Parameter Identification of Consolidation Settlement Based on Multi-objective Optimization

Parameter Identification of Consolidation Settlement Based on Multi-objective Optimization

Zheng, Y.F.
Zhang, L.L.
Zhang, J.

2015-10-15

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.

back-analysis
consolidation
settlement
multi-objective
optimization

http://resolver.tudelft.nl/uuid:fcd7ff9d-4b82-4568-b3ce-9b0ca807fbb9

https://doi.org/10.3233/978-1-61499-580-7-394

Conference proceedings

conference paper

(c) The Authors and IOS Press, Creative Commons CC-BY