BRIDGE RELIABILITY ANALYSIS CONSIDERING NON-STATIONARY DEGRADATION OF RESISTANCE AND LOAD DEPENDENCY

被引:0
|
作者
Jin C.-H. [1 ]
Qian Y.-J. [1 ]
Xu W.-X. [1 ]
Li J. [2 ]
机构
[1] School of Civil Engineering, Southwest Jiaotong University, Sichuan, Chengdu
[2] Shudao Investment Group Co., Ltd., Sichuan, Chengdu
来源
关键词
bridge structure; Gamma process; load dependency; resistance degradation; time dependent reliability;
D O I
10.6052/j.issn.1000-4750.2022.04.0283
中图分类号
学科分类号
摘要
The bridge structure is subjected to environmental erosion and increasing correlated load impacts during its service life. These factors cause bridge resistance deterioration and make its safety performance less optimistic. To accurately evaluate bridge safety performance in its remaining service life, it is essential to consider the non-stationary characteristics of structural resistance degradation and the time correlativity of load effects. Under the framework of time-dependent reliability, a reliability equation based on Bayesian theory is proposed by using Gamma distribution to describe the non-stationary degradation of bridge resistance while adopting two-dimensional joint distribution function of adjacent loads to express their time correlativity. Monte Carlo simulation is then used to verify the results. The analysis to a simply supported RC bridge in Sichuan province shows that: the results of the equation are close to numerical solutions of MCS when the double integral of molecule of a single conditional probability is greater than 0.7, which proves its correctness; the larger scale parameter of Gamma degradation process and the weaker time-correlativity of load effects will lead to greater structural time-dependent failure probability; when the annual growth rate of vehicle load intensity is higher than 2%, the bridge failure probability within 30 years is relatively large, where regular inspection, maintenance and repair are required. © 2024 Tsinghua University. All rights reserved.
引用
收藏
页码:202 / 212
页数:10
相关论文
共 49 条
  • [1] YU Haoran, LU Naiwei, LIU Yang, The probability of vehicle-effect extreme value of existing arch bridges with continuous increase of traffic volume, Journal of Transport Science and Engineering, 36, 1, pp. 50-55, (2020)
  • [2] LEI Xu, Condition assessment research of existing concrete bridge’s carrying capacity by the method of risk analysis, (2011)
  • [3] WANG Cao, LI Quanwang, Time-dependent reliability of existing bridges considering non-stationary load process, Engineering Mechanics, 33, 3, pp. 18-23, (2016)
  • [4] WANG Cao, Mathematical formulation tools for time-dependent reliability assessment of existing structures, (2015)
  • [5] ZHANG Liye, Study on bridge system reliability based on random process and fuzzy comprehensive evaluation, (2013)
  • [6] ZHONG Xiaobin, Study on countermeasure and reason for frequent bridge collapse, Transport World, 29, 1, pp. 18-20, (2019)
  • [7] LI Quanwang, LI Chunqian, SUN Jiankang, Reliability-based capacity assessment of existing bridges, Engineering Mechanics, 27, pp. 142-151, (2010)
  • [8] JIN Conghe, QIAN Yongjiu, XU Wangxi, Et al., Bridge reliability evaluation by considering correlated load history verification of time-variant resistance, Journal of Vibration and Shock, 40, 15, pp. 146-155, (2021)
  • [9] YE Xinyi, WANG Cao, LI Quanwang, New method for calculation of time-dependent reliability of RC bridges, Engineering Mechanics, 35, 11, pp. 85-91, (2018)
  • [10] HUANG Haiyun, ZHANG Junping, LYU Jinhao, Reliability evaluation of an urban bridge based on durability theory and load limit policy, Engineering Mechanics, 39, pp. 58-63, (2022)