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Cluster Computing

, Volume 20, Issue 4, pp 3225–3236 | Cite as

New deformation back analysis method for the creep model parameters using finite element nonlinear method

  • Lei Gan
  • Xinzhe Shen
  • Hongwei Zhang
Article

Abstract

Creep deformation of rockfill and overburden affect anti-seepage systems, such as face slabs, toe slabs, and peripheral joints, which may cause structural damage, particularly in a high concrete-faced rockfill dam (CFRD) on a deep overburden layer. The deformation mechanism of rockfills is complex. It is difficult to determine the creep deformation characteristics completely with creep test. Back analysis based on measured data inversion is an effective approach to study the long-term deformation characteristics of CFRD. In this paper, a new deformation back analysis method called MPSO-BP, which integrates a modified particle swarm optimization algorithm and neural network simulator, is presented to reverse the creep model parameters of Jiudianxia CFRD based on the plate load test, pressure test, and large-scale triaxial test. The creep model parameters of rockfill and overburden are applied to analyze and forecast the long-term deformation characteristics of the CFRD by using 3D nonlinear finite element numerical analysis method. Results show that the calculated creep deformations are agreed with the monitoring data. The back analysis method and the inversion parameters are demonstrated to be reasonable. The deformation of the CFRD tends to stabilize after the dam reservoir reaches its tenth year of operation.

Keywords

CFRD Creep model Deformation back analysis Monitoring data MPSO-BP Nonlinear FEM 

Notes

Acknowledgements

This work was supported by CRSRI Open Research Program, the Projects of National Natural Science Foundation of China (Grant No. 51609073), the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD), the Fundamental Research Funds for the Central Universities (No. 2014B11914), and the Water Conservancy Science and Technology Project of Jiangxi Province (No. KT201545).

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.State Key Laboratory of Hydrology-Water Resources and Hydraulic EngineeringHohai UniversityNanjingChina
  2. 2.Changjiang River Scientific Research Institute of Changjiang Water Resources CommissionWuhanChina

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