TY - GEN

T1 - Application of the Wavelet Transform to Structural Defects in Buildings: An Overview

AU - Xiao, Shuoting

AU - Fomin, Nikita igorevich

AU - Ji, Zheng

PY - 2024/3/14

Y1 - 2024/3/14

N2 - Buildings and infrastructural amenities are foundational to urban growth and the overall welfare of societies. These structures, crucial as they are, often face challenges to their integrity due to manufacturing imperfections, environmental adversities, and various external pressures. Conventional approaches for pinpointing defects within these structures have exhibited certain constraints, particularly in terms of accuracy and operational efficiency. In response, this paper furnishes an all-encompassing exploration of the wavelet transform’s role in detecting and thoroughly analyzing structural anomalies in buildings. This method, with its intricate signal processing capabilities, stands out in recognizing and analyzing discrepancies across a spectrum of frequency bands and scales, offering a nuanced tool for structural insight. The paper probe the integration of the wavelet transform within the domain of building structures, with a particular emphasis on structural health monitoring (SHM). The objective of this study is to shed light on the transformative potential, inherent strengths, and possible limitations of the wavelet transform within the domain of SHM. Navigating through methodologies such as Continuous Wavelet Transform (CWT), Discrete Wavelet Transform (DWT), Multi-resolution Analysis (MRA), and several burgeoning techniques, this review meticulously unravels their foundational underpinnings, avant-garde applications, and their profound relevance in contemporary civil engineering practices.

AB - Buildings and infrastructural amenities are foundational to urban growth and the overall welfare of societies. These structures, crucial as they are, often face challenges to their integrity due to manufacturing imperfections, environmental adversities, and various external pressures. Conventional approaches for pinpointing defects within these structures have exhibited certain constraints, particularly in terms of accuracy and operational efficiency. In response, this paper furnishes an all-encompassing exploration of the wavelet transform’s role in detecting and thoroughly analyzing structural anomalies in buildings. This method, with its intricate signal processing capabilities, stands out in recognizing and analyzing discrepancies across a spectrum of frequency bands and scales, offering a nuanced tool for structural insight. The paper probe the integration of the wavelet transform within the domain of building structures, with a particular emphasis on structural health monitoring (SHM). The objective of this study is to shed light on the transformative potential, inherent strengths, and possible limitations of the wavelet transform within the domain of SHM. Navigating through methodologies such as Continuous Wavelet Transform (CWT), Discrete Wavelet Transform (DWT), Multi-resolution Analysis (MRA), and several burgeoning techniques, this review meticulously unravels their foundational underpinnings, avant-garde applications, and their profound relevance in contemporary civil engineering practices.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85189519095

U2 - 10.1007/978-981-97-1514-5_43

DO - 10.1007/978-981-97-1514-5_43

M3 - Conference contribution

SN - 978-981971513-8

VL - 474

T3 - Proceedings of the 2nd International Conference on Advanced Civil Engineering and Smart Structures

SP - 420

EP - 428

BT - Lecture Notes in Civil Engineering

PB - Springer

ER -