In order to overcome subjective and erroneous tendency problems existing in expert determination methods in assessment of classification for rock mass quality, an attribute recognition model for rock mass quality classification criterion is established based on the entropy weight theory which can confirm the relevant entropy coefficients of evaluation indexes and combines the attribute recognition theory. The model chooses rock uniaxial compressive strength, RQD, structural face interval, friction coefficient, rock drilling speed and acoustic velocity of rock mass as the comprehensive evaluation indexes. The paper takes seven stopes of Sanshan island gold mine as the research background to develop the model. And it has successfully given an attribute measure for each index based on its weight, and obtained the ranking and classification of rock quality according to the criterions of confidence degree and rating. The result shows that the attribute recognition results are more accurate than those of RMR method, and that the evaluation results are objective and reliable.
LIU Zhixiang
,
WU Diemei
,
TANG Zhixiang
. Quality Classification of Rock Mass Based on Attribute Recognition Model of Entropy Weight[J]. Science & Technology Review, 2014
, 32(22)
: 52
-56
.
DOI: 10.3981/j.issn.1000-7857.2014.22.008
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