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作 者:唐少龙[1] 汪庆[1] 罗梓茗 熊威[1] 万小强[1] Tang Shaolong;Wang Qing;Luo Ziming;Xiong Wei;Wan Xiaoqiang(Jiangxi provincial Institute of Hydraulic and Science,Nanchang 330029,Jiangxi)
机构地区:[1]江西省水利科学研究院
出 处:《陕西水利》2019年第7期5-7,10,共4页Shaanxi Water Resources
摘 要:初始渗流场的确定是工程渗流控制措施评估的基础,而初始渗流场确定主要受渗透系数和边界水头的影响。根据坝址区渗透特性,以边界水头为反演对象采用正交设计、稳定渗流正分析、BP神经网络和遗传算法优化相结合方法分析计算孟底沟水电站坝址区三维天然渗流场分布特征,并与监测资料为目标对比进行验证。结果表明,采用所提方法计算所得钻孔水位与实测值较为接近,说明该方法在初始渗流场反演中具有较高精度,结果可作为孟底沟水电站渗控措施评估提供依据。The determination of the initial seepage field is the basis for the evaluation of the engineering seepage control measures, while the initial seepage field is determined mainly by the permeability coefficient and the boundary head. According to the permeability characteristics of the dam site, the boundary water head is used as the inversion object to analyze the distribution characteristics of the three-dimensional natural seepage field in the dam site of Mengdigou Hydropower Station by orthogonal design, stable seepage analysis, BP neural network and genetic algorithm optimization. And verify the comparison with the monitoring data for the target. The results show that the calculated water level of the borehole calculated by the proposed method is close to the measured value, which indicates that the method has higher precision in the initial seepage field inversion, and the results can be used as the basis for the evaluation of the seepage control measures of the Mengdigou Hydropower Station.
分 类 号:TV223.4[水利工程—水工结构工程]
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