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.
Autorentext
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