Damage detection in a double-beam system using proper orthogonal decomposition and teaching-learning based algorithm

被引：0

作者：

Mirzabeigy A. ^{[1
]}

Madoliat R. ^{[1
]}

机构：

[1] School of Mechanical Engineering, Iran University of Science and Technology, Narmak, Tehran

来源：

Scientia Iranica | 2020年 / 27卷 / 2 B期

关键词：

Crack; Damage; Double-beam system; Proper orthogonal decomposition; Teaching-learning based optimization;

D O I：

10.24200/SCI.2019.50520.1738

中图分类号：

学科分类号：

摘要：

This study applies the inverse approach to damage detection in a doublebeam system. A double-beam system made of two parallel beams is connected through an elastic layer. Degradation of the stiffness of beams element, crack occurrence, and partial destruction of the inner layer are considered as different types of damage. The time domain acceleration response of the system is measured, and proper orthogonal decomposition is applied to the collected data in order to derive Proper Orthogonal Values (POVs) and Proper Orthogonal Modes (POMs) of the system. Effect of single damage in different locations on the POV has been analyzed, and an objective function is defined using the dominant POV and POM of each beam separately. In order to increase the robustness of the method against noise, the objective function is enriched by adding statistical property of time domain response. The teaching-learning based optimization algorithm is employed to solve the optimization problem. The efficiency of the proposed method for detecting single and multiple damages in the system is demonstrated with and without noise. Simulation results verify the good accuracy of the proposed method for detecting single and multiple damages of different types in the system. © 2020 Sharif University of Technology. All rights reserved.

引用

页码：757 / 771

页数：14

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