Environmental Issues of Blasting

Applications of Artificial Intelligence Techniques

Häftad, Engelska, 2022

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

849 kr

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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. 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.

Produktinformation

Utgivningsdatum2022-01-05
Mått155 x 235 x 6 mm
Vikt149 g
FormatHäftad
SpråkEngelska
SerieSpringerBriefs in Applied Sciences and Technology
Antal sidor77
FörlagSpringer Verlag, Singapore
ISBN9789811682360

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Dr. Ramesh M. Bhatawdekar is currently an adjunct professor in the Department of Mining Engineering, Indian Institute of Technology, Kharagpur, India. He is also Head of Training and Courses at Geotropik, Department of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia. He obtained his Ph.D. in Civil- AI/ML application in blasting, from Universiti Teknologi Malaysia. His areas of research are in drilling, rock mechanics, rock mass classification and blasting environmental issues, application of artificial intelligence and optimization algorithms in geotechnics. Dr. Danial Jahed Armaghani is currently working as a senior researcher in the Institute of Architecture and Construction at South Ural State University, Russia. He received his postdoc from Amirkabir University of Technology, Tehran, Iran and his Ph.D. degree, in Civil Geotechnics, from Universiti Teknologi Malaysia, Malaysia. His area of research is tunnelling, rock mechanics, piling technology, blasting environmental issues, applying artiﬁcial intelligence, and optimization algorithms in civil-geotechnics. Dr. Danial published more than 200 papers in well-established ISI and Scopus journals, national, and international conferences. Dr. Danial is also a recognized reviewer in the area of rock mechanics and geotechnical engineering.Dr. Aydin Azizi holds a Ph.D. in Mechanical Engineering. Certified as an official instructor for the Siemens Mechatronic Certification Program (SMSCP), he currently serves as a senior lecturer at the Oxford Brookes University. His current research focuses on investigating and developing novel techniques to model, control and optimize complex systems. Dr. Azizi’s areas of expertise include Control & Automation, Artificial Intelligence and Simulation Techniques. Dr. Azizi is the recipient of the National Research Award of Oman for his AI-focused research, DELL EMC’s “Envision the Future” completion award in IoT for “Automated Irrigation System”,s and ‘Exceptional Talent’ recognition by the British Royal Academy of Engineering.

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.