Back analysis of earthquake-induced permanent deformation parameters of earth-rock dams

WANG Xu; KANG Fei; LI Jun-jie

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Back analysis of earthquake-induced permanent deformation parameters of earth-rock dams

更新时间：2026-06-25

- Back analysis of earthquake-induced permanent deformation parameters of earth-rock dams
- Vol. 35, Issue 1, (2014)
- 作者机构：
  
  大连理工大学水利工程学院,辽宁,大连,116024
- 作者简介：
- 基金信息：
- DOI：
  CLC： TU443
- Online First：14 January 2014，
  
  Published：2014
- 稿件说明：
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WANG Xu, KANG Fei, LI Jun-jie. Back analysis of earthquake-induced permanent deformation parameters of earth-rock dams[J]. 2014, 35(1).
DOI：

WANG Xu, KANG Fei, LI Jun-jie. Back analysis of earthquake-induced permanent deformation parameters of earth-rock dams[J]. 2014, 35(1). DOI：

摘要

提出了一种基于径向基网络的土石坝永久变形参数反演分析模型。该模型充分利用了径向基神经网络的非线性映射能力，只需要进行少量的样本设计，即可反演坝体永久变形参数，可以解决土石坝动力参数反演计算耗时长的问题。同时在对永久变形参数进行灵敏度分析的基础上，建立考虑参数灵敏度的网络训练目标函数，进一步提高了反演精度。将所建立的模型用于紫平铺面板堆石坝地震永久变形参数反演，采用三维有限元法进行静动力分析，并采用改进的沈珠江模型计算坝体地震永久变形。结果表明，反演参数计算的大坝地震永久变形和坝体实测永久变形数值接近，趋势一致，因而所建立的模型能够有效地反演坝体地震永久变形参数，为土石坝的动力参数反演提供了一种简便、有效的方法。

Abstract

A back analysis model based on radial basis function networks is proposed for permanent deformation parameters of earth-rock dams. The model makes good use of the nonlinear mapping capability of the radial basis function networks. It can back-analyze the permanent deformation parameters of earth-rock dams with just a small amount of sample designs

and long computational time for inversion is not needed. Meanwhile

based on the sensitivity analysis of permanent deformation parameters

an objective function for network training is established by considering parameter sensitivity

which improves the inversion accuracy further. The model is illustrated on Zipingpu concrete-faced rockfill dam (CFRD). Three-dimensional finite element method is adopted for static and dynamic analysis

and the earthquake-induced permanent deformation is calculated with improved Shen Zhujiang model. The results show that the earthquake-induced permanent deformations calculated by inversion parameters are very close to the actual values. The proposed model is efficient in back-analysis of earthquake-induced permanent deformation parameters of earth-rock dams.

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