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Back-analysis of soil parameters of the Malutang II concrete face rockfill dam using parallel mutation particle swarm optimization
Institution:1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;2. College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China;3. Department of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China;1. Dept. of Regional Infrastructure Engineering, Kangwon National University, Chuncheon-si, Gangwon-do 200-701, Republic of Korea;2. Engineering and Construction Group, Samsung C&T, Seoul, Republic of Korea;3. Institute for Advanced Construction Materials, Kangwon National University, Chuncheon-si, Gangwon-do, Republic of Korea;4. Korea Water Resources Corporation, Daejeon, Republic of Korea
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.
Keywords:Earth-rockfill dam  Back-analysis  Parallel algorithm  Mutation particle swarm optimization
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