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基于人工神经网络的非线性映射特性 ,在三维渗流有限元计算的基础上 ,结合水头和渗流量等安全监测资料 ,提出了大坝渗透系数的反演方法 .作为实例 ,结合某土石坝的安全监测资料 ,利用该方法反演得出了大坝坝体的渗透系数、坝基的平均渗透系数和两岸岩体的平均渗透系数 .并利用反演成果进行了大坝渗流场分析 ,计算结果与安全监测资料相吻合
Based on the nonlinear mapping characteristics of artificial neural network, based on the three-dimensional finite element calculation of seepage flow and the safety monitoring data such as water head and seepage flow, the inversion method of dam permeability coefficient is proposed. As an example, combining with the safety of an earth-rock dam Monitoring data, using the method of inversion of the dam’s permeability coefficient, the average permeability coefficient of the dam foundation and the average permeability coefficient of the two sides of the rock mass.And using the inversion results of the dam seepage field analysis, the calculation results and safety Monitoring data match