工程岩爆灾害判别的RBF-AR耦合模型

Abstract

Abstract:

Rock burst is one of the main engineering geological hazards of underground rock engineering in deep zone with high ground stresses. The prediction of rock burst intensity is a complex systematic problem of uncertainty. In order to predict the occurrence of rock burst in tunnel engineering, based on consideration of all rock burst factors, selecting several factors as the judging indexes of rock burst such as the integrity index of the rock mass, uniaxial compressive strength of surrounding rock, rock uniaxial tensile strength of rock, maximal tangential stress of rock, the ratio of uniaxial compressive strength and uniaxial tensile strength of rock, the ratio of surrounding maximal tangential stress and uniaxial compressive strength of rock, elasticity energy index and rock burst tendency index, a nonlinear parameter optimization model for rock burst predicting based on RBF-AR was put forward. The RBF-AR model has applied in rock burst predicting calculation of Zhongnanshan tunnel ventilation shaft and the result is very close to the actual situation. It indicates that the model is feasible and effective for rock burst prediction.

Key words: tunnel, rock burst, ventilation shaft, RBF-AR model, surrounding rock

CLC Number:

TU457

Wang Yu,Xu Qiang,Chai Hejun,Liu Li,Xia Yuchao,Wang Xiaodong. Rock Burst Prediction in Deep Shaft Based on RBF-AR Model[J].Journal of Jilin University(Earth Science Edition), 2013, 43(6): 1943-1949.

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Rock Burst Prediction in Deep Shaft Based on RBF-AR Model

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