摘要
坝土料力学指标是土石坝安全稳定分析的重要依据,其传统获取方法为实验法。在分析土料物理-力学指标相关性的基础上,尝试采用RBF神经网络模型,以不同物理指标组合为输入因子,力学指标为输出项。通过模型训练、测试样本检验,结果表明RBF神经网络预测力学指标其方法是可行的。
The mechanical indexes of dam materials,acquired by experimentation,are analyzed if the dam is steady-going.On the basis of the relativity between physical and mechanical indexes,this paper is an attempt to acquire it with RBF neural networks,in which varying combinations of physical indexes are input and the mechanical indexes are output.It is proved to be feasible by model training and testing sample verification.
出处
《中国农村水利水电》
北大核心
2010年第6期121-123,共3页
China Rural Water and Hydropower
基金
云南省教育厅自然科学基金项目(07C11732)
