Data-driven machine learning approaches for simultaneous prediction of peak particle velocity and frequency induced by rock blasting in mining

Data-driven machine learning approaches for simultaneous prediction of peak particle velocity and frequency induced by rock blasting in mining

The vibrations generated by rock blasting are a serious and hazardous outcome of these activities, causing harmful effects on the surrounding environment as well as the nearby residents. Both the local ecology and human communities suffer from the consequences of these vibrations. Assessing the seve...

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Bibliographic Details
Main Authors: Yewuhalashet Fissha, Prashanth Ragam, Hajime Ikeda, N. Kushal Kumar, Tsuyoshi Adachi, P.S. Paul, Youhei Kawamura
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-01-01
Series:Rock Mechanics Bulletin
Subjects:
PPV
Frequency
Machine learning
Blasting
Regression
Catboost
Online Access:http://www.sciencedirect.com/science/article/pii/S2773230424000659
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