Abstract

Non-destructive testing, with non-contact from a remote location, to detect and visualize internal defects in composite materials such as a concrete is desired. Therefore, a noncontact acoustic inspection method has been studied. In this method, the measurement surface is forced to vibrate by powerful aerial sound waves from a remote sound source, and the vibration state is measured by a laser Doppler vibrometer. The distribution of acoustic feature quantities (spectral entropy and vibrational energy ratio) is analyzed to statistically identify and evaluate healthy parts of concrete. If healthy parts in the measuring plane can be identified, the other part is considered to be internal defects or an abnormal measurement point. As a result, internal defects are detected. Spectral entropy (SE) was used to distinguish between defective parts and healthy parts. Furthermore, in order to distinguish between the resonance of a laser head and the resonance of the defective part of the concrete, spatial spectral entropy (SSE) was also used. SSE is an extension of the concept of SE to a two-dimensional measuring space. That is, based on the concept of SE, SSE is calculated, at each frequency, for spatial distribution of vibration velocity spectrum in the measuring plane. However, these two entropy values were used in unnormalized expressions. Therefore, although relative evaluation within the same measurement surface was possible, there was the issue that changes in the entropy value could not be evaluated in a unified manner in measurements under different conditions and environments. Therefore, this study verified whether it is possible to perform a unified evaluation for different defective parts of concrete specimen by using normalized SE and normalized SSE. From the experimental results using cavity defects and peeling defects, the detection and visualization of internal defects in concrete can be effectively carried out by the following two analysis methods. The first is using both the normalized SE and the evaluation of a healthy part of concrete. The second is the normalized SSE analysis that detects resonance frequency band of internal defects.

Highlights

  • Spectral entropy is often used in the time domain in recent years in the field of speech [1,2] and electroencephalography (EEG) analysis [3,4]

  • The tapping inspection largely depends on the skill and experience of the inspector, and there is a problem that it is expensive to install scaffolding in a high place, so it is expected to develop a method that can measure from a long distance without contact

  • Vibration energy is radiated to the entire surface by sound waves, and the vibration velocity distribution of the target surface is measured by a scanning laser Doppler vibrometer (SLDV)

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Summary

Introduction

Spectral entropy is often used in the time domain in recent years in the field of speech [1,2] and electroencephalography (EEG) analysis [3,4]. In order to solve this problem, a noncontact acoustic inspection method has been studying using acoustic irradiation induced vibration [7,8] In this method, vibration energy is radiated to the entire surface by sound waves, and the vibration velocity distribution of the target surface is measured by a scanning laser Doppler vibrometer (SLDV). In order to distinguish it from the resonance phenomenon due to the defective part of concrete, spatial spectral entropy (SSE) [12] was devised that extended the concept of spectral entropy (SE) to a two-dimensional measuring space. By using SSE, it is possible to distinguish between the resonance due to the laser head of SLDV and the resonance of the defective part of concrete These two entropy amounts have been used without normalization. In this paper, it is verified whether it is possible to perform a unified evaluation of different defective parts of concrete specimen using normalized SE and normalized SSE

Experimental Method
Normalization of Two Types of Entropy for Defect Detection
Normalized Spectral Entropy
Measurement Conditions
Vibration Velocity Spectrum in the Center of Circular Defect
Conclusions

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