To read this content please select one of the options below:

A Gaussian multi-scale space difference method to multiple slight damage localization based on strain modes

Xueli Song (Chang'an University, Xi'an, China)
Fengdan Wang (Chang'an University, Xi'an, China)
Rongpeng Li (Chang'an University, Xi'an, China)
Yuzhu Xiao (Chang'an University, Xi'an, China)
Xinbo Li (Chang'an University, Xi'an, China)
Qingtian Deng (School of Science, Chang'an University, Xi'an, China)

Engineering Computations

ISSN: 0264-4401

Article publication date: 31 August 2023

Issue publication date: 12 October 2023

95

Abstract

Purpose

In structural health monitoring, localization of multiple slight damage without baseline data is significant and difficult. The purpose of this paper is to discuss these issues.

Design/methodology/approach

Damage in the structure causes singularities of displacement modes, which in turn reveals damage. Methods based on the displacement modes may fail to accurately locate the slight damage because the slight damage in engineering structure results in a relatively small variation of the displacement modes. In comparison with the displacement modes, the strain modes are more sensitive to the slight damage because the strain is the derivative of the displacement. As a result, the slight variation in displacement data will be magnified by the derivative, leading to a significant variation of the strain modes. A novel method based on strain modes is proposed for the purpose of accurately locating the multiple slight damage.

Findings

In the two bay beam and steel fixed-fixed beams, the numerical simulations and the experimental cases, respectively, illustrate that the proposed method can achieve more accurate localization in comparison with the one based on the displacement modes.

Originality/value

The paper offers a practical approach for more accurate localization of multiple slight damage without baseline data. And the robustness to measurement noise of the proposed method is evaluated for increasing levels of artificially added white Gaussian noise until its limit is reached, defining its range of practical applicability.

Keywords

Acknowledgements

This work is partly supported by the Special Fund for Basic Scientific Research of Central Colleges in Chang'an University (310812163504 and 300102129202) and the Fundamental Research Funds for the Central Universities, CHD (300102122111).

Citation

Song, X., Wang, F., Li, R., Xiao, Y., Li, X. and Deng, Q. (2023), "A Gaussian multi-scale space difference method to multiple slight damage localization based on strain modes", Engineering Computations, Vol. 40 No. 7/8, pp. 1819-1850. https://doi.org/10.1108/EC-10-2022-0651

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

Related articles