Analysis of probability matrix model for seismic damage vulnerability of highway bridges
The present study was aimed at assessing more accurately the seismic vulnerability and performance of highway bridges in an earthquake-damaged area. Based on mathematical statistics (data collection) and a probability model, (i) survey data for 2134 bridges in 22 highway sections (47 sub-sections) a...
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2022-12-01
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Series: | Geomatics, Natural Hazards & Risk |
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Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2022.2077146 |
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author | Si-Qi Li Hong-Bo Liu |
author_facet | Si-Qi Li Hong-Bo Liu |
author_sort | Si-Qi Li |
collection | DOAJ |
description | The present study was aimed at assessing more accurately the seismic vulnerability and performance of highway bridges in an earthquake-damaged area. Based on mathematical statistics (data collection) and a probability model, (i) survey data for 2134 bridges in 22 highway sections (47 sub-sections) affected by the Wenchuan earthquake on May 12, 2008 were obtained and analysed, (ii) Gaussian and exponential regression models were developed, (iii) the empirical seismic-damage vulnerability function, plane, surface and curve model of the 22 highway sections with sample number and failure ratio were established, and (iv) a regression parameter matrix was constructed considering the empirical seismic-damage data. Using the method of probability exceedance, the bridge vulnerability curve models considering the seismic-damage exceedance probability of each section were analysed, and a parameter matrix model (mean seismic-damage index) was proposed to evaluate and predict the seismic vulnerability of regional bridges. Based on creating the actual seismic-damage sample database, vulnerability point-cloud models of the 22 highway bridges were constructed, and the vulnerability probability matrix, function, curve and point-cloud model of each highway section can be used to evaluate and estimate the vulnerability of regional bridges in the future. |
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institution | Directory Open Access Journal |
issn | 1947-5705 1947-5713 |
language | English |
last_indexed | 2024-12-12T03:41:54Z |
publishDate | 2022-12-01 |
publisher | Taylor & Francis Group |
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series | Geomatics, Natural Hazards & Risk |
spelling | doaj.art-a2b2149e3f8e482b84ddd6f8cfbfa6d42022-12-22T00:39:39ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132022-12-011311395142110.1080/19475705.2022.2077146Analysis of probability matrix model for seismic damage vulnerability of highway bridgesSi-Qi Li0Hong-Bo Liu1School of Civil Engineering, Heilongjiang University, Harbin City, ChinaSchool of Civil Engineering, Heilongjiang University, Harbin City, ChinaThe present study was aimed at assessing more accurately the seismic vulnerability and performance of highway bridges in an earthquake-damaged area. Based on mathematical statistics (data collection) and a probability model, (i) survey data for 2134 bridges in 22 highway sections (47 sub-sections) affected by the Wenchuan earthquake on May 12, 2008 were obtained and analysed, (ii) Gaussian and exponential regression models were developed, (iii) the empirical seismic-damage vulnerability function, plane, surface and curve model of the 22 highway sections with sample number and failure ratio were established, and (iv) a regression parameter matrix was constructed considering the empirical seismic-damage data. Using the method of probability exceedance, the bridge vulnerability curve models considering the seismic-damage exceedance probability of each section were analysed, and a parameter matrix model (mean seismic-damage index) was proposed to evaluate and predict the seismic vulnerability of regional bridges. Based on creating the actual seismic-damage sample database, vulnerability point-cloud models of the 22 highway bridges were constructed, and the vulnerability probability matrix, function, curve and point-cloud model of each highway section can be used to evaluate and estimate the vulnerability of regional bridges in the future.https://www.tandfonline.com/doi/10.1080/19475705.2022.2077146Highway bridgeempirical vulnerability analysisprobability matrixsample numberfailure ratiodamage exceedance probability |
spellingShingle | Si-Qi Li Hong-Bo Liu Analysis of probability matrix model for seismic damage vulnerability of highway bridges Geomatics, Natural Hazards & Risk Highway bridge empirical vulnerability analysis probability matrix sample number failure ratio damage exceedance probability |
title | Analysis of probability matrix model for seismic damage vulnerability of highway bridges |
title_full | Analysis of probability matrix model for seismic damage vulnerability of highway bridges |
title_fullStr | Analysis of probability matrix model for seismic damage vulnerability of highway bridges |
title_full_unstemmed | Analysis of probability matrix model for seismic damage vulnerability of highway bridges |
title_short | Analysis of probability matrix model for seismic damage vulnerability of highway bridges |
title_sort | analysis of probability matrix model for seismic damage vulnerability of highway bridges |
topic | Highway bridge empirical vulnerability analysis probability matrix sample number failure ratio damage exceedance probability |
url | https://www.tandfonline.com/doi/10.1080/19475705.2022.2077146 |
work_keys_str_mv | AT siqili analysisofprobabilitymatrixmodelforseismicdamagevulnerabilityofhighwaybridges AT hongboliu analysisofprobabilitymatrixmodelforseismicdamagevulnerabilityofhighwaybridges |