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Intelligent Identification of High Rock-Filled Embankment Elastic-Plastic Model Parameters and Application

机译:高填石路堤弹塑性模型参数的智能识别及应用

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摘要

Based on the elastic-plastic model and the orthogonal design table, the ANSYS finite element method was combined with the BP neural network to establishe high rock-filled embankment constitutive model parameters inverse analysis method. According to the field monitoring settlement data of Hurongxi highway, the elastic-plastic model parameters of high rock-filled embankment were identified and the inversion parameters were used to calculate and analyze. Compared with the measured settlement, it was found that the calculated settlement were in good agreement with it. Therefore, the method is higher reliability.
机译:基于弹塑性模型和正交设计表,将ANSYS有限元方法与BP神经网络相结合,建立高填石路堤本构模型参数反分析方法。根据湖容西高速公路现场监测沉降数据,确定了高填石路堤的弹塑性模型参数,并利用反演参数进行了计算与分析。与实测沉降相比,计算出的沉降与实测吻合良好。因此,该方法具有较高的可靠性。

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