Research and application of rockburst intensity prediction model based on entropy coefficient and ideal point method
WANG Ying-chao
SHANG Yue-quan
SUN Hong-yue
YAN Xi-shui
Abstract：Based on the ideal point method, a model for predicting and classifying roekbursts was established. Consider-ing the key affecting factors of rockburst comprehensively, three factors were selected as evaluation indexes including the ratio of maximum tangential stress and rock uniaxial compressive strength, the ratio of compressive and tensile strength of rock and elastic energy index. The weight coefficients of these evaluation indexes were infirmed by the in-formation entropy theory. Finally,the model of rockburst classification based on the entropy and the ideal point method was applied to Cangling Tunnel. The research shows that the prediction results are in good agreement with practical sit-uation of rockburst and the prediction model is reliable.
Keywords：entropy coefficientideal point methodrockburstclassification predictionclose degreetunneling engi-neering
Publication Date：2010-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 218-221 )