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Environmental issues of blasting = a...

Bhatawdekar, Ramesh M.

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Environmental issues of blasting = applications of artificial intelligence techniques /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Environmental issues of blasting/ by Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi.
Reminder of title:	applications of artificial intelligence techniques /
Author:	Bhatawdekar, Ramesh M.
other author:	Armaghani, Danial Jahed.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	1 online resource (ix, 77 p.) :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Blasting - Environmental aspects. -
Online resource:	https://doi.org/10.1007/978-981-16-8237-7
ISBN:	9789811682377

Environmental issues of blasting = applications of artificial intelligence techniques /
Bhatawdekar, Ramesh M.

Environmental issues of blastingapplications of artificial intelligence techniques /[electronic resource] :by Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi. - Singapore :Springer Singapore :2021. - 1 online resource (ix, 77 p.) :ill. (chiefly col.), digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-5318. - SpringerBriefs in applied sciences and technology..

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.

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.

ISBN: 9789811682377

Standard No.: 10.1007/978-981-16-8237-7doiSubjects--Topical Terms:

3538884
Blasting
--Environmental aspects.

LC Class. No.: TA748 / B53 2021

Dewey Class. No.: 624.1526

Environmental issues of blasting = applications of artificial intelligence techniques /
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300 $a 1 online resource (ix, 77 p.) : $b ill. (chiefly col.), digital ; $c 24 cm.
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505 0 $a 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.
520 $a 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.
650 0 $a Blasting $x Environmental aspects. $3 3538884
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650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Geotechnical Engineering and Applied Earth Sciences. $3 3538886
700 1 $a Armaghani, Danial Jahed. $3 3538883
700 1 $a Azizi, Aydin. $3 3380105
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