Intelligent ground vibration prediction in surface mines using an efficient soft computing method based on field data

• 主要な著者: Keshtegar, Behrooz, Piri, Jamshid, Abdullah, Rini Asnida, Hasanipanah, Mahdi, Sabri, Mohanad Muayad, Le, Binh Nguyen
• フォーマット: 論文
• 言語: English
• 出版事項: Frontiers Media S.A. 2023
• 主題: TA Engineering (General). Civil engineering (General)
• オンライン･アクセス: http://eprints.utm.my/107457/1/RiniAsnidaAbdullah2023_IntelligentGroundVibrationPredictionInSurface.pdf; http://eprints.utm.my/107457/; http://dx.doi.org/10.3389/fpubh.2022.1094771

Ground vibration induced by blasting operations is considered one of the most common environmental effects of mining projects. A strong ground vibration can destroy buildings and structures, hence its prediction and minimization are of high importance. The aim of this study is to estimate the ground...