Environmental Issues of Blasting

Applications of Artificial Intelligence Techniques de

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Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2022-01-04

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Description

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.
Pages
77 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2022-01-04
Marque
Springer
EAN papier
9789811682360
EAN PDF
9789811682377

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
1546 Ko
Prix
63,29 €
EAN EPUB
9789811682377

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
3195 Ko
Prix
63,29 €