引水渠道边坡材料参数智能反演及稳定性动态分析

黄铭; 余舟; 刘旭

doi:10.13204/j.gyjzG21121316

引水渠道边坡材料参数智能反演及稳定性动态分析

doi: 10.13204/j.gyjzG21121316

合肥工业大学土木与水利工程学院, 合肥 230009

基金项目:

安徽省科技攻关计划项目（1604a0802106）。

详细信息

作者简介:
黄铭,男,1972年出生,博士,教授,博士生导师。电子信箱:Lsxhuangm@hotmail.com

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- 文章访问数: 100
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- 被引次数: 0
出版历程
- 收稿日期: 2021-12-13
- 网络出版日期: 2023-03-22

Intelligent Inversion for Material Parameters of Diversion Canal Slopes and Dynamic Stability Analysis

College of Civil Engineering, Hefei University of Technology, Hefei 230009, China

摘要

摘要: 利用有限元方法对引水渠道边坡进行数值模拟计算，将位移计算值和土体材料力学参数值代入径向基函数神经网络（RBF神经网络）的输入层和输出层进行训练，得到多层土体材料参数与位移之间的非线性关系，建立材料参数智能反演模型，根据不同时间的位移监测值反演得到了对应土体的力学参数，将反演得到的参数进行有限元正分析，验证反演模型的精确度。结合反演结果以有限元强度折减法计算引水渠道边坡不同时间的稳定性安全系数，研究边坡稳定性动态变化规律。
- 引水渠道边坡 /
- 多层材料 /
- 参数智能反演 /
- 强度折减法 /
- 安全系数 /
- 动态变化
Abstract: The finite element method was used to simulate diversion canal slopes. The calculated displacement values and soil material mechanical parameter values were substituted into the input layer and output layer of the RBF neural network for training. The nonlinear relation between material parameters of multi-layer soils and displacement was obtained, and an intelligent inversion model of material parameters was established. According to monitoring displacement values at different times, the corresponding soil mechanical parameters were obtained by inversion analysis, and the parameters were used for finite element analysis to verify the accuracy of the inversion model. Combined with the inversion results, the safety factor of stability for diversion canal slopes at any time was calculated by the strength reduction method of finite elements, and the dynamic change law of slope stability was studied.
- diversion canal slope /
- multi-layer material /
- intelligent inversion for parameter /
- strength reduction method /
- safety factor /
- dynamic change

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参考文献(16)

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