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Two-phase damage detection of beam structures under moving load using multi-scale wavelet signal processing and wavelet finite element model.

Authors :
He, Wen-Yu
Zhu, Songye
Ren, Wei-Xin
Source :
Applied Mathematical Modelling. Feb2019, Vol. 66, p728-744. 17p.
Publication Year :
2019

Abstract

Highlights • This paper proposes a novel two-phase damage detection method for structures under a moving load. • The proposed method utilizes both wavelet signal processing and wavelet finite element model for damage detection. • The proposed method consists of two sequential phases, namely localization and quantification. • The proposed method is successfully validates it via a laboratory experiment of a scaled beam structure. Abstract This paper proposes a damage detection method with two phases, namely, localization and quantification, for beam structures subjected to moving load and successfully validates it via a laboratory experiment. Firstly, the discrete wavelet transform (DWT) is applied to decompose the displacement response change induced by a moving vehicle and locate potential structural damages. Then adaptive-scale wavelet finite element model (WFEM) updating is employed to estimate the damage severity in the identified damage regions in a progressive fashion. The elemental scales of WFEM are adaptively changed according to not only the moving vehicle position but also the progressively identified damage regions. Such a method can effectively minimize the number of modeling degree-of-freedoms (DOFs) and updating parameters during optimization. The feasibility and effectiveness of the proposed method is examined through a laboratory experiment with different damage scenarios. The results indicate the proposed method can achieve good consistency between structural modeling, damage scenarios, and load conditions, as well as an optimal tradeoff between damage detection accuracy and efficiency. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0307904X
Volume :
66
Database :
Academic Search Index
Journal :
Applied Mathematical Modelling
Publication Type :
Academic Journal
Accession number :
133439214
Full Text :
https://doi.org/10.1016/j.apm.2018.10.005