Intelligent analysis of rheological characteristic of rock materials
Yang, Chengxiang2; Feng, Xia-Ting1,2; Chen, Bing-Rui2; Zhou, Hui1
2006
会议日期MAY 09-12, 2006
会议地点Liege, BELGIUM
DOI10.1201/9781439833469.ch38
页码275
英文摘要This paper presents two new hybrid algorithms to identify visco-elastic models of rock masses such as pattern search method to identify the model structure and its coefficients from laboratory testing data of the rheological behaviors of rock and evolutionary neural network algorithm to recognize the visco-elastic parameters of the rheological model of rock masses using the field measured displacement data at the tunnel. The latter was developed based on the study of the former. The method has been used to recognize the models for celadon argillaccous rock and fuchsia argillaceous rock. The convergent velocity of the algorithm and uniqueness of the model were also analyzed and compared. Applicability of the recognized models was also verified by using them to analyze the long term stability of rock mass in the field with a comparison of the measured displacement later. Finally, the entire process of recognition and long term stability of the tested tunnel at Goupitan Hydropower project, China, was studied.
会议录EUROCK 2006 MULTIPHYSICS COUPLING AND LONG TERM BEHAVIOUR IN ROCK MECHANICS
会议录出版者TAYLOR & FRANCIS LTD
会议录出版地LONDON
语种英语
WOS研究方向Geochemistry & Geophysics ; Engineering
WOS记录号WOS:000242969900038
内容类型会议论文
源URL[http://119.78.100.198/handle/2S6PX9GI/4410]  
专题岩土力学所知识全产出_会议论文
岩土力学所知识全产出
作者单位1.Chinese Acad Sci, Inst Rock & Soil Mech
2.Northeastern Univ, Sch Resources & Civil Engn ;
推荐引用方式
GB/T 7714
Yang, Chengxiang,Feng, Xia-Ting,Chen, Bing-Rui,et al. Intelligent analysis of rheological characteristic of rock materials[C]. 见:. Liege, BELGIUM. MAY 09-12, 2006.
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