I am happy to announce that our pre-print paper, “Multi-objective analysis of the Sand Hypoplasticity model calibration”, is available on researchgate (https://www.researchgate.net/publication/369199567_Multi-objective_analysis_of_the_Sand_Hypoplasticity_model_calibration) and Axive (https://doi.org/10.48550/arXiv.2303.07234).

In this work, we study the SH model calibration over a wide range of testing conditions using 12 OE and 25 CD tests by Wichtmann and Triantafyllidis (2016) on the Karlsruhe sands. The parameter space is extensively explored via Genetic Algorithm Optimization (GA) using the recently developed open-source software GA-cal (available at https://github.com/FraJoMen/GA-cal). This exploration allowed us to study the SH model’s predictive limits and to identify, using a multi-objective analysis, the main parameters governing the compromise between the accurate prediction of stresses versus strain in the CD tests


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