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冲击地压的滑块模型研究
引用本文:尹光志,代高飞,皮文丽,李东伟.冲击地压的滑块模型研究[J].岩土力学,2005,26(3):359-364.
作者姓名:尹光志  代高飞  皮文丽  李东伟
作者单位:1. 重庆大学,西南资源开发及环境灾害控制工程教育部重点实验室,重庆,400044
2. 重庆大学,西南资源开发及环境灾害控制工程教育部重点实验室,重庆,400044;同济大学,地下建筑与工程系,上海,200092
基金项目:国家自然科学基金资助项目(No.50374084),高等学校重点实验室访问学者基金资助,中国博士后科学基金资助项目(No.2003033334)
摘    要:冲击地压具有典型的粘滑特性,用(Ruina,1983 年)双状态变量模型(Two State Variable Model, TSVM)可以很好地模拟冲击地压的这一特性。在分析冲击地压系统的运动特性的基础上,根据冲击地压发生的力学和地质条件,研究了用双状态变量本构模型来模拟冲击地压的动力学和演化行为。分析表明:模型中参数 K,β对冲击地压系统动力学行为和状态变量演化行为贡献较大,而系统动力学和演化行为对? , f 初值的敏感性相对较低。模型模拟了冲击地压系统的粘滑特性和冲击地压系统的动力失稳过程,较好地解释了冲击地压发生机理,为冲击地压失稳破坏的预测预报提供了理论依据。

关 键 词:冲击地压  双状态变量模型  动力学行为  演化行为
文章编号:1000-7598-(2005)03-0359-06
收稿时间:2003-12-02
修稿时间:2003年12月2日

Study on rock burst using stick slip model
YIN Guang-zhi,DAI Gao-fei,PI Wen-li,LI Dong-wei.Study on rock burst using stick slip model[J].Rock and Soil Mechanics,2005,26(3):359-364.
Authors:YIN Guang-zhi  DAI Gao-fei  PI Wen-li  LI Dong-wei
Institution:1. Key Laboratory of the Exploitation of Southwest Resources & the Environmental Hazards Control Engineering, Ministry of Education, Chongqing University, Chongqing 400044, China; 2. Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China
Abstract:Rockburst is provided with the representative slip characters and the two state variable model could simulate the characters very well. On the study of the dynamics behavior of rockburst system, according to mechanics conditions and geological circumstances of rockburst, the two state variable model is introduced to describe the dynamics behavior and evolvement behavior of rockburst. The research shows that the parameters k and β greatly affected the dynamics behavior and evolvement behavior of rockburst; and , f contributed much to the model also. This model well simulated the stick-slip character relative to single state variable model. And the two state variable model truly describes the process of failure of rockburst system which explains the mechanism of rockburst and provides the theoretical foundation to forecast rockburst.
Keywords:rockburst  two state variable model (TSVM)  dynamics behavior  evolvement behavior
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