Environmental Issues of Blasting
Applications of Artificial Intelligence Techniques
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Beschreibung
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.
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 useful read for researchers and professionals in the area of blasting and geotechnics
Autor*in
Ramesh M. Bhatawdekar
Themen in »Environmental Issues of Blasting«
Blasting Operations Environmental Issues of Blasting Rock Fragmentations Flyrock Distance in Blasting Back-Break Prediction Artificial Intelligence Techniques Blast Induced Ground Vibrations Soft Computing Techniques Blast Induced Air Vibrations