摘要
提出了一种滑坡加固方案优化的新方法———支持向量机方法。在极限平衡法结合有限单元法的基础上 ,构造出一定数量的加固方案 ,并分别分析其治理后的稳定性和工程造价 ,以此为学习样本 ,建立设计参数与稳定性及加固方案造价之间的非线性映射关系 ,利用遗传算法在全局范围内快速地搜索出最优的设计参数 ,优化选择合理滑坡加固方案。
A new method supportig vector machine is presented for optimizing the schemes of landslide solidification. The limit equilibrium method combined with the finite element method to form some schemes of slope solidification. The stability and cost of the slopes harnessed using the schemes are evaluated, respectively. As an examples, the non-linear relationship of designing parameters with safety factors and engineering costs are established. Through genetic algorithm, the optimum designing parameters were searched out in the whole spectrum, achieving optimization of the schemes of landslide solidification. This method provides a new ways for landslide harnessing.
出处
《矿冶工程》
CAS
CSCD
北大核心
2004年第2期13-15,19,共4页
Mining and Metallurgical Engineering
关键词
滑坡
加固
优化设计
支持向量机
遗传算法
landslide solidification
optimum design
support vector machine
genetic algorithm
