大跨度缆索承重桥梁缆索损伤识别及可靠度研究

项目名称： 大跨度缆索承重桥梁缆索损伤识别及可靠度研究

项目编号： No.51208208

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 建筑环境与结构工程学科

项目作者： 余晓琳

作者单位： 华南理工大学

项目金额： 25万元

中文摘要： 针对缆索承重桥梁发展中缆索损伤识别及其可靠性评估研究不足的问题，采用理论分析、数值计算、试验研究和实际工程应用相结合的研究方法，利用先进的无线传感技术建立桥梁状态监测系统，实现数据自动化采集、远距离传输和智能化处理，逐步建立可用于缆索损伤识别及桥梁结构可靠度分析所需参数的数据库；提出基于kriging模型的缆索损伤识别方法，准确识别缆索损伤位置及损伤程度；提出新颖的改进响应面法计算评估损伤缆索的可靠度，通过敏感性分析以掌握参数对缆索损伤的影响；最后基于随机有限元法建立缆索损伤后全桥体系可靠度研究方法，评估缆索损伤后对桥梁承载力的影响及全桥的安全可靠性，提出切实可行的维修加固方案，确保桥梁继续安全运营。项目成果可为缆索承重桥梁及时调整或更换受损缆索提供依据，为桥梁可靠性评估提供依据，具有重要的理论意义和工程应用价值，且对于实现缆索寿命最大化、保证交通安全，也具有很高的经济效益和社会效益。

中文关键词： 缆索承重桥梁；损伤识别；可靠度评估；无线传感器网络；改进响应面法

英文摘要： Compared to the rapid development of cable-supported bridges, researches on cable damage detection and its reliability evaluation are insufficient. In this project, we will conduct systematic research on cable damage detection and its reliability evaluation, in combination with theoretical analysis, numerical calculation, experimental research and engineering application. Since the advanced wireless sensor networks can realize automated data acquisition, long-distance transmission and intelligent processing, on this basis, bridge monitoring system will be established to obtain cable and overall bridge dynamic characteristics (i.e. natural frequencies, mode shape). A database will be also established for cable damage detection and bridge reliability analysis based on a large number of valid data acquired. The cable damage detection method based on Kriging model will be proposed to identify cable damage. An improved novel response surface method will be presented to evaluate cable damage reliability degrees. The effect of parameters on the cable damage will be obtained through parameter sensitivity analysis. Finally, based on the stochastic finite element method, the research method on system reliability of whole bridge after cable damage will be established to evaluate the influence of the bearing capacity of cab

英文关键词： cable-supported bridge；damage detection；reliability evaluation；wireless sensor network；improved response surface method