基于信息更新的在役桥梁结构模糊随机可靠度研究

项目名称： 基于信息更新的在役桥梁结构模糊随机可靠度研究

项目编号： No.51478193

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 建筑科学

项目作者： 颜全胜

作者单位： 华南理工大学

项目金额： 80万元

中文摘要： 针对当前在役桥梁可靠度计算往往不能符合实际的问题，本项目采用基于不确定性模型的贝叶斯（Bayes）方法，并结合马尔可夫蒙特卡罗抽样，对桥梁的结构参数特性进行实时识别和信息更新；引入模糊随机变量的概念，采用Kriging模型，提出平均最大改进算法以保证响应模拟效率，同时采用自适应蒙特卡罗区间优化算法，提高区间计算效率；通过自适应迭代策略，将模糊分析嵌套于随机分析，提出基于鞍点模拟的模糊性和随机性统一分析法。以九江斜拉桥为工程背景，利用已成功应用于九江斜拉桥状态监测的基于Imote2无线传感器技术的桥梁智能监测系统得到观测信息，完成对九江斜拉桥的模糊随机可靠度分析，继而形成一套适用于在役桥梁安全可靠度计算评估的有效理论方法。

中文关键词： 信息更新；桥梁结构；贝叶斯理论；模糊随机；可靠度

英文摘要： As researches about reliability assessment of inservice bridges are impractical, the bayes method based on uncertain model is proposed to identify and update the structure parameters timely Combining with the Markov Monte Carlo sampling.The concept of Fuzzy-Random variable is introduced and defined. Based on the kriging model, the mean maximum improved algorithm will be used to ensure the efficiency of approximation, and the adaptive Monte Carlo interval optimization algorithm will be also uesd to improve the calculation efficiency. By means of adaptive iterative strategy, the fuzzy anlysis will nested in the random anlysis prosess, thereafter, the unified anlysis method mixed by fuzzy and random could be obtained, which based on Saddle Point approximation algorithm. Taking Jiujiang cable-stayed bridge as the engineering background, the bridge intelligent monitoring system based on the advanced Imote2-based wireless sensor networks will be used to collect the observation information for the fuzzy random reliability analysis of the cable-stayed bridge in Jiujiang. Based this, an effective methodology used for reliability assessment of inservice bridge could be established.

英文关键词： information-Updating;bridge;bayes;fuzzy-random;reliability