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A platform for research: civil engineering, architecture and urbanism
Strategy for consistent model parameter calibration for soft soils using multi-objective optimisation
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.
Strategy for consistent model parameter calibration for soft soils using multi-objective optimisation
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.
Strategy for consistent model parameter calibration for soft soils using multi-objective optimisation
Gras, Jean-Philippe (author) / Sivasithamparam, N / Karstunen, Minna / Dijkstra, Jelke
2017
Article (Journal)
English
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