基于Hilbert边际谱与随机-模糊统计原理的梁桥损伤识别试验研究  

Experimental study on damage detection of a girder bridge based on hilbert marginal spectrum and random-fuzzy statistics principle

作　　者：石春香[1] 李胡生[1] 

机构地区：[1]上海应用技术学院城市建设与安全工程学院,上海200235

出　　处：《振动与冲击》2011年第8期123-127,148,共6页Journal of Vibration and Shock

基　　金：上海市科委重点攻关项目基金资助(072105115)

摘　　要：HHT是一种新的适用于非线性、非平稳信号且具有自适应性的数据处理方法,而桥梁试验模型空间变异的模糊性和测量过程中荷载激励的随机性,使得Hilbert边际谱能量比同时具有随机不确定性和模糊不确定性,适用于被随机-模糊统计原理处理,提出了基于Hilbert边际谱与随机-模糊统计原理的结构损伤识别方法,并将四个Hilbert边际谱能量指标应用到室内两跨连续梁模型桥的损伤识别中。结果表明:主梁损伤前后四种能量指标都发生了变化,但是能量累积变异指标和能量变异最值指标能准确指示出损伤位置和程度,比能量比偏差和能量比方差对于结构损伤更加敏感,更适用于桥梁实时在线的预测预警系统。HHT（Hilbert-Huang transformation） is a novel data analysis method which can be used in the case of adaptively processing nonlinear non-stationary data. Fuzzy characteristics of bridge test model and random characteristics of load excitation result in Hilbert marginal spectrum energy ratio to be disposed by random-fuzzy statistics principle, because it includes both random error and fuzzy error. The method of IqHT combined with random-fuzzy statistics principle was proposed to distinguish structural damages. Four Hilbert marginal spectrum energy indexes were applied to damage recognitions of a continuous two-spans girder bridge mode/ in the lab. The results indicate that four Hilbert marginal spectrum energy indexes will all change before and after girder damage, however the accumulated energy variation index and the max energy variation index can denote damage location and extent accurately, and are more sensitive than the energy ratio deviation and the energy ratio variance to structural damages, so they are more applicable in the bridge online alarmin~ system.

关 键 词：桥梁工程 损伤识别 试验研究 Hilbert边际谱 随机-模糊均值 

分 类 号：U445.7[建筑科学—桥梁与隧道工程]