Volume 14, Issue 3 (6-2024)
IJOCE 2024, 14(3): 423-444 |
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Hajizadeh A, Khatibinia M, Hamidian D. PERFORMANCE ASSESSMENT OF CONTOURLET TRANSFORM IN DAMAGE DETECTION OF PLATE STRUCTURES. IJOCE 2024; 14 (3) :423-444
URL: http://ijoce.iust.ac.ir/article-1-601-en.html
URL: http://ijoce.iust.ac.ir/article-1-601-en.html
1- Department of Civil Engineering, National University of Skills (NUS), Tehran, Iran
2- Department of Civil Engineering, University of Birjand, Birjand, Iran
3- Department of Civil Engineering, Islamic Azad University, Gachsaran, Iran
2- Department of Civil Engineering, University of Birjand, Birjand, Iran
3- Department of Civil Engineering, Islamic Azad University, Gachsaran, Iran
Abstract: (3389 Views)
The contourlet transform as an extension of the wavelet transform in two dimensions uses the multiscale and directional filter banks, and has a more adequate performance in comparison with the classical multi-scale representations. In this study, the efficiency of the contourlet transform is assessed for identifying the damage of plate structures in various conditions. The conditions include single damage and multi–damages with different shapes and severities, the different supports (i.e., boundary conditions), and the higher mode shapes,. For achieving this purpose, the process of the damage detection of plate structures using contourlet transform is implemented in the three steps. In the first step, the first mode shapes of a damaged plate and a reference state as the intact plate are obtained using the finite element method. In the second step, the damage indices are achieved by applying the contourlet transform to the responses of the first mode shapes for the damaged and intact plates. Finally, the location and the approximate shape of the damage are identified by plotting the damage indices. The obtained results indicate that the various conditions influence the performance of the contourlet transform for identifying the location and approximate shape of damages in plate structures.
Keywords: damage detection, contourlet transform, Laplacian pyramid, directional filter banks, plate structure, mode shape
Type of Study: Research |
Subject:
Applications
Received: 2024/07/24 | Accepted: 2024/09/7 | Published: 2024/09/9
Received: 2024/07/24 | Accepted: 2024/09/7 | Published: 2024/09/9
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