B. Alipenhani - School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran
A. Majdi - School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran
H. Bakhshandeh Amnieh - School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran

The present work aims at implementing Response Surface Methodology (RSM) in order to generate a statistical model for Minimum Required Caving Span (MRCS) and estimate both the individual and mutual effects of the rock mass parameters on rock mass cavability. The adequate required data is obtained from the result of numerical modeling. In this work, various arrays of numerical simulations (۴۸۰ models) are carried out using the UDEC software in order to study the rock mass cavability thoroughly. The effect of each individual parameter and their mutual effect on MRCS are investigated by means of ANOVA. ANOVA indicates that all the chosen parameters (depth, dip of the joint, number of joints, angle of friction of the joint surface, and joint spacing) highly affect MRCS. In other words, the results of ANOVA are in high agreement with the results of the conventional sensitivity analysis. Moreover, a combination of joint spacing and joint inclination has the highest mutual effect on MRCS, and a combination of undercut depth and joint spacing has the lowest effect on MRCS.

Block caving, Numerical Modeling, joint characteristics, UDEC, RSM