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龙滩水电站9号机进水口边坡反馈分析
引用本文:傅少君,陈胜宏.龙滩水电站9号机进水口边坡反馈分析[J].武汉大学学报(工学版),2005,38(5):94-99.
作者姓名:傅少君  陈胜宏
作者单位:1. 武汉大学土木建筑工程学院,湖北,武汉,430072
2. 武汉大学水利水电学院,湖北,武汉,430072
摘    要:以龙滩水电站9号机进水口边坡为例,针对高边坡施工期的工程特点,模拟施工进程以及各种施工措施,以弹-粘塑性有限单元方法为基础,利用人工智能方法建立了力学参数的联合位移反分析模型,反演了进水口边坡岩体的综合力学参数,在此基础上进行了边坡变形及稳定性的实时跟踪预报,为工程设计优化和信息化施工提供了重要的参考依据.

关 键 词:岩石边坡  人工智能  反馈分析  弹-粘塑性  有限单元法
文章编号:1671-8844(2005)05-094-05
修稿时间:2004年10月20

Feedback analysis of intake slope of units No.9 at Longtan Hydropower Project
FU Shao-jun,CHEN Shen-hong.Feedback analysis of intake slope of units No.9 at Longtan Hydropower Project[J].Engineering Journal of Wuhan University,2005,38(5):94-99.
Authors:FU Shao-jun  CHEN Shen-hong
Affiliation:FU Shao-jun~1,CHEN Shen-hong~2
Abstract:Based on the combination of the elasto-viscoplastic finite element method and artificial neural networks,a model of back analysis of the mechanical parameters of slope is established.The intake slope of generator unit No.9 of Longtan Hydropower Project is studied,it is being excavated.Construction procedure and anchor measures are simulated effectively;the relative mechanical parameter of rock is back analyzed;the real time forecast of deformation and stability of the rock slope are realized by this model according to monitor displacements.Most of research results are taken as the references for the optimization of design and information construction in the practical engineering.
Keywords:rock slope  artificial intelligence  feedback analysis  elasto-viscoplasticity  finite element method
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