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以落石的水平运动距离、弹跳高度和运动能量3个运动特征参数为目标,引入正交试验法对其影响因素进行了敏感性分析及其较不利因素水平组合研究。然后选取影响落石运动特征参数的5个因素为影响因子建立数据样本集,引入支持向量机方法建立落石预测系统对岩质边坡落石运动特征参数进行了预测。最后结合工程实例对预测系统进行了验证。本文研究结果表明:正交试验方法可以确定影响落石运动特征参数的主次因素及较不利因素水平组合;基于支持向量机(Support Vector Machine,SVM)的预测系统不需要进行Rockfall软件的建模计算过程,就可以估算出岩质边坡落石的运动特征参数,方便快捷。
Taking the three parameters of horizontal movement distance, bouncing height and exercise energy of rockfall as goal, orthogonal test was used to analyze the sensitivity of the influencing factors and the combination of the factors of unfavorable factors. Then, five factors affecting the characteristics of rockfall movement were selected to establish data sample sets for influencing factors. The support vector machine method was used to establish the rockfall prediction system to predict the rockfall movement parameters of rock slope. Finally, the forecasting system is validated with engineering examples. The results of this study show that the orthogonal test method can determine the primary and secondary factors and the unfavorable factors that affect the characteristics of rockfall movement. The prediction system based on Support Vector Machine (SVM) does not need to do the modeling calculation of Rockfall software Process, you can estimate the rock slope rock movement parameters, convenient and quick.