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Use of wavelets for damage diagnostics in truss structures

Hussain Altammar (Department of Mechanical Engineering, University of Wisconsin, Milwaukee, Wisconsin, USA)
Sudhir Kaul (Department of Engineering and Technology, Western Carolina University, Cullowhee, North Carolina, USA)
Anoop K. Dhingra (Department of Mechanical Engineering, University of Wisconsin, Milwaukee, Wisconsin, USA)

International Journal of Structural Integrity

ISSN: 1757-9864

Article publication date: 12 June 2017

Abstract

Purpose

Wavelets are being increasingly used for damage diagnostics. The purpose of this paper is to present an algorithm that uses the wavelet transform for detecting mixed-mode, also known as combined mode, cracks in large truss structures.

Design/methodology/approach

The mixed-mode crack is modeled by superposing two damage modes, and this model is combined with a finite element model of the truss. The natural modes of the truss are processed through the wavelet transform and then used to determine the damage location. The influence of multiple parameters such as truss geometry, crack geometry, number of truss members, orientation of truss members, etc. is investigated as part of the study.

Findings

The proposed damage detection algorithm is found to be successful in detecting single mode as well as mixed-mode cracks even in the presence of significant end effects, and even when a relatively coarse sampling of natural modes is used. Results from multiple simulations that involve three commonly used truss structures are presented. A correlation between damage severity and the magnitude of wavelet coefficients is observed.

Originality/value

The proposed algorithm is found to be successful in accurately detecting damage, but direct determination of damage severity is found to be challenging.

Keywords

Citation

Altammar, H., Kaul, S. and Dhingra, A.K. (2017), "Use of wavelets for damage diagnostics in truss structures", International Journal of Structural Integrity, Vol. 8 No. 3, pp. 373-391. https://doi.org/10.1108/IJSI-05-2016-0017

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited