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Strategy for consistent model parameter calibration for soft soils using multi-objective optimisation
Institution:1. Chalmers University of Technology, Department of Civil and Environmental Engineering, SE-412 96 Gothenburg, Sweden;2. Norwegian Geotechnical Institute, P.O. Box 3930, Ullevål Stadion, N-0806 Oslo, Norway;1. School of Civil Engineering, Wuhan University, Wuhan 430072, PR China;2. School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, PR China;1. Centre for Offshore Foundation Systems and ARC CoE for Geotechnical Science and Engineering, University of Western Australia, 35 Stirling Hwy, Crawley, Perth, WA 6009, Australia;2. Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering, Ocean University of China, 238 Songling Street, Qingdao 266100, China;3. Faculty of Science, Charles University in Prague, Albertov 3, 128 43 Praha, Czech Republic;1. Department of Geotechnical Engineering, Tongji University, 1239 Siping Road, Shanghai, China;2. Department of Civil and Architectural Engineering and Mechanics, The University of Arizona, Tucson, AZ 85721, USA;3. Department of Civil Engineering, Shanghai University, Shanghai 200444, China;1. Nagoya University, Department of Civil Engineering, Nagoya, Japan;2. Asanuma Corporation, Osaka, Japan
Abstract:Constitutive models for soft soils require a large number of parameters to model the complex material response. One set of parameters should capture the soil response for various laboratory & in situ stress paths. This requires a new method to calibrate a consistent set of model parameters using test data from different load paths of classic geomechanical tests. The feasibility of the proposed method is demonstrated with the recently developed CREEP-SCLAY1S model. After a sensitivity analysis that highlights the model parameters for optimisation, an optimisation process for two different configurations is designed. The latter is successfully verified against artificially generated laboratory data.
Keywords:Soft soil  CREEP-SCLAY1S  Sensitivity analysis  Multi-objective optimisation
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