Non-destructive inspection on anchorage defect of hollow grouted rock bolt using wavelet transform analysis

Hollow grouted rock bolts are widely used in deep soft rock roadways. The density of grout has a significant influence on the anchorage quality. However, there is still a lack of effective methods to detect the grouting quality fast, accurately, and extensively. Based on the wave velocity and the la...

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Published in:EURASIP journal on image and video processing 2018-12, Vol.2018 (1), p.1-12, Article 146
Main Authors: Hao, Yang, Wu, Yu, Li, Pan, Tao, Jing, Teng, Yi, Hao, Guan
Format: Article
Language:English
Subjects:
Anchorage quality
Biometrics
Defects
Engineering
Grout
Grouting
High pass filters
Hollow grouted rock bolt
Image Processing and Computer Vision
Inspection
Low pass filters
Non-destructive inspection
Nondestructive testing
Pattern Recognition
Roads
Rock bolts
Signal,Image and Speech Processing
Stress waves
Visual Information Learning and Analytics on Cross-Media Big Data
Wave reflection
Wavelet analysis
Wavelet transform
Wavelet transforms
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cited_by cdi_FETCH-LOGICAL-c425t-6d7b4bf3bf982d1b2dfbee5e790fee3187f5aacc20232fa5b94447b74583e8c73
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Tao, Jing
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description Hollow grouted rock bolts are widely used in deep soft rock roadways. The density of grout has a significant influence on the anchorage quality. However, there is still a lack of effective methods to detect the grouting quality fast, accurately, and extensively. Based on the wave velocity and the law of stress wave transmission and reflection in the impedance mismatch, non-destructive experiment focused on the defect in the anchorage was conducted. The wavelet transform was used to analyze the test signals. The test results show that the free length of hollow grouted rock bolt could be accurately detected through the analysis of the stress wave signal by using the low-pass filter in the wavelet toolbox. The grouted length, defect length, and specific position of the anchorage section can be accurately detected through the analysis of the stress wave signal by using the high-pass filter in the wavelet toolbox. The research can provide experiment foundation for further study of grouting quality based on the non-destructive methods.
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source Springer Nature - SpringerLink Journals - Fully Open Access; Publicly Available Content (ProQuest)
subjects Anchorage quality
Biometrics
Defects
Engineering
Grout
Grouting
High pass filters
Hollow grouted rock bolt
Image Processing and Computer Vision
Inspection
Low pass filters
Non-destructive inspection
Nondestructive testing
Pattern Recognition
Roads
Rock bolts
Signal,Image and Speech Processing
Stress waves
Visual Information Learning and Analytics on Cross-Media Big Data
Wave reflection
Wavelet analysis
Wavelet transform
Wavelet transforms
title Non-destructive inspection on anchorage defect of hollow grouted rock bolt using wavelet transform analysis
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