Geotechnics, Vol. XIV, No. 1/2022
Bortsov D.A., Mirnyy A.Yu.
Bortsov D.A., Mirnyy A.Yu., 2022. Nonlinear soil models calibration for describing the mechanical behavior of jurassic clay. Geotechnics, Vol. XIV, No. 1, pp. 16–28, https://doi.org/10.25296/2221-5514-2022-14-1-16-28.
Modern computational methods in geotechnics allow calculations using nonlinear models of mechanical behavior. These models include a large number of parameters, which cannot always be defined directly, and there is no reference data. In such cases, the developers of models and computational software systems recommend determining the values by selecting and comparing the simulation with experimental data (calibration). When selecting the nonlinear model parameters, the main task of the operator is to ensure the best approximation to the experimental curves obtained under the same stress-strain state. This operation can be performed manually or using an optimization algorithm, but there are no objective quality indicators: the evaluation is carried out subjectively by the user. Regardless of the specific type of test and model, it is necessary to reliably reproduce elastic deformation, plastic deformation during both shear and volumetric compression. For most soils, a description of the transition to hardening, and in some cases, softening, is required. In addition, reliable reproduction of the tensile strength by the model is necessary. The choice of a model and its parameters requires high qualifications from the user, both in terms of understanding the processes prevailing at each stage of the test, and the functionality of a specific model. This paper attempts to provide general recommendations for the analysis of experimental dependencies, which allows choosing the optimal model for subsequent calculation.
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DANIIL A. BORTSOV*
Lomonosov Moscow State University; Moscow, Russia; danjgt@rambler.ru
Address: Bld. 1, Leninskie Gory, 119991, Moscow, Russiа
ANATOLY YU. MIRNYY
Lomonosov Moscow State University; Moscow, Russia; MirnyyAY@mail.ru