Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Environmental Issues of Blasting: Applications of Artificial Intelligence Techniques

Environmental Issues of Blasting: Applications of Artificial Intelligence Techniques

Bhatawdekar, Ramesh M.
Armaghani, Danial Jahed
Azizi, Aydin

Paperback

Series: Springerbriefs in Applied Sciences and Technology

Environmental StudiesGeneral ComputersPhysics

ISBN10: 9811682364
ISBN13: 9789811682360
Publisher: Springer Nature
Published: Jan 5 2022
Pages: 77
Weight: 0.30
Height: 0.18 Width: 6.14 Depth: 9.21
Language: English

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.

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