<p>In this work, we propose a new semi-Lagrangian (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\text {SL}\)</EquationSource> <EquationSource Format="MATHML"><math> <mtext>SL</mtext> </math></EquationSource> </InlineEquation>) finite difference scheme for nonlinear advection-diffusion problems. To ensure conservation, which is fundamental for achieving physically consistent solutions, the governing equations are integrated over a space-time control volume constructed along the characteristic curves originating from each computational point. By applying Gauss theorem, all space-time surface integrals can be evaluated. For nonlinear problems, a nonlinear equation must be solved to find the foot of the characteristic, while this is not needed in linear cases. This formulation yields <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\text {SL}\)</EquationSource> <EquationSource Format="MATHML"><math> <mtext>SL</mtext> </math></EquationSource> </InlineEquation> schemes that are fully conservative and unconditionally stable, as verified by numerical experiments with <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\text {CFL}\)</EquationSource> <EquationSource Format="MATHML"><math> <mtext>CFL</mtext> </math></EquationSource> </InlineEquation> numbers up to 100. Moreover, the diffusion terms are directly incorporated within a conservative semi-Lagrangian framework, leading to the development of a novel characteristic-based Crank-Nicolson discretization in which the diffusion contribution is integrated along the characteristic. A broad set of benchmark tests demonstrates the accuracy, robustness, and strict conservation property of the proposed method, as well as its unconditional stability.</p>

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SCOUT: Semi-Lagrangian COnservative and Unconditionally sTable Schemes for Nonlinear Advection-Diffusion Problems

  • Silvia Preda,
  • Walter Boscheri,
  • Matteo Semplice,
  • Maurizio Tavelli

摘要

In this work, we propose a new semi-Lagrangian ( \(\text {SL}\) SL ) finite difference scheme for nonlinear advection-diffusion problems. To ensure conservation, which is fundamental for achieving physically consistent solutions, the governing equations are integrated over a space-time control volume constructed along the characteristic curves originating from each computational point. By applying Gauss theorem, all space-time surface integrals can be evaluated. For nonlinear problems, a nonlinear equation must be solved to find the foot of the characteristic, while this is not needed in linear cases. This formulation yields \(\text {SL}\) SL schemes that are fully conservative and unconditionally stable, as verified by numerical experiments with \(\text {CFL}\) CFL numbers up to 100. Moreover, the diffusion terms are directly incorporated within a conservative semi-Lagrangian framework, leading to the development of a novel characteristic-based Crank-Nicolson discretization in which the diffusion contribution is integrated along the characteristic. A broad set of benchmark tests demonstrates the accuracy, robustness, and strict conservation property of the proposed method, as well as its unconditional stability.