Environmental issues of blasting : applications of artificial intelligence techniques / Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi.
2021
TA748 .B53 2021
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Details
Title
Environmental issues of blasting : applications of artificial intelligence techniques / Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi.
ISBN
9789811682377 (electronic bk.)
9811682372 (electronic bk.)
9789811682360
9811682364
9811682372 (electronic bk.)
9789811682360
9811682364
Published
Singapore : Springer, [2021]
Copyright
©2021
Language
English
Description
1 online resource : illustrations (chiefly color).
Other Standard Identifiers
10.1007/978-981-16-8237-7 doi
Call Number
TA748 .B53 2021
Dewey Decimal Classification
624.1/526
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed January 18, 2022).
Series
SpringerBriefs in applied sciences and technology.
Available in Other Form
Print version: 9789811682360
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Table of Contents
1. An Overview of Blasting Operations and Possible Techniques to Solve Environmental Issues of Blasting
2. Review of Empirical and Intelligent Techniques for Evaluating Rock Fragmentation Induced by Blasting
3. Applications of AI and ML Techniques to Predict Back-Break and Flyrock Distance Resulting from Blasting
4. Blast-Induced Air and Ground Vibrations: A Review of Soft Computing Techniques.
2. Review of Empirical and Intelligent Techniques for Evaluating Rock Fragmentation Induced by Blasting
3. Applications of AI and ML Techniques to Predict Back-Break and Flyrock Distance Resulting from Blasting
4. Blast-Induced Air and Ground Vibrations: A Review of Soft Computing Techniques.