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

石春香;李胡生

振动与冲击 ›› 2011, Vol. 30 ›› Issue (8) : 123-127,.

PDF(1332 KB)
PDF(1332 KB)
振动与冲击 ›› 2011, Vol. 30 ›› Issue (8) : 123-127,.
论文

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

  • 石春香; 李胡生
作者信息 +

Experimental study on damage detection of a girder bridge Based on Hilbert Marginal Spectrum and Random-Fuzzy Statistics Principle

  • Shi Chun-Xiang; Li Hu-Sheng
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文章历史 +

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。

Abstract

HHT is a novel data analysis method which can be used in nonlinear non—stationary data and it’s very adaptive. Fuzzy characteristics of the bridge test model and random characteristics of load excitation result in Hilbert marginal spectrum energy ratio can be disposed by random-fuzzy statistics principle, because it includes both random error and fuzzy error. The method of HHT combined with random-fuzzy statistics principle was proposed to distinguish structural damage. And four Hilbert marginal spectrum energy index were applied to the damage recognitions in a continuous two-span girder bridge model in the lab. The results indicate that four Hilbert marginal spectrum energy index all changed before and after girder damaged, but energy accumulated variation index and energy variation max index can denote damage location and extent accurately, are more sensitive than energy ratio deviation and energy ratio variance to the structural damage, so they are more applicable in the bridge online alarming 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

Key words

bridge engineering / damage identification / experimental research / Hilbert marginal spectrum / random-fuzzy mean

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石春香;李胡生 . 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[J]. 振动与冲击, 2011, 30(8): 123-127,
Shi Chun-Xiang;Li Hu-Sheng. Experimental study on damage detection of a girder bridge Based on Hilbert Marginal Spectrum and Random-Fuzzy Statistics Principle[J]. Journal of Vibration and Shock, 2011, 30(8): 123-127,

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