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高堆石坝瞬变-流变参数三维全过程联合反演方法及变形预测

马刚 常晓林 周伟 花俊杰

岩土力学2012,Vol.33Issue(6):1889-1895,7.
岩土力学2012,Vol.33Issue(6):1889-1895,7.

高堆石坝瞬变-流变参数三维全过程联合反演方法及变形预测

Integrated inversion of instantaneous and rheological parameters and deformation prediction of high rockfill dam

马刚 1常晓林 2周伟 1花俊杰2

作者信息

  • 1. 武汉大学水资源与水电工程科学国家重点实验室,武汉430072
  • 2. 武汉大学水工岩石力学教育部重点实验室,武汉430072
  • 折叠

摘要

Abstract

Inversion parameters are used to calculate and predict long-term deformation of high concrete face rockfill dam (CRFD). Since the construction process and deformation mechanism of rockfill are complex, it is difficult to separate the instantaneous deformation and rheological deformation, and hence it is necessary to carry out the integrated inversion of static constitutive and rheological model parameters. Based on the measured displacement data, static constitutive and rheological model parameters sensitive to the deformation of rockfill dam are selected for inversion. Additionally, a modified particle swarm optimization algorithm (MPSO) based on particle migration and radial basis function neural network (RBF-ANN) are adopted. What is more, by using the trained neural network to describe the relationship between model parameters and displacements, shorts computing time of parametric inversion. The inversion result of Shuibuya CRFD shows that the calculated settlements agree well with the measured data; and dam deformation is within a reasonable range and tending towards stability.

关键词

堆石坝/参数反演/变形预测/改进粒群算法/RBF神经网络/双屈服面模型

Key words

rockfill dam/ parameter inversion/ deformation prediction/ MPSO/ RBF-ANN/ double-yield-surface model

分类

建筑与水利

引用本文复制引用

马刚,常晓林,周伟,花俊杰..高堆石坝瞬变-流变参数三维全过程联合反演方法及变形预测[J].岩土力学,2012,33(6):1889-1895,7.

基金项目

国家自然科学杰出青年基金(No.50725931) (No.50725931)

国家自然科学基金(No.50979082). (No.50979082)

岩土力学

OA北大核心CSCDCSTPCD

1000-7598

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