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...

Full description

Bibliographic Details
Main Authors: Si-Qi Li, Hong-Bo Liu
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2022.2077146
_version_ 1818204480389251072
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.
first_indexed 2024-12-12T03:41:54Z
format Article
id doaj.art-a2b2149e3f8e482b84ddd6f8cfbfa6d4
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
record_format Article
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