A MIXED FINITE ELEMENT-CHARACTERISTIC MIXED VOLUME ELEMENT AND CONVERGENCE ANALYSIS OF DARCY-FORCHHEIMER DISPLACEMENT PROBLEM
A mixed finite element-characteristic mixed volume element is presented to solve three-dimensional incompressible Darcy-Forchheimer miscible displacement, and convergence analysis is shown in this paper. A mixed finite element approximation is applied to obtain the pressure and Darcy-Forchheimer velocity, and the accuracy of velocity is improved one order. The concentration is computed by a coupled scheme of characteristics and mixed volume element, where the diffusion is treated by the mixed volume element and the convection is treated by the method of characteristics. The method of characteristics has strong computation stability at sharp fronts and it can avoid numerical dispersion and nonphysical oscillation. Larger time-steps along the characteristics are shown to result in smaller time-truncation errors than those resulting from standard methods. More important in numerical simulation of seepage mechanics, mixed volume element has the property of conservation on each element and it can obtain numerical solution of the concentration and its adjoint vector function simultaneously. Using some techniques of priori estimates of differential equations, we show an optimal second order estimate in discrete L2 norm. Numerical data are consistent with theoretical analysis, and the composite combination method could possibly become a powerful tool for solving the actual problems in porous media.
Darcy-Forchheimer model, 3-D incompressible miscible displacement, mixed finite element, characteristic mixed volume element, error estimates in L2-norm.
Received: August 21, 2023; Accepted: October 10, 2023; Published: April 3, 2024
How to cite this article: Yirang Yuan, Changfeng Li, Tongjun Sun and Qing Yang, A mixed finite element-characteristic mixed volume element and convergence analysis of Darcy-Forchheimer displacement problem, Far East Journal of Applied Mathematics 117(1) (2024), 67-100. http://dx.doi.org/10.17654/0972096024004
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
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