書目名稱 | Environmental Issues of Blasting |
副標(biāo)題 | Applications of Arti |
編輯 | Ramesh M. Bhatawdekar,Danial Jahed Armaghani,Aydin |
視頻video | http://file.papertrans.cn/313/312724/312724.mp4 |
概述 | Reviews the available AI and ML models in solving blasting environmental issues.Presents the successful use of certain AI and ML models in minimizing and controlling blasting environmental issues.Is a |
叢書名稱 | SpringerBriefs in Applied Sciences and Technology |
圖書封面 |  |
描述 | .This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock?masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards.. |
出版日期 | Book 2021 |
關(guān)鍵詞 | Blasting Operations; Environmental Issues of Blasting; Rock Fragmentations; Flyrock Distance in Blastin |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-16-8237-7 |
isbn_softcover | 978-981-16-8236-0 |
isbn_ebook | 978-981-16-8237-7Series ISSN 2191-530X Series E-ISSN 2191-5318 |
issn_series | 2191-530X |
copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 |