Abstract

The construction quality of the bolt is directly related to the safety of the project, and, as such, it must be tested. In this paper, the improved complete ensemble empirical mode decomposition (ICEEMD) method is introduced to the bolt detection signal analysis. The ICEEMD is used in order to decompose the anchor detection signal according to the approximate entropy of each intrinsic mode function (IMF). The noise of the IMFs is eliminated by the wavelet soft threshold denoising technique. Based on the approximate entropy and the wavelet denoising principle, the ICEEMD-De anchor signal analysis method is proposed. From the analysis of the vibration analog signal, as well as the bolt detection signal, the result shows that the ICEEMD-De method is capable of correctly separating the different IMFs under noisy conditions and also that the IMF can effectively identify the reflection signal of the end of the bolt.

Highlights

  • The bolt anchoring system is subject to the geological conditions and the construction technology effect

  • Based on the mentioned research, the improved complete ensemble empirical mode decomposition (ICEEMD) method is introduced into the bolt detection signal analysis in this paper

  • Based on ICEEMD, the approximate entropy, and wavelet denoising theory, we proposed ICEEMD-De method

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Summary

Introduction

The bolt anchoring system is subject to the geological conditions and the construction technology effect. The detection of the anchor’s anchoring quality is mainly based on the drawing test [1,2,3] This method will cause damage to the anchoring system. The detection method for the quality of the anchor will be gradually replaced by the use of nondestructive testing methods, such as the acoustic wave method [7,8,9,10] This method is established based on the mathematical model of the one-dimensional elastic rod [8, 11, 12]. Based on the mentioned research, the ICEEMD method is introduced into the bolt detection signal analysis in this paper. The ICEEMD-de was used to process the simulation vibration signal and the actual bolt detection signal

Theory and Methodology
Vibration Simulation Signal Analysis
Analysis of Bolt Detection Signals
Conclusions
Full Text
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