Preventing mass loss in the standard level set method: New insights from variational analyses

For decades, the computational multiphase flow community has grappled with mass loss in the level set method. Numerous solutions have been proposed, from fixing the reinitialization step to combining the level set method with other conservative schemes. However, our work reveals a more fundamental culprit: the smooth Heaviside and delta functions inherent to the standard formulation. Even if reinitialization is done exactly, i.e., the zero contour interface remains stationary, the use of smooth functions lead to violation of mass conservation. We propose a novel approach using variational analysis to incorporate a mass conservation constraint. This introduces a Lagrange multiplier that enforces overall mass balance. Notably, as the delta function sharpens, i.e., approaches the Dirac delta limit, the Lagrange multiplier approaches zero. However, the exact Lagrange multiplier method disrupts the signed distance property of the level set function. This motivates us to develop an approximate version of the Lagrange multiplier that preserves both overall mass and signed distance property of the level set function. Our framework even recovers existing mass-conserving level set methods, revealing some inconsistencies in prior analyses. We extend this approach to three-phase flows for fluid-structure interaction (FSI) simulations. We present variational equations in both immersed and non-immersed forms, demonstrating the convergence of the former formulation to the latter when the body delta function sharpens. Rigorous test problems confirm that the FSI dynamics produced by our simple, easy-to-implement immersed formulation with the approximate Lagrange multiplier method are accurate and match state-of-the-art solvers. • Precise reasons for mass loss in the standard level set method are investigated. • A variational analysis is performed to incorporate a mass conservation constraint through the use of Lagrange multipliers for the level set method. • The new framework recovers existing mass-conserving level set methods. • The two-phase variational approach is extended to three phase flows in both immersed and non-immersed forms, enabling multiphase fluid-structure interaction simulations. • Stringent test problems are devised to test the performance of the mass conserving level set method.

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Publication Details

Journal
Journal of Computational Physics
Published
2024-10-11
DOI
https://doi.org/10.1016/j.jcp.2024.113495
Citations
9
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
3.37

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article

Preventing mass loss in the standard level set method: New insights from variational analyses

Pieter Ghysels, Kaustubh Khedkar, Neelesh A. Patankar, Amneet Pal Singh Bhalla et al.
9 citations
Journal of Computational Physics
Computational Fluid Dynamics and Aerodynamics
3.37
article

Preventing mass loss in the standard level set method: New insights from variational analyses

Pieter Ghysels, Kaustubh Khedkar, Neelesh A. Patankar, Amneet Pal Singh Bhalla, Amirreza Charchi Mamaghani
article en
9 citations

Abstract

For decades, the computational multiphase flow community has grappled with mass loss in the level set method. Numerous solutions have been proposed, from fixing the reinitialization step to combining the level set method with other conservative schemes. However, our work reveals a more fundamental culprit: the smooth Heaviside and delta functions inherent to the standard formulation. Even if reinitialization is done exactly, i.e., the zero contour interface remains stationary, the use of smooth functions lead to violation of mass conservation. We propose a novel approach using variational analysis to incorporate a mass conservation constraint. This introduces a Lagrange multiplier that enforces overall mass balance. Notably, as the delta function sharpens, i.e., approaches the Dirac delta limit, the Lagrange multiplier approaches zero. However, the exact Lagrange multiplier method disrupts the signed distance property of the level set function. This motivates us to develop an approximate version of the Lagrange multiplier that preserves both overall mass and signed distance property of the level set function. Our framework even recovers existing mass-conserving level set methods, revealing some inconsistencies in prior analyses. We extend this approach to three-phase flows for fluid-structure interaction (FSI) simulations. We present variational equations in both immersed and non-immersed forms, demonstrating the convergence of the former formulation to the latter when the body delta function sharpens. Rigorous test problems confirm that the FSI dynamics produced by our simple, easy-to-implement immersed formulation with the approximate Lagrange multiplier method are accurate and match state-of-the-art solvers. • Precise reasons for mass loss in the standard level set method are investigated. • A variational analysis is performed to incorporate a mass conservation constraint through the use of Lagrange multipliers for the level set method. • The new framework recovers existing mass-conserving level set methods. • The two-phase variational approach is extended to three phase flows in both immersed and non-immersed forms, enabling multiphase fluid-structure interaction simulations. • Stringent test problems are devised to test the performance of the mass conserving level set method.

Journal of Computational PhysicsVol. 520
Northwestern University (US), Lawrence Berkeley National Laboratory (US), San Diego State University (US)
National Science Foundation, Office of Advanced Cyberinfrastructure, Division of Chemical, Bioengineering, Environmental, and Transport Systems
Climate action
Openalex Percentile: Top 7%
Computational Fluid Dynamics and Aerodynamics
3.37
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