Quality classification of roadway surrounding rock serves as the foundation for analyzing roadway sta-bility and devising appropriate support designs and construction strategies.Enhancing the precision of these clas-sification outcomes is crucial for bolstering the efficacy of support systems and the stability of roadway surrounds.Employing the Rock Mass Rating(RMR)method as a framework,this study exemplified the process with index values of classification factors from a specific measurement point.It constructed a membership matrix for the RMR method's classification indicators,integrated the entropy method to ascertain the weight of these indicators,and generated a weighted membership matrix.An optimized scoring formula was devised to refine the index scor-ing and quality classification of surrounding rock.Support parameters were then determined based on the results of surrounding rock quality classification and loosening circle monitoring,employing FLAC3D for numerical sim-ulations.The study assessed the support effects pre and post-optimization,using the volume of the plastic zone and the convergence measure of the roadway's roof and floor as evaluation indices.The findings indicate that a marked improvement in the accuracy of index scores and surrounding rock grades post-optimization led to more rational support parameter designs.Numerical simulations corroborated the enhanced stability of the surrounding rock,with the application of optimized support parameters to engineering practice yielding positive outcomes.This research effectively addresses issues related to classification factor index values of roadway surrounding rock that fall at classification boundaries or have extensive spans,offering insights for rock mass quality classification and support design in mining operations.
membership degreeentropy evaluation methodrock mass quality classificationstability of sur-rounding rockroadway support
国家科技期刊平台
NSTL
维普
万方数据
