caa a22 4500 467931038 CHVBK 20180406152943.0 cr unu---uuuuu 170328e20060801xx s 000 0 eng 10.1007/s10706-005-7464-x doi (NATIONALLICENCE)springer-10.1007/s10706-005-7464-x Visualization of rock mass classification systems [Elektronische Daten] [Ming Cai, Peter Kaiser] A rock mass classification system is intended to classify and characterize the rock masses, provide a basis for estimating deformation and strength properties, supply quantitative data for mine support estimation, and present a platform for communication between exploration, design and construction groups. In most widely used rock mass classification systems, such as RMR and Q systems, up to six parameters are employed to classify the rock mass. Visualization of rock mass classification systems in multi-dimensional spaces is explored to assist engineers in identifying major controlling parameters in these rock mass classification systems. Different visualization methods are used to visualize the most widely used rock mass classification systems. The study reveals that all major rock mass classification systems tackle essentially two dominant factors in their scheme, i.e., block size and joint surface condition. Other sub-parameters, such as joint set number, joint space, joint surface roughness, alteration, etc., control these two dominant factors. A series two-dimensional, three-dimensional, and multi-dimensional visualizations are created for RMR, Q, Rock Mass index RMi and Geological Strength Index (GSI) systems using different techniques. In this manner, valuable insight into these rock mass classification systems is gained. Springer, 2006 block volume nationallicence joint nationallicence jointed rock mass nationallicence multi-dimension nationallicence rock classification nationallicence visualization nationallicence Cai Ming Geomechanics Research Centre, MIRARCO, Laurentian University, Sudbury, Ontario, Canada aut Kaiser Peter Geomechanics Research Centre, MIRARCO, Laurentian University, Sudbury, Ontario, Canada aut Geotechnical & Geological Engineering Kluwer Academic Publishers 24/4(2006-08-01), 1089-1102 0960-3182 24:4<1089 2006 24 10706 https://doi.org/10.1007/s10706-005-7464-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10706-005-7464-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Cai Ming Geomechanics Research Centre, MIRARCO, Laurentian University, Sudbury, Ontario, Canada aut NATIONALLICENCE 700 1- Kaiser Peter Geomechanics Research Centre, MIRARCO, Laurentian University, Sudbury, Ontario, Canada aut NATIONALLICENCE 773 0- Geotechnical & Geological Engineering Kluwer Academic Publishers 24/4(2006-08-01), 1089-1102 0960-3182 24:4<1089 2006 24 10706 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer