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机构地区:[1]武汉大学水资源与水电工程科学国家重点实验室,武汉430072 [2]武汉大学水工岩石力学教育部重点实验室,武汉430072
出 处:《中国农村水利水电》2017年第10期110-114,119,共6页China Rural Water and Hydropower
基 金:国家自然科学基金项目(51409198)
摘 要:岩土体非饱和参数的确定是进行岩土体非饱和渗流分析的关键。考虑岩土体非饱和非稳定渗流过程中地下水位的动态变化,根据监测点水位变化数据,通过正交设计、非饱和渗流正分析、BP神经网络和遗传优化算法相结合的分析方法,确定了基于van Genuehten模型的岩土体持水特征曲线参数,较好地解决了岩土体非饱参数确定的困难。并以一次降雨过程中岩质边坡非饱和渗流场的动态变化为例,验证了该方法的可行性和可靠性。反演分析结果可为进一步分析降雨过程中岩土边坡强度及其稳定提供了依据。The unsaturated hydraulic properties of rock and soil are the key to the analysis of unsaturated seepage flow. A new approach tbr back analysis of the rock/soil unsaturated permeability parameters based on the unsaturated flow is developed by considering the transient unsaturated nature of the seepage flow in rocks and soils during the rainfall. The proposed method utilizing the measured boreholes is based on the orthogonal design, the finite element analysis of unsaturated flow, the BP (back propagation) neural network and the genetic algorithm. The back-calculated water heads are in good agreement with the measured results, and the back-calculated unsaturated permeability parameters are consistent with theoretical values, which demonstrates the effectiveness of the back-analysis method and the reliability of the back-calculated results. The back-calculated results provide a basis for further analysis of rock slope strength and its stability in rainfall process.
关 键 词:反演分析 非稳定 岩土体 非饱和参数 V-G模型
分 类 号:TV93[水利工程—水利水电工程]
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