Mathematical Model of Three-Component Suspension Transport
https://doi.org/10.23947/2587-8999-2023-7-3-39-48
Abstract
Introduction. Prediction of suspension deposition zones is required to assess and minimize the negative impact on the ecosystem of the reservoir during dredging within the framework of large-scale engineering projects, prediction of suspension deposition zones is required to assess and minimize the negative impact on the ecosystem of the reservoir. It is necessary to build a mathematical model that takes into account many factors that have a significant impact on the accuracy of forecasts. The aim of the work is to construct a mathematical model of transport of multicomponent suspension, taking into account the composition of the soil (different diameter of the suspension particles), the flow velocity of the water flow, the complex geometry of the coastline and bottom, wind stresses and friction on the bottom, turbulent exchange, etc.
Materials and Methods. A mathematical model for the transport of a multicomponent suspension and an approximation of the proposed continuous model with the second order of accuracy with respect to the steps of the spatial grid are described, considering the boundary conditions of the Neumann and Robin type. The approximation of the hydrodynamics model is obtained based on splitting schemes by physical processes, which guarantee fulfillment mass conservation for discrete model.
Results. The proposed mathematical model formed the basis of the developed software package that allows to simulate the process of sedimentation of a multicomponent suspension. The results of the work of the software package on the model problem of sedimentation of a three-component suspension in the process of soil dumping during dredging are presented.
Discussions and Conclusions. The mathematical model of transport of three-component suspension is described and software implemented. The developed software allows to simulate the process of deposition of suspended particles of various diameters on the bottom, and to evaluate its effect on the bottom topography and changes in the bottom composition. The developed software package also allows to analyze the process of sediment movement in the case of resuspension of multicomponent bottom sediments of the reservoir, which causes secondary pollution of the reservoi
Keywords
About the Authors
A. I. SukhinovRussian Federation
Corresponding Member of the Russian Academy of Sciences, Doctor of Physical and Mathematical Sciences, Professor, Director of the Research Institute for Mathematical Modeling and Forecasting of
Complex Systems
1, Gagarin Square, Rostov-on-Don
I. Yu. Kuznetsova
Russian Federation
Senior Lecturer of the Department of Intelligent and Multiprocessor Systems, SIC Supercomputers and Neurocomputers
1, Gagarin Square, Rostov-on-Don
106, Italian Lane, Taganrog
References
1. Matishov GG, Ilyichev VG. On optimal exploitation of water resources. The concept of internal prices. Reports of the Academy of Sciences. 2006;406(2):249–251. (In Russ.).
2. Kovtun II, Protsenko EA, Sukhinov AI, et al. Calculating the Impact on Aquatic Resources Dredging in the White Sea. Fundamental and Applied Hydrophysics. 2016;9(2):27–38. (In Russ.).
3. Sukhinov AI, Chistyakov AE, Atayan AM, et al. Mathematical model of process of sedimentation of multicomponent suspension on the bottom and changesin the composition of bottom materials, Izvestiya Instituta Matematiki i Informatiki Udmurtskogo Gosudarstvennogo Universiteta, 2022;60:73–89. (In Russ.). https://doi.org/10.35634/2226-3594-2022-60-05
4. Sukhinov AI, Kuznetsova IYu, Chistyakov AE. Study of the accuracy and applicability of the difference scheme for solving the diffusion-convection problem at large grid péclet numbers. Computational Сontinuum Mechanics. (In Russ.). https://doi.org/10.7242/1999-6691/2020.13.4.34
5. Kuznetsova IYu, Sukhinov AI, Chistyakov AE, et al. Mathematical model of hydrodynamics of estuarine areas. Proceedings of the International scientific conference “Actual problems of applied Mathematics, computer science and Mechanics”. 2021:960–965. (In Russ.).
6. Samarskiy AA, Vabishevich PN. Numerical methods for solving convection-diffusion problems. Moscow: URSS. 2009:248. (In Russ.).
7. Samarskiy AA, Nikolaev ES. Methods for solving grid equations. Moscow: Nauka. 1978:592. (In Russ.).
8. Belotserkovsky OM, Gushchin VA, Schennikov VV. Splitting method applied to solving problems of dynamics of viscous incompressible fluid. Journal of Computational Mathematics and Mathematical Physics. 1975;15(1):197–207. (In Russ.). https://doi.org/10.1016/0041-5553(75)90146-9
9. Tikhonov AN, Samarskiy AA. Equations of mathematical physics. 7th ed. Moscow: Nauka: Moscow University Press, 2004:798. (In Russ.).
Review
For citations:
Sukhinov A.I., Kuznetsova I.Yu. Mathematical Model of Three-Component Suspension Transport. Computational Mathematics and Information Technologies. 2023;7(3):39-48. https://doi.org/10.23947/2587-8999-2023-7-3-39-48