Numerical scheme for solving the soil-water coupling problems based on finite volume method with unstructured mesh

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Science Pub Date : 2025-02-01 DOI:10.1016/j.jocs.2025.102526
Xiaohui Su , Mingliang Zhang , Degao Zou , Yong Zhao , Jiantao Zhang , Haoyang Su
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Abstract

In this paper, a novel matrix-free finite volume (FV) numerical scheme with unstructured mesh is proposed for simulating unsaturated seepage-stress coupling problems in earth science. The proposed model solves Richards Equation (RE) for unsteady unsaturated infiltration flow and Cauchy Equation (CE) for soil dynamics. A universal finite volume (FV) numerical scheme is developed for solving the governing equations mentioned above with unstructured mesh. The techniques of matrix-free and fully implicit time stepping algorithm are utilized in the numerical discretization in order to avoiding for the calculation and storage of large matrices. The new model is assessed and evaluated by benchmarks and test infiltration cases. Comparing with the solutions of commercial software packages called GEO-Studio and AutoBANK, the accuracy of the proposed model is assessed and verified. A slope infiltration simulation case is carried out as the engineering application of the current model at last. With the advantage of novel numerical scheme and high accuracy, the proposed model shows its potential value in engineering application.
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来源期刊
Journal of Computational Science
Journal of Computational Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
5.50
自引率
3.00%
发文量
227
审稿时长
41 days
期刊介绍: Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation. This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: • Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).
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