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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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Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors

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Bottom Crack Detection with Real-Time Signal Amplitude Correction Using EMAT-PEC Composite Sensor.

Yizhou Guo¹, Yu Hu¹, Kai Wang¹

¹School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

Sensors (Basel, Switzerland)

|August 29, 2024

Summary

This summary is machine-generated.

A new composite sensor combining electromagnetic acoustic transducer (EMAT) and pulse eddy current (PEC) effectively detects small bottom cracks. This sensor overcomes lift-off interference, improving inspection accuracy for tiny defects.

Keywords:

EMAT PEC amplitude correction bottom crack lift-off signal fusion

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Last Updated: Jun 14, 2025

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Published on: March 13, 2017

Area of Science:

Non-destructive testing
Electromagnetic acoustic transducers (EMAT)
Pulse eddy current (PEC)

Background:

Electromagnetic ultrasonic testing faces challenges with small bottom cracks and probe lift-off fluctuations.
Time of flight (ToF) limitations hinder accurate detection of small defects.
Lift-off variations compromise the consistency and accuracy of inspection results.

Purpose of the Study:

To develop a novel composite sensor integrating EMAT and PEC for improved detection of small bottom cracks.
To address the limitations of traditional methods in handling lift-off interference.
To enhance the accuracy and reliability of non-destructive testing for subsurface defects.

Main Methods:

Designed a composite sensor combining EMAT and PEC technologies.
Utilized EMAT for bottom echo amplitude analysis to identify cracks.
Employed PEC signals to measure real-time average probe lift-off.
Combined theoretical analysis and finite element method (FEM) to differentiate lift-off and crack effects.
Developed a signal fusion method for amplitude correction.

Main Results:

The composite sensor successfully detected bottom cracks as small as 0.1 mm x 0.3 mm.
The signal fusion method effectively corrected defect signal amplitudes, reducing lift-off impact.
The amplitude correction method achieved a relative error of less than ±8%.

Conclusions:

The novel EMAT-PEC composite sensor offers a robust solution for detecting small bottom cracks.
Signal fusion significantly improves the accuracy and consistency of non-destructive testing by mitigating lift-off effects.
This integrated approach enhances the capability of inspecting critical components for subsurface flaws.