Concrete Damage Identification and Localization for Structural Health Monitoring Based on Piezoelectric Sensors

In recent years, effective methods for concrete damage identification and localization have become crucial in the field of structural health monitoring (SHM). This study proposes an approach utilizing piezoelectric sensors to detect and localize damage in concrete structures. The method involves using a network of piezoelectric ceramic sensors to actively excite and receive stress waves within the concrete. By analyzing the differences in wave propagation between healthy and damaged states, internal damage can be identified and localized. The collected data are processed using advanced signal processing techniques, including wavelet analysis and pattern recognition algorithms, to accurately identify the damage's location and severity. Experimental results demonstrate the high precision of this method. Compared to traditional techniques, this approach offers significant advantages, including faster detection, non-destructive testing, and real-time monitoring. In conclusion, the use of piezoelectric sensors for damage detection and localization provides a promising solution for enhancing the safety and longevity of concrete structures, offering a reliable tool for structural health monitoring in civil engineering applications.

Authors

Institutions

Publication Details

Journal
Sensors
Published
2025-04-17
DOI
https://doi.org/10.3390/s25082532
Citations
6
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
5.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Concrete Damage Identification and Localization for Structural Health Monitoring Based on Piezoelectric Sensors

Bo Di, Yu Zheng, Jize Zhang, Haixiao Wu et al.
6 citations
Sensors
Structural Health Monitoring Techniques
5.72
article

Concrete Damage Identification and Localization for Structural Health Monitoring Based on Piezoelectric Sensors

Bo Di, Yu Zheng, Jize Zhang, Haixiao Wu, Hongjie Li, Hongwei Ma, Xiaomiao Huang
article en
6 citations

Abstract

In recent years, effective methods for concrete damage identification and localization have become crucial in the field of structural health monitoring (SHM). This study proposes an approach utilizing piezoelectric sensors to detect and localize damage in concrete structures. The method involves using a network of piezoelectric ceramic sensors to actively excite and receive stress waves within the concrete. By analyzing the differences in wave propagation between healthy and damaged states, internal damage can be identified and localized. The collected data are processed using advanced signal processing techniques, including wavelet analysis and pattern recognition algorithms, to accurately identify the damage's location and severity. Experimental results demonstrate the high precision of this method. Compared to traditional techniques, this approach offers significant advantages, including faster detection, non-destructive testing, and real-time monitoring. In conclusion, the use of piezoelectric sensors for damage detection and localization provides a promising solution for enhancing the safety and longevity of concrete structures, offering a reliable tool for structural health monitoring in civil engineering applications.

SensorsVol. 25(8)
Hong Kong University of Science and Technology (HK), Dongguan University of Technology (CN), Shanghai Harbour Engineering Design & Research Institute (CN), China Construction Eighth Engineering Division (China) (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Sustainable cities and communities
Openalex Percentile: Top 4%
Structural Health Monitoring Techniques
5.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.