Stacked Elasticity Imaging Approach for Visualizing Defects in the Presence of Background Inhomogeneity
Publication: Journal of Engineering Mechanics
Volume 145, Issue 1
Abstract
The ability to detect spatially-distributed defects and material changes over time is a central theme in structural health monitoring. In recent years, numerous computational approaches using electrical, electromagnetic, thermal, acoustic, optical, displacement, and other nondestructive measurements as input data for inverse imaging regimes have aimed to localize damage as a function of space and time. Often, these regimes aim to reconstruct images based off one set of data disregarding prior information from previous structural states. In this paper, we propose a stacked approach for one increasingly popular modality in structural health monitoring, namely quasi-static elasticity imaging. The proposed approach aims to simultaneously reconstruct spatial changes in elastic properties based on data from before and after the occurrence of damage in the presence of an inhomogeneous background. We conduct numerical studies, investigating in-plane plate stretching and bending, considering geometries with various damage levels. Results demonstrate the feasibility of the proposed imaging approach, indicating that the inclusion of prior information from multiple states visually improves reconstruction quality and decreases root mean-square error (RMSE) with respect to true images.
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Acknowledgments
The first two authors would like to acknowledge the support of the Department of Mechanical Engineering at Aalto University throughout this project. Aalto University Science-IT provided the computing platform for this work on the Aalto Triton cluster, this support is greatly acknowledged. The third author was supported by National Natural Science Foundation of China (61871356) and Anhui Provincial Natural Science Foundation (1708085MA25).
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Published In
Journal of Engineering Mechanics
Volume 145 • Issue 1 • January 2019
Copyright
©2018 American Society of Civil Engineers.
History
Received: Jan 31, 2018
Accepted: Jul 6, 2018
Published online: Oct 26, 2018
Published in print: Jan 1, 2019
Discussion open until: Mar 26, 2019
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