首页|期刊导航|防务技术|Accurate prediction of blast-induced ground vibration intensity using optimized machine learning models

Accurate prediction of blast-induced ground vibration intensity using optimized machine learning models

Lihua Chen Yewuhalashet Fissha Mahdi Hasanipanah Refka Ghodhbani Hesam Dehghani Jitendra Khatti

防务技术2025，Vol.52Issue(10)：32-46,15.

防务技术2025，Vol.52Issue(10)：32-46,15.DOI:10.1016/j.dt.2025.06.019

Accurate prediction of blast-induced ground vibration intensity using optimized machine learning models

Lihua Chen ¹Yewuhalashet Fissha ²Mahdi Hasanipanah ³Refka Ghodhbani ⁴Hesam Dehghani ⁵Jitendra Khatti⁶

作者信息

1. Chongqing Vocational Institute of Engineering,Chongqing,402260,China
2. Department of Electrical and Computer Engineering,National Institute of Technology,Asahikawa College,Asahikawa city,071-8142,Japan||Department of Mining Engineering,Aksum University,Aksum,7080,Ethiopia
3. Institute of Research and Development,Duy Tan University,Da Nang,Viet Nam||School of Engineering & Technology,Duy Tan University,Da Nang,Viet Nam
4. Center for Scientific Research and Entrepreneurship,Northern Border University,Arar,73213,Saudi Arabia
5. Department of Mining,Faculty of Engineering,Hamedan University of Technology,Hamedan,65168,Iran
6. Department of Civil Engineering,Rajasthan Technical University,Kota,324010,India
折叠

摘要

关键词

Ground vibrations/Peak particle velocity/Machine learning/CatBoost/Nature-inspired optimization/Blasting safety

Key words

Ground vibrations/Peak particle velocity/Machine learning/CatBoost/Nature-inspired optimization/Blasting safety

引用本文复制引用

Lihua Chen,Yewuhalashet Fissha,Mahdi Hasanipanah,Refka Ghodhbani,Hesam Dehghani,Jitendra Khatti..Accurate prediction of blast-induced ground vibration intensity using optimized machine learning models[J].防务技术,2025,52(10):32-46,15.

基金项目

The authors extend their appreciation to the Deanship of Sci-entific Research at Northern Border University,Arar,KSA for funding this research work through the project number"NBU-FFMRA-2025-2461-09". （）

防务技术

ISSN：2214-9147

访问量0

下载量0

段落导航