工程岩爆灾害判别的RBF-AR耦合模型  

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

作　　者：王羽[1,2] 许强[2] 柴贺军[3] 刘丽[1] 夏毓超[1] 王晓东[1] 

机构地区：[1]重庆交通大学国际学院,重庆400074 [2]成都理工大学地质灾害防治与地质环境保护国家重点实验室,成都610059 [3]招商局重庆交通科研设计院有限公司,重庆400067

出　　处：《吉林大学学报（地球科学版）》2013年第6期1943-1949,1965,共8页Journal of Jilin University：Earth Science Edition

基　　金：交通运输部建设科技项目(2013318814180);地质灾害防治与地质环境保护国家重点实验室开放基金(SKLGP2010K010)

摘　　要：岩爆是深部高地应力区地下岩体工程中的主要工程地质灾害之一,其发生及烈度预测是一个复杂的不确定系统问题。为了有效预测和判别深部工程岩爆灾害,在总体考虑岩爆各影响因素的基础上,选取地下工程中岩体完整性指数、岩石单轴抗压强度、岩石单轴抗拉强度、围岩最大切向应力、围岩抗压强度与其抗拉强度的比值、围岩切向应力与围岩抗压强度比值、弹性能量指数、岩爆倾向性指数作为岩爆预测的评判指标,提出了一种基于非线性参数优化的RBF-AR岩爆预测模型。在终南山隧道竖井岩爆判别中,利用RBF-AR法进行计算,计算结果与实际情况完全一致,表明该模型在岩爆预测中的可行性和有效性。Rock engineering in deep burst is one of the main engineering zone with high ground stresses. The pre systematic problem of uncertainty. In order to engineering, based on consideration of all rock bu indexes of rock burst such as the integrity index surrounding rock, rock uniaxial tensile strength of predict geological hazards of underground rock diction of rock burst intensity is the occurrence of rock burst rst factors, selecting several factors as of the rock mass, uniaxial compressive rock, maximal tangential stress of rock, uniaxial compressive strength and uniaxial tensile st tangential stress and uniaxial compressive strength tendency index, a was put forward. tunnel ventilation rength of rock, the ratio of surroundi of nonlinear parameter optimization mode The RBF- AR model has applied in roc shaft and the result is very close to the a complex the judging strength of the ratio of ng maximal rock, elasticity energy index and rock burst I for rock burst predicting based on RBF- AR k burst predicting calculation of Zhongnanshan actual situation. It indicates that the model is feasible and effective for rock burst prediction.

关 键 词：隧道 岩爆 通风竖井 RBF—AR模型 围岩 

分 类 号：TU457[建筑科学—岩土工程]