Characteristics and Energy Distribution of Blast-Induced Ground Vibration in Deep-Hole Blasting

被引:1
作者
Bao, Shijie [1 ]
Fei, Honglu [1 ]
Hu, Gang [1 ]
机构
[1] Liaoning Tech Univ, Sch Civil Engn, Fuxin 123000, Peoples R China
关键词
blast-induced ground vibration; peak particle velocity; deep-hole blasting; increasing extremum;
D O I
10.3390/buildings13040899
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study proposes an incremental extreme extraction method based on the waveform characteristics of ground vibration signals obtained from open-pit mines to investigate the distribution and characteristics of ground vibration from deep-hole blasting. Firstly, an incremental extreme extraction method is proposed based on the waveform characteristics of borehole blasting vibration signals in open-pit mines. The proposed method could extract and screen the extreme values of blasting vibration signals and effectively improve the utilization rate of the data. The space vector of particle vibration is introduced to analyze the angle change between the particle velocity vector and the ground surface when the extreme value increases. Finally, the relation between the particle velocity vector and the angle between the ground plane and the increasing extremum position of several sets of measured signals is studied. Based on the statistical analysis, the results show that the particle velocity in the vertical direction has a significant advantage over that of the other two directions, and the angle between the extreme particle velocity vector direction and the ground plane is primarily distributed in the range of 60 degrees similar to 90 degrees. After an unstable distribution of particle velocities in the transition zone, the particle velocities in each direction gradually attain a relatively balanced and stable attenuation condition as the distance increases. This proves the reliability of the proposed vector analysis of particle velocity in understanding the mechanism of rock blasting.
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页数:18
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  • [1] Improved analysis of ground vibrations produced by man-made sources
    Ainalis, Daniel
    Ducarne, Loic
    Kaufmann, Olivier
    Tshibangu, Jean-Pierre
    Verlinden, Olivier
    Kouroussis, Georges
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 616 : 517 - 530
  • [2] Waveform analysis in mitigation of blast-induced vibrations
    Aldas, G. G. U.
    Ecevitoglu, B.
    [J]. JOURNAL OF APPLIED GEOPHYSICS, 2008, 66 (1-2) : 25 - 30
  • [3] Blasting vibration characteristics and PPV calculation formula considering cylindrical charge length
    Chen, Shihai
    Wu, Jian
    Zhang, Zihua
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2017, 76 (20)
  • [4] An evaluation of numerical approaches for S-wave component simulation in rock blasting
    Gao, Qidong
    Lu, Wenbo
    Hua, Yingguo
    Yang, Zhaowei
    Yan, Peng
    Chen, Ming
    [J]. JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING, 2017, 9 (05) : 830 - 842
  • [5] Evaluation of underground blast-induced ground motions through nearsurface low-velocity geological layers
    Gou, Yonggang
    Shi, Xiuzhi
    Yu, Zhi
    Huo, Xiaofeng
    Qiu, Xianyang
    [J]. JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING, 2023, 15 (03) : 600 - 617
  • [6] Forecasting blast-induced ground vibration developing a CART model
    Hasanipanah, Mahdi
    Faradonbeh, Roohollah Shirani
    Amnieh, Hassan Bakhshandeh
    Armaghani, Danial Jahed
    Monjezi, Masoud
    [J]. ENGINEERING WITH COMPUTERS, 2017, 33 (02) : 307 - 316
  • [7] Feasibility of indirect determination of blast induced ground vibration based on support vector machine
    Hasanipanah, Mahdi
    Monjezi, Masoud
    Shahnazar, Azam
    Armaghani, Danial Jahed
    Farazmand, Alireza
    [J]. MEASUREMENT, 2015, 75 : 289 - 297
  • [8] Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Different Nature-Inspired Optimization Algorithms and Deep Neural Network
    Hoang Nguyen
    Xuan-Nam Bui
    Quang-Hieu Tran
    Dinh-An Nguyen
    Le Thi Thu Hoa
    Qui-Thao Le
    Le Thi Huong Giang
    [J]. NATURAL RESOURCES RESEARCH, 2021, 30 (06) : 4695 - 4717
  • [9] Propagation and prediction of blasting vibration on slope in an open pit during underground mining
    Jiang, Nan
    Zhou, Chuanbo
    Lu, Shiwei
    Zhang, Zhen
    [J]. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2017, 70 : 409 - 421
  • [10] Classification and regression tree technique in estimating peak particle velocity caused by blasting
    Khandelwal, Manoj
    Armaghani, Danial Jahed
    Faradonbeh, Roohollah Shirani
    Yellishetty, Mohan
    Abd Majid, Muhd Zaimi
    Monjezi, Masoud
    [J]. ENGINEERING WITH COMPUTERS, 2017, 33 (01) : 45 - 53