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Computer-assisted successive linearization solution of the Darcy-Forchheimer-Brinkman flow through a rectangular channel

  • Mahesha Narayana , P. G. Siddheshwar and S. B. Ashoka
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Mathematical Fluid Mechanics
This chapter is in the book Mathematical Fluid Mechanics

Abstract

Numerical solution of nonlinear differential equations forms an integral part of modeling and simulation in recent times. The nonlinear Darcy-Forchheimer- Brinkman (DFB) model has been extensively used in frontier areas like petroleum engineering, hydrogeology, reactor engineering, biology, medicine, and so on. This well-celebrated model has been chosen as a representative problem to highlight the utility and significance of the computer-assisted successive linearization method (SLM) that in general can be applied to nonlinear boundary value problems (BVPs). The study aims to solve the BVP of the fully developed DFB flow through the sparsely packed porous medium using computer-assisted SLM and investigate its accuracy and robustness. The SLM involves successively linearizing the nonlinear differential equations and starting with an initial solution solve the resultant iterative system of linearized BVPs using the spectral collocation method. The present method, in general, has a quadratic rate of convergence and not sensitive to the initial solution unlike other numerical methods like the shooting method. It is found that the governing parameters have the least effect on the method which means that method convergences even for large values of parameters. Further, SLM is successful in capturing boundary and inertia effects in DFB flow.

Abstract

Numerical solution of nonlinear differential equations forms an integral part of modeling and simulation in recent times. The nonlinear Darcy-Forchheimer- Brinkman (DFB) model has been extensively used in frontier areas like petroleum engineering, hydrogeology, reactor engineering, biology, medicine, and so on. This well-celebrated model has been chosen as a representative problem to highlight the utility and significance of the computer-assisted successive linearization method (SLM) that in general can be applied to nonlinear boundary value problems (BVPs). The study aims to solve the BVP of the fully developed DFB flow through the sparsely packed porous medium using computer-assisted SLM and investigate its accuracy and robustness. The SLM involves successively linearizing the nonlinear differential equations and starting with an initial solution solve the resultant iterative system of linearized BVPs using the spectral collocation method. The present method, in general, has a quadratic rate of convergence and not sensitive to the initial solution unlike other numerical methods like the shooting method. It is found that the governing parameters have the least effect on the method which means that method convergences even for large values of parameters. Further, SLM is successful in capturing boundary and inertia effects in DFB flow.

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