Crack detection in concrete structures using standard deviation of discrete wavelet transform

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Published Dec 3, 2024
https://doi.org/10.46223/HCMCOUJS.acs.en.15.1.68.2025
Date
Received: 2024-08-17
Accepted: 2024-10-17
Published: 2024-12-03
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15(1)2025 (IN PRESS)

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Morteza Saadatmorad
Babol Noshirvani University of Technology: Babol, Mazandaran, IR
https://orcid.org/0000-0001-6202-6132
Samir Khatir
Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam
Bochra Khatir
University Center of Naama, Naama, Algeria

Abstract

Crack detection in concrete structures is an important issue in the maintenance and repair operations of the structures. Detecting and distinguishing cracks in concrete can help determine the structure's health and prevent the possibility of structural failure. An efficient method for separating cracks in concrete is to use wavelet transform. This paper proposes a new crack detection technique based on a two-dimensional discrete wavelet transform and the standard deviation obtained from its detail signals to select an optimum wavelet function. According to our findings, there is a significant relation between the statistical index standard deviation and the desired detail signal obtained from the two-dimensional discrete wavelet transform for selecting the optimum wavelet function. Specifically, results show that as the standard deviation of the matrix of detail signal increases by a given wavelet function, crack detection resolution increases by that wavelet function.

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Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite
Saadatmorad, M., Khatir, S., & Khatir, B. . (2024). Crack detection in concrete structures using standard deviation of discrete wavelet transform. HCMCOU Journal of Science – Advances in Computational Structures, 15(1). https://doi.org/10.46223/HCMCOUJS.acs.en.15.1.68.2025
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