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Microcracking in Concrete

Microcracking in Concrete

Microcracking in concrete refers to the tiny cracks that can form within the material even before any external load is applied. These microcracks typically occur at the interface between the coarse aggregate and the hydrated cement paste, often as a result of differential volume changes prompted by variations in stress-strain behavior, as well as thermal and moisture movement. Initially, these microcracks remain stable and do not grow substantially until the concrete is stressed to about 30...

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Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets

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

Hongjie Li^1,2, Bo Di^1,2, Yu Zheng^1,2

¹School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan 523808, China.

Sensors (Basel, Switzerland)

|April 26, 2025

Summary

This study uses piezoelectric sensors to detect and locate damage in concrete structures by analyzing stress wave propagation. This non-destructive method offers faster, real-time monitoring for improved structural health and safety.

Keywords:

concrete damage detection localization non-destructive testing piezoelectric sensors structural health monitoring

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Area of Science:

Civil Engineering
Materials Science
Sensor Technology

Background:

Effective concrete damage identification and localization are critical for structural health monitoring (SHM).
Existing methods may lack speed, real-time capabilities, or non-destructive attributes.

Purpose of the Study:

To propose and validate a novel approach for concrete damage detection and localization using piezoelectric sensors.
To enhance the safety and longevity of concrete structures through advanced SHM.

Main Methods:

Utilizing a network of piezoelectric ceramic sensors to actively excite and receive stress waves within concrete.
Analyzing stress wave propagation differences between healthy and damaged states.
Employing advanced signal processing techniques, including wavelet analysis and pattern recognition.

Main Results:

Experimental results demonstrate high precision in damage identification and localization.
The method accurately identifies damage location and severity.
The approach proved effective in detecting internal damage.

Conclusions:

Piezoelectric sensors offer a promising, non-destructive method for concrete damage detection and localization.
This technique provides significant advantages over traditional methods, including speed and real-time monitoring capabilities.
The developed approach is a reliable tool for SHM in civil engineering.