基于贝叶斯理论的高铁站房结构损伤分析识别方法  

Analysis and identification method of railway station building structure damage based on Bayesian theory

作　　者：张高明 胡健 赵岩[3] 熊学炜[2] 赵鹏飞 方显[2] 申朝旭 钱基宏 张小福 王洋 Zhang Gaoming;Hu Jian;Zhao Yan;Xiong Xuewei;Zhao Pengfei;Fang Xian;Shen Zhaoxu;Qian Jihong;Zhang Xiaofu;Wang Yang(China Academy of Building Research,Beijing 100013,China;China Railway Siyuan Survey and Design Group Co.Ltd,Wuhan 430063,China;Dalian University of Technology,Dalian 116024,China)

机构地区：[1]中国建筑科学研究院有限公司,北京100013 [2]中铁第四勘察设计院集团有限公司,湖北武汉430063 [3]大连理工大学,辽宁大连116024

出　　处：《建筑科学》2022年第1期42-48,共7页Building Science

基　　金：国家重点研发计划(2016YFC0802205);铁四院科研课题(2018K139)。

摘　　要：由于工程实际损伤识别过程中建模和测量误差的影响,不可避免地带来结构力学行为的不确定性,利用贝叶斯方法来进行不确定结构损伤识别成为研究的一个热点。本文介绍了贝叶斯方法的基本理论,利用贝叶斯理论框架,以环境激励结构响应功率谱为观测量,建立了结构刚度参数在考虑测量信息下的条件概率密度,利用最大后验估计构造目标函数通过优化迭代技术进行刚度参数识别。最后,利用提出的损伤识别方法对某高铁站结构不同损伤工况下杆件材料刚度参数进行识别,取得较好的效果。Due to the influence of modeling and measurement errors in the actual damage identification process, the uncertainty of structural mechanical behavior will inevitably be brought. The Bayesian method to identify uncertain structural damage has become a research hotspot. In this paper, the basic theory of Bayesian method is introduced. Based on the Bayesian theory framework, the conditional probability density of structural stiffness parameters considering the measurement information is established. The objective function is constructed by using the maximum a posteriori estimation, and the stiffness parameters are identified by optimization iteration technique. Finally, the proposed damage identification method is used to identify the stiffness parameters of members under different damage conditions of a high-speed railway station structure, and good results are obtained.

关 键 词：贝叶斯方法 不确定性 损伤识别 功率谱 

分 类 号：TU312[建筑科学—结构工程]