Use of monitoring extreme strain data for failure probability analysis of concrete bridge girder: An optimal vine Gaussian-copula model

Abstract

In this article, a new analysis method for the failure probability of bridge girder is presented. Firstly, considering the correlation among multiple monitored variables, the optimal regular vine model is established based on the monitored extreme strain data; secondly, the optimal regular vine model about the multiple performance functions corresponding to the failure modes of the multiple monitored points, is given, further, through combining the proposed optimal regular vine model with bivariate Gaussian copula model and first order second moment method, the bridge girder failure probability considering the correlation of the performance functions, is analyzed; finally, the monitored extreme strain data of an existing bridge is provided to illustrate the feasibility and application of the proposed model and method.