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Thermal strain extraction methodologies for bridge structural condition assessment

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journal contribution
posted on 30.05.2022, 13:11 authored by Yanjie Zhu, Yi-Qing Ni, Andre JesusAndre Jesus, Jingliang Liu, Irwanda Laory

This paper presents a feature extraction method to uncover the temperature effects on bridge responses, which combines mode decomposition, data reduction, and blind separation. For mode decomposition, empirical mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD) have been executed, followed by principal component analysis (PCA) for data size compression. Independent component analysis (ICA) is then employed for blind separation. The unique feature of the proposed method is the blind separation, which enables temperature-induced response to be extracted from the mixed structural responses without any prior information of the loading conditions and structural physical models. This study further evaluates the effects of extracting a temperature-induced response on damage detectability when using Moving Principal Component Analysis (MPCA). Numerical analysis for a truss bridge model is first conducted to evaluate the proposed method for thermal feature extraction, followed by a real truss bridge test in the structural laboratory at the University of Warwick. Results from the numerical study show that the method enables the separation of a temperature-induced response; and furthermore, the EEMD, utilized in mode decomposition, has a positive influence on the blind separation compared with EMD when combined with PCA and ICA. Finally, the real truss bridge test demonstrates that the feature extraction method can enhance the probability of MPCA to uncover the damage as the MPCA fails to discern damage without the proposed method.

Funding

China Scholarship Council

British Council (Grant ID: 217544274)

History

School

  • Architecture, Building and Civil Engineering

Published in

Smart Materials and Structures

Volume

27

Issue

10

Publisher

IOP Publishing

Version

AM (Accepted Manuscript)

Rights holder

© IOP Publishing

Publisher statement

This is an author-created, un-copyedited version of an article accepted for publication/published in Smart Materials and Structures. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at https://doi.org/10.1088/1361-665x/aad5fb

Acceptance date

26/07/2018

Publication date

2018-09-21

Copyright date

2018

ISSN

0964-1726

eISSN

1361-665X

Language

en

Depositor

Dr Andre Jesus. Deposit date: 27 May 2022

Article number

105051