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Geotechnical engineering blasting: a new modal aliasing cancellation methodology of vibration signal de-noising

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Abstract

In the present study of peak particle velocity (PPV) and frequency, an improved algorithm (principal empirical mode decomposition, PEMD) based on principal component analysis (PCA) and empirical mode decomposition (EMD) is proposed, with the goal of addressing poor filtering de-noising effects caused by the occurrences of modal aliasing phenomena in EMD blasting vibration signal decomposition processes. Test results showed that frequency of intrinsic mode function (IMF) components decomposed by PEMD gradually decreases and that the main frequency is unique, which eliminates the phenomenon of modal aliasing. In the simulation experiment, the signal-to-noise (SNR) and root mean square errors (RMSE) ratio of the signal de-noised by PEMD are the largest when compared to EMD and ensemble empirical mode decomposition (EEMD). The main frequency of the de-noising signal through PEMD is 75 Hz, which is closest to the frequency of the noiseless simulation signal. In geotechnical engineering blasting experiments, compared to EMD and EEMD, the signal de-noised by PEMD has the lowest level of distortion, and the frequency band is distributed in a range of 0–64 Hz, which is closest to the frequency band of the blasting vibration signal. In addition, the proportion of noise energy was the lowest, at 1.8%.

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Acknowledgement

This work is supported by the National Natural Science Foundation of China (52064015, 51404111), the Jiangxi Provincial Natural Science Foundation (20192BAB206017), the Scientific Research Project of the Jiangxi Provincial Education Department (GJJ160643), the Program of Qingjiang Excellent Young Talents, and Jiangxi University of Science and Technology (JXUSTQJYX2016007). The authors wish to express their thanks to all of these supporting institutions. Additionally, special thanks go to the editor and the reviewers of this study, and for all their useful comments, which substantially improved the manuscript.

Funding

National Natural Science Foundation of China under Grant Nos. 52064015 and 51404111, Jiangxi Provincial Natural Science Foundation under Grant No. 20192BAB206017, Scientific Research Project of Jiangxi Provincial Education Department under Grant No. GJJ160643, and the Program of Qingjiang Excellent Young Talents, Jiangxi University of Science and Technology under GrantNo. JXUSTQJYX2016007

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Authors and Affiliations

  1. School of Resource and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou, 341000, China

    Yi Wenhua, Yan Lei, Wang Zhenhuan & Liu Liansheng

  2. School of Civil Engineering and Architecture, Nanchang University, Nanchang, 330031, China

    Yang Jianhua

  3. School of Civil Engineering, Guizhou University, Guiyang, 550025, China

    Tao Tiejun

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  1. Yi Wenhua
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  2. Yan Lei
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  3. Wang Zhenhuan
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  4. Yang Jianhua
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  5. Tao Tiejun
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  6. Liu Liansheng
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Correspondence to Liu Liansheng.

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Wenhua, Y., Lei, Y., Zhenhuan, W. et al. Geotechnical engineering blasting: a new modal aliasing cancellation methodology of vibration signal de-noising. Earthq. Eng. Eng. Vib. 21, 313–323 (2022). https://doi.org/10.1007/s11803-022-2094-3

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