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

Hongjie Li, Bo Di, Yu Zheng, Hongwei Ma, Xiaomiao Huang, Haixiao Wu, Jize Zhang

2025Sensors8 citationsDOIOpen Access PDF

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.

Topics & Concepts

Structural health monitoringPiezoelectric sensorPiezoelectricityIdentification (biology)SIGNAL (programming language)Computer scienceField (mathematics)WaveletSignal processingLamb wavesAcousticsStructural engineeringEngineeringArtificial intelligenceTelecommunicationsPhysicsSurface wavePure mathematicsBiologyMathematicsRadarBotanyProgramming languageStructural Health Monitoring TechniquesUltrasonics and Acoustic Wave PropagationConcrete Corrosion and Durability
Concrete Damage Identification and Localization for Structural Health Monitoring Based on Piezoelectric Sensors | Litcius