Current position: Home >> Scientific Research >> Paper Publications

Back-analysis of soil parameters of the Malutang II concrete face rockfill dam using parallel mutation particle swarm optimization

Release Time:2019-03-09  Hits:

Indexed by: Journal Article

Date of Publication: 2015-04-01

Journal: COMPUTERS AND GEOTECHNICS

Included Journals: Scopus、EI、SCIE

Volume: 65

Page Number: 87-96

ISSN: 0266-352X

Key Words: Earth-rockfill dam; Back-analysis; Parallel algorithm; Mutation particle swarm optimization

Abstract: Deformation control is a central problem in earth-rockfill dam design. The finite element method (FEM) is the primary method used to analyze and predict the deformation of earth-rockfill dams. The parameters of the constitutive model of soil used in earth-rockfill dams determine the FEM analysis results. Using prototype monitoring displacements, the soil parameters of the Malutang II concrete face rockfill dam were back-analyzed using parallel mutation particle swarm optimization. The calculated displacements of the back-analyzed soil parameters are consistent with the prototype monitoring results. The parallel mutation particle swarm optimization has a high optimization rate and can be used in large-scale practical engineering applications. The back-analysis results indicate that the deformation moduli of rockfills in the Malutang II are affected by construction situ. (C) 2014 Elsevier Ltd. All rights reserved.

Prev One:考虑细观单粒强度的堆石料破碎特性研究

Next One:粗粒土剪切过程中的颗粒破碎研究