摘要
针对边坡稳定性影响因素复杂,传统的稳定性分析存在计算量大、计算过程复杂的问题,提出了边坡稳定性的支持向量机预测方法。分析了边坡稳定性的影响因素,选择影响边坡稳定性的边坡重度、内聚力、摩擦角、边坡角、边坡高度、孔隙压力比6项指标为特征向量。并运行该方法对典型边坡实例进行了预测,预测结果与边坡稳定性实际状态及其它方法预测结果相吻合,表明了支持向量机在边坡稳定性预测中的可靠性和有效性。
The method of support vector machines was applied in the prediction of the slope stability in order to solve the problems such as the complexity of slope stability factors and the hugeness of computation workload by the traditional slope stability analysis method. The impact factors of slope stability were analysised, then six indicators, which include slope gravity, cohesion force, friction angle, slope angle, slope height and pore pressure ratio, were used in slope stability analysis and choosed as characteristic vector. Typical project examples were forecasted in the aspect of slope stability by support vector machines. The slope stability prediction results by SVM coincided with not only the actual status, but also the results by other methods of prediction. It showed that support vector machine prediction of slope stability are reliability and effectiveness.
出处
《中国安全生产科学技术》
CAS
北大核心
2009年第4期101-105,共5页
Journal of Safety Science and Technology
基金
江西省教育厅资助项目:GJJ09240
赣教技字[2007]212号
关键词
边坡稳定性
支持向量机
预测
slope stability
support vector machines
prediction
