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.
Based on the combination of the elasto-viscopiastic 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.
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2005年第5期94-98,103,共6页
Engineering Journal of Wuhan University
关键词
岩石边坡
人工智能
反馈分析
弹-粘塑性
有限单元法
rock slope
artificial intelligence
feedback analysis
elasto-viscoplasticity
finite element method
作者简介
傅少君（1969-），男，重庆市人，副教授，主要从事工程结构数值仿真计算方面的研究．
