摘要
针对岩石高边坡稳定性评价是一个复杂的不确定问题,采用粒子群优化算法、投影寻踪法和逻辑斯谛曲线函数建立了岩石高边坡稳定性评价的粒子群优化投影寻踪模型(PSO-PP),并将其应用于锦屏一级水电站左岸拱肩槽边坡稳定性评价中。
The high rock slope stability evaluation is a complicated uncertain problem.A new model（PSO-PP） for high rock slope stability evaluation is established by using particle swarm optimization（PSO）,projection pursuit（PP） and logistic curve function（LCF）.And it is applied to evaluate the high rock slope stability on the left spandrel groove of Jinping I Hydropower Project.The results indicate that the model is reasonable and effective with higher accuracy.
出处
《水电能源科学》
北大核心
2011年第1期79-82,共4页
Water Resources and Power
基金
国家自然科学基金资助项目(50539110)
中央高校基本科研业务费基金资助项目(2010B03914)
关键词
边坡稳定性评价
粒子群
投影寻踪
逻辑斯谛曲线
锦屏左岸拱间槽边坡
slope stability evaluation
particle swarm optimization
projection pursuit
logistic curve function
slope on the left spandrel groove of Jinping project
