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Numerical approximation of the insitu combustion model using the nonlinear mixed complementarity method

Julio Cesar Agustin Sangay, Alexis Rodriguez Carranza, George J. Bautista, Juan Carlos Ponte Bejarano, Jose Luis Ponte Bejarano, Eddy Cristiam Miranda Ramos

TL;DR

This paper addresses numerical solution of a parabolic in-situ combustion model by formulating it as a nonlinear mixed complementarity problem and solving it with a feasible interior-point method (FDA-MNCP). It combines a Crank-Nicolson-based implicit finite-difference discretization with an MCP framework, enabling global convergence and robust handling of nonnegativity constraints on temperature-like variables. Numerical experiments show FDA-MNCP yields solutions very close to those obtained by the FDA-NCP method across various spatial discretizations, with scalability advantages at finer meshes. The study demonstrates the potential of FDA-MNCP for parabolic (and extendable to hyperbolic) problems that admit MCP reformulations, providing a robust and efficient tool for large-scale discretizations in combustion modeling and related PDE systems.

Abstract

In this work, we will study a numerical method that allows finding an approximation of the exact solution for a in-situ combustion model using the nonlinear mixed complementary method, which is a variation of the Newtons method for solving nonlinear systems based on an implicit finite difference scheme and a nonlinear algorithm mixed complementarity, FDA-MNCP. The method has the advantage of provide a global convergence in relation to the finite difference method and method of Newton that only has local convergence. The theory is applied to model in-situ combustion, which can be rewritten in the form of mixed complementarity also we do a comparison with the FDA-NCP method

Numerical approximation of the insitu combustion model using the nonlinear mixed complementarity method

TL;DR

This paper addresses numerical solution of a parabolic in-situ combustion model by formulating it as a nonlinear mixed complementarity problem and solving it with a feasible interior-point method (FDA-MNCP). It combines a Crank-Nicolson-based implicit finite-difference discretization with an MCP framework, enabling global convergence and robust handling of nonnegativity constraints on temperature-like variables. Numerical experiments show FDA-MNCP yields solutions very close to those obtained by the FDA-NCP method across various spatial discretizations, with scalability advantages at finer meshes. The study demonstrates the potential of FDA-MNCP for parabolic (and extendable to hyperbolic) problems that admit MCP reformulations, providing a robust and efficient tool for large-scale discretizations in combustion modeling and related PDE systems.

Abstract

In this work, we will study a numerical method that allows finding an approximation of the exact solution for a in-situ combustion model using the nonlinear mixed complementary method, which is a variation of the Newtons method for solving nonlinear systems based on an implicit finite difference scheme and a nonlinear algorithm mixed complementarity, FDA-MNCP. The method has the advantage of provide a global convergence in relation to the finite difference method and method of Newton that only has local convergence. The theory is applied to model in-situ combustion, which can be rewritten in the form of mixed complementarity also we do a comparison with the FDA-NCP method
Paper Structure (6 sections, 33 equations, 7 figures, 9 tables)

This paper contains 6 sections, 33 equations, 7 figures, 9 tables.

Figures (7)

  • Figure 1: Comparison of the FDA-MNCP and FDA-NCP methods for M = 50 at time instants $t = 0.000, 0.002, 0.004, 0.006, 0.008, 0.010$. The values of $\theta$ are represented by green dots and a solid red line, the values of $\eta$ are represented by pink dots and a solid blue line.
  • Figure 2: Comparison of the FDA-MNCP and FDA-NCP methods for$M = 100$ at times $t = 0.000, 0.002, 0.004, 0.006, 0.008, 0.010$. The values of $\theta$ are represented by green dots and a solid red line, the values of $\eta$ are represented by pink dots and a solid blue line.
  • Figure 3: Comparison of the FDA-MNCP and FDA-NCP methods for $M = 200$ at times $t = 0.000, 0.002, 0.004, 0.006, 0.008, 0.010$. The values of $\theta$ are represented by green dots and a solid red line, the values of $\eta$ are represented by pink dots and a solid blue line.
  • Figure 4: Comparison of the FDA-MNCP and FDA-NCP methods for $M = 400$ at times $t = 0.000, 0.002, 0.004, 0.006, 0.008, 0.010$. The values of $\theta$ are represented by green dots and a solid red line, the values of $\eta$ are represented by pink dots and a solid blue line.
  • Figure 5: Difference between DA-NCP and FDA-NCP methods.
  • ...and 2 more figures