Rock Mechanics Bulletin2025，Vol.4Issue(1)：P.29-52,24.DOI:10.1016/j.rockmb.2024.100166
Data-driven machine learning approaches for simultaneous prediction of peak particle velocity and frequency induced by rock blasting in mining
Yewuhalashet Fissha 1Prashanth Ragam 2Hajime Ikeda 3N.Kushal Kumar 2Tsuyoshi Adachi 4P.S.Paul 5Youhei Kawamura6
作者信息
- 1. Department of Geosciences,Geotechnology,and Materials Engineering for Resources,Graduate School of International Resource Sciences,Akita University,Akita,010-8502,Japan Department of Mining Engineering,Aksum University,Aksum,7080,Tigray,Ethiopia
- 2. School of Computer Science and Engineering,VIT-AP University,Amaravati,Andhra Pradesh,India
- 3. Department of Systems,Control,and Information Engineering,National Institute of Technology,Asahikawa College,2-2-1-6 Syunkodai Asahikawa city Hokkaido,071-8142,Japan
- 4. Department of Geosciences,Geotechnology,and Materials Engineering for Resources,Graduate School of International Resource Sciences,Akita University,Akita,010-8502,Japan
- 5. Department of Mining Engineering,Indian Institute of Technology(Indian School of Mines),Dhanbad,826004,India
- 6. Faculty of Engineering,Hokkaido University,Kita 8,Nishi 5,Kita-Ku,Sapporo,0608628,Japan
- 折叠
摘要
关键词
PPV/Frequency/Machine learning/Blasting/Regression/Catboost/XGboost分类
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Yewuhalashet Fissha,Prashanth Ragam,Hajime Ikeda,N.Kushal Kumar,Tsuyoshi Adachi,P.S.Paul,Youhei Kawamura..Data-driven machine learning approaches for simultaneous prediction of peak particle velocity and frequency induced by rock blasting in mining[J].Rock Mechanics Bulletin,2025,4(1):P.29-52,24.
