Volume 13, Issue 2 (4-2023)
IJOCE 2023, 13(2): 257-274 |
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Damghani F, Tavakkoli S M. STRUCTURAL DAMAGE DETECTION IN PLANE STRESS PROBLEMS BY USING TIME DOMAIN RESPONSES AND TOPOLOGY OPTIMIZATION. IJOCE 2023; 13 (2) :257-274
URL: http://ijoce.iust.ac.ir/article-1-553-en.html
URL: http://ijoce.iust.ac.ir/article-1-553-en.html
1- Civil Engineering Department, Shahrood University of Technology, Shahrood, Iran
Abstract: (8303 Views)
An efficient method is proposed by using time domain responses and topology optimization to identify the location and severity of damages in two-dimensional structures under plane stress assumption. Damage is assumed in the form of material density reduction in the finite element model of the structure. The time domain responses utilized here, are the nodal accelerations measured at certain points of the structure. The responses are obtained by the Newmark method and contaminated with uniformly random noise in order to simulate real conditions. Damage indicators are extracted from the time domain responses by using Singular Value Decomposition (SVD). The problem of damage detection is presented as a topology optimization problem and the Solid Isotropic Material with Penalization (SIMP) method is used for appropriate damage modeling. The objective function is formed based on the difference of singular values of the Hankel matrix for responses of real structure and the analytical model. In order to evaluate the correctness of the proposed method, some numerical examples are examined. The results indicate efficiency of the proposed method in structural damage detection and its parameters such as resampling length in SVD, penalty factor in the SIMP method and number and location of sensors are effective parameters for improving the results.
Keywords: structural damage detection, structural health monitoring, time domain responses, SIMP, topology optimization.
Type of Study: Research |
Subject:
Applications
Received: 2023/02/1 | Accepted: 2023/04/21 | Published: 2023/04/21
Received: 2023/02/1 | Accepted: 2023/04/21 | Published: 2023/04/21
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