岩质路堑边坡最大稳定开挖坡角分析方法  

Analysis Method of Maximum Stable Excavation Angle of Rock Slopes

作　　者：孙锡民[1] 夏元友[1] 蒋超[1] 卢小超[1] 

机构地区：[1]武汉理工大学土木工程与建筑学院

出　　处：《公路》2006年第1期50-52,共3页Highway

基　　金：教育部科学技术研究重点项目(104135);云南省交通建设科技项目(云交科教[2002]113号文;[2004]967号文)

摘　　要：以云南省祥临公路路堑边坡为背景,建立了基于BP神经网络的含软弱面岩质路堑边坡最大稳定开挖坡角的计算方法,确定了影响稳定开挖坡角的因素。根据祥临公路路堑边坡具体参数分布情况,通过正交方法设计了边坡案例,建立了计算最大稳定开挖坡角的人工神经网络模型;最后通过实例分析,证明这种计算模型作为一种计算边坡最大稳定开挖坡角简便途径的有效性和实用性。In this paper, a design method based on the Back Propagation artificial neural network （ANN） is established, which is used in the experience of the slopes of Xianglin road. The optimum stable excavation angle of a slope containing weak surfaces can be calculated with the method. The factors which influence the stable excavation angle of the rock slopes are worked out. The examples of the slopes are designed through orthogonal design way based on the parameter distribution of the slopes of Xianglin road. An ANN model used to calculate the optimum stable excavation angle of slopes is established. Last, efficiency and practicability of using the ANN model as a convenient way to calculate the maximum stable excavation angle is proved through the analysis of the examples of the road.

关 键 词：公路边坡 最大稳定开挖坡角 神经网络 

分 类 号：U416.1[交通运输工程—道路与铁道工程]