254,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in über 4 Wochen
payback
127 °P sammeln
  • Gebundenes Buch

Physico-mechanical rock properties are significant in all operational mining activities. This book evaluates rock properties by using empirical equations and soft computing techniques. It predicts various physico-mechanical properties such as uniaxial compressive strength (UCS), Schmidt rebound number (SRN), dry density, P-wave velocity (Vp), tensile strength (TS), Young's modulus (E), and percentage porosity (n) using multiple regression and artificial neural network (MLP and RBF) techniques, taking drill bit speed, penetration rate, drill bit diameter, and equivalent sound level produced during drilling as input parameters.…mehr

Produktbeschreibung
Physico-mechanical rock properties are significant in all operational mining activities. This book evaluates rock properties by using empirical equations and soft computing techniques. It predicts various physico-mechanical properties such as uniaxial compressive strength (UCS), Schmidt rebound number (SRN), dry density, P-wave velocity (Vp), tensile strength (TS), Young's modulus (E), and percentage porosity (n) using multiple regression and artificial neural network (MLP and RBF) techniques, taking drill bit speed, penetration rate, drill bit diameter, and equivalent sound level produced during drilling as input parameters.
Autorenporträt
Dr. Harsha Vardhan completed his bachelor of technology in mining engineering from the National Institute of Technology Karnataka at Surathkal and a Ph.D. from the Indian School of Mines, Dhanbad. At present he is working on the faculty of the National Institute of Technology Karnataka at Surathkal as associate professor, Department of Mining Engineering. He has developed expertise in the area of mine environment, underground ventilation, and noise control of mining equipment. He has developed a special interest in the application of acoustics in rock mechanics. Dr. Vardhan has to his credit more than 86 research papers in international and national journals and conferences. Dr. Rajesh Kumar Bayar completed his bachelor of engineering degree in mechanical engineering from Mysore University, his master of Technology in advanced manufacturing engineering, and a Ph.D. from the National Institute of Technology Karnataka at Surathkal. Before joining the Technical Institute of Ministry of Manpower, Sultanate of Oman, he worked with the N.M.A.M Institute of Technology, Nitte. At present he is working on the faculty of the Department of Engineering, Mechanical Section, Higher College of Technology, Muscat, Sultanate of Oman. Dr. Bayar has developed expertise in the area of CAD/CAM, finite element analysis, artificial neural network, and rock mechanics. He is actively involved in research and consultancy.