基于遗传优化最小二乘算法的结构损伤识别

尹强;周丽

振动与冲击 ›› 2010, Vol. 29 ›› Issue (8) : 155-159.

PDF(1398 KB)
PDF(1398 KB)
振动与冲击 ›› 2010, Vol. 29 ›› Issue (8) : 155-159.
论文

基于遗传优化最小二乘算法的结构损伤识别

  • 尹强;周丽
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Structural Damage Identification Based on GA Optimized Least Square Estimation

  • YIN Qiang;ZHOU Li
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摘要

基于遗传优化方法,提出一种自适应追踪技术,并结合最小二乘算法,对线性结构和迟滞非线性结构的时变参数进行识别,并由此判断结构的损伤。数值仿真结果表明该方法对结构因损伤引起的参数变化具有敏感性,能够有效地追踪结构参数的变化,识别结构的时变参数,从而检测出结构损伤,包括损伤的发生时刻,以及损伤的位置和程度;此外,还对线性结构进行了实验验证,实验结果表明所提方法能够有效追踪结构参数的变化,从而识别出结构的损伤,具有实际应用价值。

Abstract

A GA optimized least square estimation algorithm using an adaptive tracking technique was presented for structural damage identification. In the proposed approach, a genetic optimizing algorithm was adopted to optimize a variable adaptive factor matrix in which each adaptive factor is associated with the variation of a particular parameter, and the adaptive factor matrix can be determined based on current measured data.For illystrating advantages the presented method was applied to on-line identification of the changes of system parameters for linear and nonlinear hysteretic structures. Simulation results demonstrate that the proposed method is capable of tracking the time-varying system parameters and detecting the structural damages, including the damage location and severity. Besides, experimental study was presented to verify the capability of the proposed method by taking a small-scale 3-story building model as an example. Experimental results demonstrate that the proposed approach is capable of tracking the variation of structural parameters, leading to the detection of structural damages.

关键词

自适应追踪 / 系统辨识 / 损伤识别 / 迟滞非线性结构 / 遗传优化算法

Key words

adaptive tracking / system identification / damage detection / hysteretic structures / genetic algorithm (GA)

引用本文

导出引用
尹强;周丽. 基于遗传优化最小二乘算法的结构损伤识别[J]. 振动与冲击, 2010, 29(8): 155-159
YIN Qiang;ZHOU Li. Structural Damage Identification Based on GA Optimized Least Square Estimation[J]. Journal of Vibration and Shock, 2010, 29(8): 155-159

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