Authors: M.A. Vlasov, S.M. Prostov, M.V. Sokolov
Title of the article: Selection of rational parameters of the geomechanical model of the soil foundation of the structure in the PLAXIS 3D PC
Year: 2023, Issue: 5, Pages: 4-14
Branch of knowledge: 1.6.9. Geophysics, geophysical methods of prospecting for minerals
Index UDK: 624.131.7
DOI: 10.26730/1999-4125-2023-5-4-14
Abstract: Sufficient accuracy of calculation of stress-strain state of inhomogeneous soil foundations of structures, including the use of technologies for controlling physical and mechanical properties of soils, is possible only by means of application of software systems implemented by the finite element method. Based on the analysis of the results of forecasting the precipitation of structures according to geomechanical modeling data using specialized software systems Plaxis, ANSYS, FLAC, FEMmodels, GeoSoft, midas GTS, Z-soil, etc., the goal is to provide rational parameters of similar models. The criteria of minimal error of foundation settlement calculation in comparison with the reference calculation using the Mohr-Coulomb model were applied. On the basic model with a stamp of a single size, linear regression dependences between the transverse dimensions and the optimal height are established, at which the error of geological calculations does not exceed 5%. Certain geometric parameters should adjusted proportionally to the real load on the foundation and inversely proportional to the modulus of soil deformation. The developed general algorithm for determining the rational parameters of the geomechanical model, focused on the functional features of the Plaxis 3D software package, includes setting initial geometric parameters of the model according to the established dependencies, their subsequent adjustment taking into account the real geometry of the foundation, the load on it and the deformation properties of soils, checking the model for stability.
Key words: soil foundation of the structure stress-strain state foundation sediment finite element method minimum calculation error regression dependence computer mathematical model
Receiving date: 21.10.2023
Approval date: 20.11.2023
Publication date: 30.11.2023
This work is licensed under a Creative Commons Attribution 4.0 License.