摘要
提出了基于离散元法和神经网络的集成优化设计方法.离散元法能充分考虑边坡岩体结构的不连续性,处理边坡的大变形情况;神经网络是从实例中获取经验知识,并用之解决问题的智能系统.该方法从两条途径、不同的角度、不同的侧面来设计边坡角,并进行优化。
This paper proposes an integrated optimal design method,based on discrete element calculation and neural network estimation. In the discrete element method,large deformation and discontinuities of rockmass structures in slope are fully considered. In neural network model,estimating knowledge of slope angle is acquaired from case histories and used to design slope angles of new slopes. In these two waye and from different points,this new method can give an optimal slope angle with high feasibility.
出处
《东北大学学报(自然科学版)》
EI
CAS
CSCD
1996年第5期470-474,共5页
Journal of Northeastern University(Natural Science)
基金
国家"八五"科技攻关项目
国家教委博士点基金
关键词
边坡角
优化设计
露天矿
稳定性
discrete element method,neural network,slope angle,optimal design.