2018
DOI: 10.1186/s13640-018-0385-4
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Non-destructive inspection on anchorage defect of hollow grouted rock bolt using wavelet transform analysis

Abstract: 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. Th… Show more

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Cited by 11 publications
(4 citation statements)
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“…Yang Hao used the hammer method and wavelet transform analysis to detect grouting defects in rock bolts. The analysis results certified that nondestructive detecting technology can be used to easily distinguish the free length, the grouted length, the defect length, and their respective positions [8]. Fei Yao detected the grouting defects in segment-grout structures through the impact-echo method.…”
Section: Introductionmentioning
confidence: 70%
“…Yang Hao used the hammer method and wavelet transform analysis to detect grouting defects in rock bolts. The analysis results certified that nondestructive detecting technology can be used to easily distinguish the free length, the grouted length, the defect length, and their respective positions [8]. Fei Yao detected the grouting defects in segment-grout structures through the impact-echo method.…”
Section: Introductionmentioning
confidence: 70%
“…To mitigate the influence of environmental and equipment noise on the detection results, several signal processing methods have been proposed for anchor rods NDT. These methods include Fourier transform (FFT) [3], wavelet filtering [4,5], variational mode decomposition-Hilbert Huang transform (VMD-HHT) [6], empirical mode decompositionspectral kurtosis denoising [7], HHT [8], AILPSA [9], grey cloud model [10], etc. Among them, FFT and wavelet filtering are earlier and widely applied signal processing methods.…”
Section: Introductionmentioning
confidence: 99%
“…In a diagnosis process both acoustic and ultrasonic waves are utilized. Correspondingly, different analytical approaches are used as Fast Fourier Transform (FFT), wavelet transform analysis and neural network algorithms (Beard and Lowe 2003;Starkey et al 2003;Hao et al 2018;Patil and Maiti 2005;Sadettin 2007;Hyett et al 2012). In order to observe the behavior of grouted rock bolts also smart sensors techniques are introduced (Gangbing et al 2017), in particular load measurements at the heads (Hyett et al 2012).…”
Section: Introductionmentioning
confidence: 99%