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- W2732433148 abstract "Due to the complexity of natural ground condition, consolidation settlement is usually difficult to predict. In this study, a Pareto multi-objective optimization based back analysis method for consolidation settlement is presented in this study. The model is a coupled flow and deformation model for unsaturated soil foundation which is implemented in the interactive multiphysics software environment COMSOL. A multi-objective optimization algorithm AMALGAM is adopted to identify soil parameters based on multiple types of measurements. A case history of a highway trial embankment is used to demonstrate the proposed back analysis method. The observed displacement and pore-water pressures are utilized simultaneously to estimate the mechanical and hydraulic parameters of the soil. The results show that the bi-objective Pareto front exhibits a sharp rectangular pattern. When only displacement is used in back analysis, the numerical model with optimized soil parameters cannot simulate pore-water pressure very well, and vice versa. However, the back analyzed soil parameters of the compromise solution from the bi-objective back analysis can reasonably simulate both the displacement and pore-water pressure and predict the settlement well." @default.
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- W2732433148 date "2015-01-01" @default.
- W2732433148 modified "2023-09-23" @default.
- W2732433148 title "Parameter Identification of Consolidation Settlement Based on Multi-objective Optimization" @default.
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- W2732433148 doi "https://doi.org/10.3233/978-1-61499-580-7-394" @default.
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