Building Information Modeling (BIM) methodology in all phases of a building’s life cycle, is opening up a wide range of opportunities in the sector. At the same time, the need to reduce CO2 emissions in cities is focusing on the energy renovation of existing buildings, thus tackling one of the main causes of these emissions. This paper shows the potentials, constraints and viable solutions of the use of Machine Learning/Artificial Intelligence approaches at the design stage of deep renovation building projects using As-Built BIM models as input to improve the decision-making process towards the uptake of energy efficiency measures. First, existing databases on buildings pathologies have been studied. Second, a Machine Learning based algorithm has been designed as a prototype diagnosis tool. It determines the critical areas to be solved through deep renovation projects by analysing BIM data according to the Industry Foundation Classes (IFC4) standard and proposing the most convenient renovation alternative (based on a catalogue of Energy Conservation Measures). Finally, the proposed diagnosis tool has been applied to a reference test building for different locations. The comparison shows how significant differences appear in the results depending on the situation of the building and the regulatory requirements to which it must be subjected.

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Wang, Xiang Ning, Qing Lin, and Jing Chen. "Application of Artificial Intelligence in Intelligent Buildings." Applied Mechanics and Materials 347-350 (August 2013): 466–70. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.466.

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This paper introduced concept of artificial intelligence and intelligent building at first. Then analyzed the necessity of using AI in the intelligent buildings. At last introduced some typical application of AI in intelligent building such as delightful interior light-environments control system, air conditioning load calculate system and air conditioning control system and fault diagnosis expert system for building intelligent system.

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Cho, Young S., and Han Seung Lee. "A Study on the Diagnosis Method of Concrete Structures of School Buildings Using Non-Destructive Tests Based on Stress Waves." Key Engineering Materials 321-323 (October 2006): 400–403. http://dx.doi.org/10.4028/www.scientific.net/kem.321-323.400.

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As most of the elementary, junior high, and high school buildings nationwide have been deteriorated since the quantitative increase of the buildings from 1985, many experts present the issues on the possibility of the structural instability of the building as well as the increase of the cost for maintenance of the building. So, it is necessary to examine the necessary structural information of the school buildings during the course of maintaining education facilities, and it is also necessary to establish some credible accessing procedures on the deteriorating school facilities so that the building structural engineers can propose the necessary standards for the proper maintenance and repairing works. To achieve the necessity, researches have been conducted to find out the ways of diagnosing the compressive strength and the durability of the concrete structures by measuring the compression wave velocity of concrete structures and the flaw detection inside the concrete specimens using the impact echo method, a non-destructive test to simulate the structures of school buildings. In this research, it was found that the impact echo method has great potentials in the application of the building structure maintenance and the repairing activities based on the accurate understanding of the existing school facilities that are being deteriorated. More over, school facilities has sometimes no structural design drawings available which NDT methods can contribute to detect the internal structural damages of existing building structures.

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Li, Kangji, Wenping Xue, Gang Tan, and Anthony S. Denzer. "A state of the art review on the prediction of building energy consumption using data-driven technique and evolutionary algorithms." Building Services Engineering Research and Technology 41, no. 1 (May 3, 2019): 108–27. http://dx.doi.org/10.1177/0143624419843647.

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Energy consumption forecasting for buildings plays a significant role in building energy management, conservation and fault diagnosis. Owing to the ease of use and adaptability of optimal solution seeking, data-driven techniques have proved to be accurate and efficient tools in recent years. This study provides a comprehensive review on the existing data-driven approaches for building energy forecasting, such as regression models, artificial neural networks, support vector machines, fuzzy models, grey models, etc. On this basis, the paper puts emphasis to the discussion on evolutionary algorithms hybridized models that combine evolutionary algorithms with regular data-driven models to improve prediction accuracy and robustness. Various combinations of such hybrid models are classified and their characteristics are analyzed. Finally, a detailed discussion on the advantages and challenges of current predictive models is provided. Practical Application: Building energy consumption prediction is important for building energy management, efficiency and fault diagnosis. For existing buildings, multisourced, heterogeneous or inadequate data-driven models may lead to convergence problem or poor model accuracy. To this end, a state of art review on building energy forecasting technique is helpful for related professionals in the building industry.

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Carretero-Ayuso, Manuel J., Alberto Moreno-Cansado, and Justo García-Sanz-Calcedo. "Diagnosis of functioning incidences from judicial claims in building installations in Spain." Journal of Building Physics 42, no. 4 (May 22, 2018): 545–67. http://dx.doi.org/10.1177/1744259118774818.

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Building facilities are an important part of construction, given that they interact with the rest of the building and may generate complaints from and dissatisfaction among the users, with subsequent litigation in courts. Expert reports used during judicial processes resulting from user complaints constitute an original source of knowledge on incidences in facilities. This article analyses the anomalies detected in 15 different types of installations from a total of 496 buildings under study, in which judicial claims were filed between 2008 and 2010, in Spain. In total, 854 incidences were found. The material damages and causes and consequences were analysed. These incidences were categorised qualitatively and quantitatively, and the most recurrent situations were studied. Through statistical analysis, the building typology, climate and location with the greatest likelihood of manifesting problems in each facility were determined, as well as the complaint risk factor per facility. It was also detected that most of the incidences (41.34%) were caused by lack of water-tightness in the facilities. With this information, technicians will be able to detect the most conflicting points and reduce failures in the execution of their projects, thus improving building construction quality.

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Tiwari, Nitin. "A Review�Crack Diagnosis for Stone Masonry Building." International Journal for Research in Applied Science and Engineering Technology 6, no. 11 (November 30, 2018): 322–24. http://dx.doi.org/10.22214/ijraset.2018.11052.

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Tan, C. N., C. F. Tan, and M. A. Abdullah. "A Fault Diagnosis Expert System for Building Chillers." International Review of Mechanical Engineering (IREME) 11, no. 4 (April 30, 2017): 270. http://dx.doi.org/10.15866/ireme.v11i4.11365.

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Preda, A., and I. C. Scurtu. "Thermal image building inspection for heat loss diagnosis." Journal of Physics: Conference Series 1297 (September 2019): 012004. http://dx.doi.org/10.1088/1742-6596/1297/1/012004.

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Chang, Chih-Yuan, and Ming-Da Tsai. "Knowledge-based navigation system for building health diagnosis." Advanced Engineering Informatics 27, no. 2 (April 2013): 246–60. http://dx.doi.org/10.1016/j.aei.2012.12.003.

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Xinhua Xu and Wang Shengwei. "A mixed-mode building energy model for performance evaluation and diagnosis of existing buildings." Building Services Engineering Research and Technology 29, no. 1 (February 2008): 73–83. http://dx.doi.org/10.1177/0143624407087788.

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Wang, Huilong, Peng Xu, Xing Lu, and Dengkuo Yuan. "Methodology of comprehensive building energy performance diagnosis for large commercial buildings at multiple levels." Applied Energy 169 (May 2016): 14–27. http://dx.doi.org/10.1016/j.apenergy.2016.01.054.

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Galvan, Pedro, Ronald Rivas, Benicio Grossling, Juan Portillo, Julio Mazzoleni, and Enrique Hilario. "VP28 Building A Virtual Diagnosis Network Through A Telemedicine Platform." International Journal of Technology Assessment in Health Care 35, S1 (2019): 82–83. http://dx.doi.org/10.1017/s0266462319003027.

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IntroductionAdvances in information and communication technology (ICT) and health technology have enhanced healthcare for many countries around the world. The challenge for low income setting countries is to build a telemedicine platform to enhance the community hospital diagnosis response capacity. Populations living in remote areas did not have access to specialist care and quality diagnostic services and thus depended on the low response capacity of their local health system. There were subsequent equity issues between urban and rural populations. In this context the virtual telediagnosis network should be directed towards developing better equity in the provision of services in remote locations without access to specialists. The usability of a telemedicine platform to enhance the virtual diagnosis network of community hospitals in rural areas of Paraguay was investigated.MethodsThis descriptive study was carried out by the Telemedicine Unit of the Ministry of Public Health and Social Welfare (MSPBS) in collaboration with the Department of Biomedical Engineering and Imaging of the Health Science Research Institute (IICS-UNA) and the University of the Basque Country (UPV / EHU) to evaluate the utility of a telemedicine platform to enhance the virtual diagnosis network of community hospitals. For this purpose, the results obtained by the virtual telediagnosis network implemented in sixty public countryside community hospitals were analyzed.ResultsA total of 427,026 remote diagnoses were performed between January 2014 and October 2018 in sixty community hospitals. Of the total, 35.76 percent (152,703) corresponded to tomography studies, 62.55 percent (267,100) to electrocardiography (EKG), 1.68 percent (7,204) to electroencephalography (EEG) and 0.01 percent (19) to ultrasound. There were no significant differences between the remote and the face-to-face diagnosis. With the remote diagnosis a reduction of the cost was obtained, that supposes an important benefit for each citizen of the sixty communities.ConclusionsThe results show that the virtual diagnosis network based on a telemedicine platform can enhance significantly the community hospital diagnostic services, maximizing professional time and productivity, increasing access and equity, and reducing costs. However, before carrying out its countrywide implementation, a contextualization with the regional epidemiological profile must be performed.

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Nowogońska, Beata. "Performance Characteristics of Buildings in the Assessment of Revitalization Needs." Civil and Environmental Engineering Reports 29, no. 1 (March 1, 2019): 119–27. http://dx.doi.org/10.2478/ceer-2019-0009.

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Abstract Performance characteristics are an indicator of both, the technical as well as aesthetic state of buildings. Aesthetic needs are in disagreement with the merciless aging process. The beauty of a city is formed not only by the original forms of new residential buildings, but also by existing tenement housing; thus preserving their aesthetics becomes a necessity. One of the most important problems connected with using any building, but especially a residential building, is ensuring an adequate technical condition. Process of revitalization of residential buildings is connected with familiarity with the technical problems of passing. However, the secret of lasting is found, above all, in the propagation of aesthetics. The diagnosis of the technical condition is an initial stage of renovating historical buildings. Conclusions drawn from the diagnosis are a basis for planning revitalization works.

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Tabet Aoul, Kheira Anissa, Rahma Hagi, Rahma Abdelghani, Monaya Syam, and Boshra Akhozheya. "Building Envelope Thermal Defects in Existing and Under-Construction Housing in the UAE; Infrared Thermography Diagnosis and Qualitative Impacts Analysis." Sustainability 13, no. 4 (February 19, 2021): 2230. http://dx.doi.org/10.3390/su13042230.

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The built environment accounts for the highest share of energy use and carbon emissions, particularly in emerging economies, caused by population growth and fast urbanization. This phenomenon is further exacerbated under extreme climatic conditions such as those of the United Arab Emirates, the context of this study, where the highest energy share is consumed in buildings, mostly used in the residential sector for cooling purposes. Despite efforts to curb energy consumption through building energy efficiency measures in new construction, substantial existing building stock and construction quality are left out. Construction defects, particularly in the building envelope, are recognized to affect its thermal integrity. This paper aims, first, to detect through thermography field investigation audit construction defects bearing thermal impacts in existing and under-construction residential buildings. Then, through a qualitative analysis, we identify the resulting energy, cost, and health impacts of the identified defects. Results indicate that lack or discontinuity of insulation, thermal bridging through building elements, blockwork defects, and design change discrepancies are the recurrent building and construction defects. The qualitative review analysis indicates substantial energy loss due to lack of insulation, thermal bridging with cost and health implications, while beneficial mitigation measures include consideration of building envelope retrofitting, skilled workmanship, and the call for quality management procedures during construction.

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Kowalska-Koczwara, Alicja, and Filip Pachla. "Transmission of transport vibrations from the ground to the building - case study." MATEC Web of Conferences 313 (2020): 00018. http://dx.doi.org/10.1051/matecconf/202031300018.

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Transport vibrations are transmitted from the ground the foundations and building walls to the building and received by its construction and by people in the buildings. During the vibration of buildings, inertia forces generate an additional (apart from the static one) loading of the structure. In the diagnosis and design of buildings, these forces are taken into account by analyzing the requirements for stiffness and strength of the building structure. Exceedance of these requirements may lead to accelerated wear and even structural damages of the building. In this paper a simple relationship between ground and building vibration was made. The building chosen for analysis is light-weight wooden building located close to Cracow near Zakopianka road. What is worth noting that building is so called passive building. The excitation which was simulated on the dynamical polygon was car (bus) and truck lorry passages. The sensors were accelerations in three orthogonal directions, one sensor was placed about 2.5 m far from the building and the second on the foundation wall. The different types of excitation were compared and the conclusion from the analysis was made.

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Ismail, Zul-Atfi. "Lesson learned in maintaining the precast concrete buildings." Journal of Facilities Management 18, no. 3 (July 27, 2020): 341–59. http://dx.doi.org/10.1108/jfm-04-2020-0029.

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Purpose The purpose of this study is to identify existing weaknesses in precast concrete building maintenance and how to overcome it. The contemporary practice of conventional methods in the pre-cast concrete (PC) building maintenance entails many issues such as PC component aesthetic and structural defects, no integration between maintenance systems and lack the intelligent capabilities of linking defect diagnosis operations in maintenance due to poor service delivery and defect repetition. A key problem impeding the widespread adoption of emerging technologies is the lack of competent contractor supporting the effectiveness of implemented information and communication technology than conventional methods and the returns on investment. Design/methodology/approach The shortcomings of conventional methods are assessed from the perspective of PC buildings. Several data were collected through a case study of eight PC buildings from high-rise and complex buildings. Findings The conventional methods had significantly little emphasis on defect diagnosis tools. It had also increased the inadequate strategic decision making to analyse information in improving the maintenance project outcomes for PC building. Originality/value Building information modelling tools is suggested from findings and lessons learned as a good practice to reduce the repetition of defects on the design specification used and construction practiced.

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Zogou, Olympia, and Tassos Stamatelos. "Diagnosis and Reduction of Electricity Consumption Exceedance in Public University Buildings." Open Fuels & Energy Science Journal 7, no. 1 (May 30, 2014): 34–46. http://dx.doi.org/10.2174/1876973x01407010034.

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Higher education costs per graduating student are globally increasing to unsustainable levels, taking into account the worldwide economy problems. Electricity consumption is an essential part of university building operation costs. Thus, many universities struggle to reduce them. To succeed in the reduction of electricity consumption in public buildings, it is essential to detect, identify and classify different kinds of consumption exceedance modes in the electricity consumption time series as early as possible. Intelligent diagnosis and prognosis has already become an important field of interest in engineering. This paper presents a diagnosis methodology that we developed and applied in the University of Thessaly, aiming to find cases of unnecessary high consumption. The methodology is based on the analysis of hourly electricity consumption data from seven university building complexes with separate medium voltage substations. The follow-up measures adopted are also presented, along with the overall effect on the evolution of electricity consumption.

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Ryńska, Elżbieta D., and Maria L. Lewicka. "Closed circulation loops in historic buildings. Cultural diagnosis as one of the major factors in a contemporary designer’s workshop." Urban Development Issues 61, no. 1 (April 12, 2019): 41–50. http://dx.doi.org/10.2478/udi-2019-0004.

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Abstract Sustainable development has now become an element that is deeply integrated in contemporary architectonic design and urban planning. With the development of a modern designer’s workshop, resilience, passive, ecological, plus energy or nZEB buildings and various smart city issues have to be included in line with more conventional analyses prepared during the design processes. Currently, we also face the emerging theme of the circular economy. This has a great impact, not just on the introduction of circular loops into the flow of building materials, but also on the design approach and management choices. Historic heritage buildings forming part of the building stock must be considered within this new theme. Most existing research deals either with new or modernised buildings, or with the re-use flows of various materials, actually often coming from historic buildings which have passed beyond the limits of repair. This paper shows a different approach to historic buildings where a design was prepared focusing on best choice cases and included a chain of several intertwining approaches, presented against the background of a Polish case study in Warsaw. The aim of this work is to propose a design management procedure to be used when dealing with historic buildings. It follows both the path of a circular economy and of heritage values, emphasising the need to maintain as much of the existing fabric as possible. This analysis is also based on various issues of site research and is followed by historic building case analysis.

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Shen, Chenyao, Kang Zhao, and Jian Ge. "An Overview of the Green Building Performance Database." Journal of Engineering 2020 (January 21, 2020): 1–9. http://dx.doi.org/10.1155/2020/3780595.

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Research on how the database method can assist building performance diagnosis has become an important direction of current green building studies. Many research institutions have paid great attention to the building performance database, adopting new technologies to integrate indoor environmental quality and occupant satisfaction with building energy consumption data. This paper introduces and summarizes the data types, collection methods, and applications of current building performance databases, including those in the United States, the European Union, Japan, and Australia, as well as China. In view of the current problems of limited coverage, poor quality, and ineffective application of green buildings in China, this paper proposes a three-dimensional framework for green building performance databases. The collection and optimization methods of green building performance data are also discussed.

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Park, Minsoo, Donghwan Lee, Gichun Cha, Junghyun Im, and Seunghee Park. "Development of Building Diagnosis 3D Visualization Solution for Disaster." Journal of the Korean Society of Hazard Mitigation 18, no. 2 (February 28, 2018): 127–32. http://dx.doi.org/10.9798/kosham.2018.18.2.127.

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Piris, Miguel A. "Peripheral T-cell lymphoma diagnosis: building a molecular tool." Haematologica 105, no. 6 (June 2020): 1472–74. http://dx.doi.org/10.3324/haematol.2020.249052.

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Isobata, Osamu, and Yasuo Inada. "Practical Method of Structural Diagnosis of Reinforced Concrete Building." Concrete Journal 30, no. 4 (1992): 5–12. http://dx.doi.org/10.3151/coj1975.30.4_5.

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Raposo, Patrícia C., Michael Andrade, José A. F. O. Correia, Maria E. Salavessa, Cristina Reis, Carlos Oliveira, and Abílio de Jesus. "Non-Destructive Structural Wood Diagnosis of a Medieval Building." Procedia Structural Integrity 5 (2017): 1147–52. http://dx.doi.org/10.1016/j.prostr.2017.07.024.

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Kusrini. "Differential Diagnosis Knowledge Building by Using CUC-C4.5 Framework." Journal of Computer Science 6, no. 2 (February 1, 2010): 180–85. http://dx.doi.org/10.3844/jcssp.2010.180.185.

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Guo, Sy-Jye. "Advanced Deterioration Diagnosis Model for Building External Wall Tiles." World Journal of Engineering and Technology 06, no. 02 (2018): 1–12. http://dx.doi.org/10.4236/wjet.2018.62b001.

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True, G. "Building failures: A guide to diagnosis, remedy and prevention." Construction and Building Materials 7, no. 2 (January 1993): 125. http://dx.doi.org/10.1016/0950-0618(93)90043-c.

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Azil, C., B. Djebri, and L. Rovero. "DIAGNOSIS PROCESSES FOR DESERT ROSE DOMES OF THE SOUF REGION IN ALGERIA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W11 (May 4, 2019): 115–19. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w11-115-2019.

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Abstract. In the Souf region of Algeria, all vernacular buildings are covered by domes, built with an unusual building material, the desert rose stone, peculiar to the region. These domes represent an element of identity of the region and describe a unique urban landscape that deserves to be protected and enhanced. Unfortunately, these architectural elements have suffered damage that devalues the urban landscape compromising their conservation. In particular, many domes have severe cracks and have collapsed in large areas.Diagnostic investigations were carried out with the aim to understand the causes of the damages and to carry out guidelines for consolidation.In particular, in situ surveys have allowed to analyze the employed construction technique, the collection of samples for the chemical-physical and mechanical investigations of the materials and a manual geometric survey of a typical building module. In addition, a Finite Element Model of a building module was realized with the aim of investigating structural behavior.Considerations were made on the influence of the dome shape on structural behaviour and on the fractures pattern detected in many domes.

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Lin, Rui Lin, and Bo Yun Liu. "Simulation for Building Fault Swatches for Reciprocating Compressor." Advanced Materials Research 121-122 (June 2010): 243–48. http://dx.doi.org/10.4028/www.scientific.net/amr.121-122.243.

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In the progress of fault diagnosis, the most difficult problem is how to build up the fault swatchs for diagnosis for the fault of reciprocating compressor. As for the working progress mathematic model of reciprocating compressor, some familiar faults are simulated in this paper. The method of building fault swatches of the Z-0.03/7 compressor is studied and tested. Using the fault swatches, the fault diagnosis of compressor has been carried on.

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Santos, Michael M., João C. G. Lanzinha, and Ana Vaz Ferreira. "Proposal of Methodology for Evaluation of a Vertical Shanty Building in Beira, Mozambique." CivilEng 2, no. 1 (January 5, 2021): 35–47. http://dx.doi.org/10.3390/civileng2010003.

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Emerging economies are in an almost winless situation: they would benefit from improving the extremely poor economic situation, making them self-reliant and economically productive. However, the poor fight for daily survival and, therefore, cannot afford to improve themselves. This article describes the state of the “Grande Hotel” in the city of Beira, Mozambique, built-in Portuguese colonial times, a real vertical shanty building that is occupied by approximately 1000 inhabitants trapped in poverty. To carry out any constructive intervention in a building or an urban complex, it is necessary to carry out a rehabilitation project that is developed based on a diagnosis of the building understudy, its main deteriorations, the causes, mechanisms of action, evolution, and possible treatments to be used for its repair. Analysis methods are necessary for the conservation of buildings since trying to stop, or correct buildings’ deterioration without a diagnosis of their problems or a prognosis on their evolution is a risky procedure with a high percentage of failure chances. The use of an appropriate methodology for diagnosing the damage present in the “Grande Hotel” and its prediction of evolution and development should directly impact a better quality of rehabilitation projects in the neighborhood where the building is located.

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González-Galvez, Oscar, Miguel Morales, Carla Seefoó, David Morillón, and Hugo Valdés. "Energy Diagnosis of University Buildings: Renewable Energy Institute from UNAM." Buildings 8, no. 10 (September 27, 2018): 136. http://dx.doi.org/10.3390/buildings8100136.

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The purpose of this study has been to conduct an energy diagnosis research of the third level. An energy diagnosis is a tool aimed to seek improvements related to measures of energy efficiency and saving, and environmental conservation as well. These improvements would prove to be relevant for any kind of building. The diagnosis was carried out in 36 university buildings (Renewable Energy Institute—REI) through survey and census; that in order (to identify and) to characterize current patterns of energy consumption and demand, as well as for generating specific strategies towards energy efficiency and saving, for instance the identification of systemic indicators and corrective proposals, and non-financial investment. The results promote the achievement of grand energy efficiency. The task on energy conservation entails the supporting participation of each person who either studies or works in the entity, whereas some other activities require economic stimulus for being implemented. Annual per capita energy consumption in the REI is 40 kWh/person: that is greater than the country’s average consumption rate. The main energy consumption corresponds to Building 3.1 (49% of total energy consumption). This is due to its large concentration of laboratories specialized in renewable energy research and innovation.

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Singh, Mahendra, Nguyen Trung Kien, Houda Najeh, Stéphane Ploix, and Antoine Caucheteux. "Advancing Building Fault Diagnosis Using the Concept of Contextual and Heterogeneous Test." Energies 12, no. 13 (June 29, 2019): 2510. http://dx.doi.org/10.3390/en12132510.

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Fault diagnosis and maintenance of a whole-building system is a complex task to perform. A wide range of available building fault detection and diagnosis (FDD) tools are only capable of performing fault detection using behavioral constraints analysis. However, the validity of the detected symptom is always questionable. In this work, we introduce the concept of the contextual test with validity constraints, in the context of building fault diagnostics. Thanks to a common formalization of the proposed heterogeneous tests, rule-, range-, and model-based tests can be combined in the same diagnostic analysis that reduces the whole-building modeling effort. The proposed methodology comprises the minimum diagnostic explanation feature that can significantly improve the knowledge of the building facility manager. A bridge diagnosis approach is used to describe the multiple fault scenarios. The proposed methodology is validated on an experimental building called the center for studies and design of prototypes (CECP) building located in Angers, France.

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Stawiski, Bohdan, and Tomasz Kania. "Building diagnostics versus effectiveness of repairs." MATEC Web of Conferences 174 (2018): 03005. http://dx.doi.org/10.1051/matecconf/201817403005.

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Building diagnostics before renovation is an important stage in the process of designing and making future repairs and modernization of buildings. Performed hastily, without careful analysis, it may be the cause of wrong decisions about the method of repair. The experience of the person performing the tests usually has an impact on the identification of existing hazards. The article presents an example of the effects of cursory execution of diagnostics on a multi-family residential building. The building was inspected, as it turned out later not precisely, and the causes of damage were wrongly identified. As a result of a cursory diagnosis, works were designed and carried out, which instead of eliminating structural defects have increased them. The causes of errors have been found at the stage of identifying failure, recommendations and repair of a cavity curtain wall. In the summary it was emphasized, that expert experience gained on many examples of differently damaged buildings, under the supervision of a person with experience is necessary for theoretical knowledge to be verified, and the reports were prepared without any faults.

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Balado, J., L. Díaz-Vilariño, P. Arias, and I. Garrido. "POINT CLOUDS TO INDOOR/OUTDOOR ACCESSIBILITY DIAGNOSIS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W4 (September 13, 2017): 287–93. http://dx.doi.org/10.5194/isprs-annals-iv-2-w4-287-2017.

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This work presents an approach to automatically detect structural floor elements such as steps or ramps in the immediate environment of buildings, elements that may affect the accessibility to buildings. The methodology is based on Mobile Laser Scanner (MLS) point cloud and trajectory information. First, the street is segmented in stretches along the trajectory of the MLS to work in regular spaces. Next, the lower region of each stretch (the ground zone) is selected as the ROI and normal, curvature and tilt are calculated for each point. With this information, points in the ROI are classified in horizontal, inclined or vertical. Points are refined and grouped in structural elements using raster process and connected components in different phases for each type of previously classified points. At last, the trajectory data is used to distinguish between road and sidewalks. Adjacency information is used to classify structural elements in steps, ramps, curbs and curb-ramps. The methodology is tested in a real case study, consisting of 100&thinsp;m of an urban street. Ground elements are correctly classified in an acceptable computation time. Steps and ramps also are exported to GIS software to enrich building models from Open Street Map with information about accessible/inaccessible entrances and their locations.

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Kurth, Helmut, Karl Heinz Winter, and Vaclav Pospíchal. "Building Condition Record and Cost Estimation." Applied Mechanics and Materials 796 (October 2015): 137–43. http://dx.doi.org/10.4028/www.scientific.net/amm.796.137.

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Many planners and clients (prospective building owners) are not sufficiently prepared for the building renovation. This reorientation calls for new means of help and abilities. A special importance belongs in this respect to the rating of the existing building substance (building stock). A sufficient reason to develop a new method for this purpose deliberately. The Rough Diagnosis of the building provides the picture of the building condition and of the costs for the repair of defects. The division of the building into Rough Diagnosis Elements improves the overview of the building condition and suggestions for measures. These measures can be compared in a transparent manner and related to individual stages. These pieces of knowledge facilitate the clear guidelines for project elaboration and costs, cut out according to needs and possibilities of the customer.

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Trinh, Viet Quoc, Duong Minh Pham, and Mai Thi Truc Pham. "APPLICATION NAIVE ¨ BAYES THEORY TO BUILDING BRONCHITIS DIAGNOSIS SUPPORT SYSTEM." Scientific Journal of Tra Vinh University 1, no. 1 (June 13, 2019): 61–66. http://dx.doi.org/10.35382/18594816.1.1.2019.89.

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The Bayesian classifier algorithm is applied in the highest probability cases to classify objects. In the paper, this algorithm is used to assist non-specialist doctors, inexperienced doctors, or in the absence of doctors in taking the examination and treatment of bronchitis quickly, timely and accurately. The inference system and the rule set were collected from experts’ knowledge, who have many years of experience in studying the bronchitis, to provide diagnostic results. All the knowledge collected from the patients’ medical records and the experts’ opinions (the Respiratory physicians) are completely accurate and reliable. The subject has also found a solution for the computerization of the problems in diagnosing diseases in reality, this facilitates the medical examination and treatment, and also helps to protect as well as to improve the health and the life quality of the community.

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MARUYAMA, Yoshio. "Application of Fuzzy Logic and Fuzzy Diagnosis to Building Construction." Journal of Japan Society for Fuzzy Theory and Systems 9, no. 2 (1997): 156–61. http://dx.doi.org/10.3156/jfuzzy.9.2_156.

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Wu, Siyu, and Jian-Qiao Sun. "Cross-level fault detection and diagnosis of building HVAC systems." Building and Environment 46, no. 8 (August 2011): 1558–66. http://dx.doi.org/10.1016/j.buildenv.2011.01.017.

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Journal articles on the topic 'Diagnosis of the building'

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