Analysis of probability matrix model for seismic damage vulnerability of highway bridges. Issue 1 (31st December 2022)

• Record Type: Journal Article
• Authors: Li, Si-Qi; Liu, Hong-Bo
• Is Part Of: Geomatics, natural hazards & risk. Volume 13:Issue 1(2022)
• Page Start: 1395
• Page End: 1421
• Publication Date: 2022-12-31
• Subjects: Highway bridge -- empirical vulnerability analysis -- probability matrix -- sample number -- failure ratio -- damage exceedance probability; Geomatics -- Periodicals; Geomatics; Periodicals; 526.905
• DOI: 10.1080/19475705.2022.2077146
• Languages: English
• ISSNs: 1947-5705

Abstract

Abstract: 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.