Preventing mass loss in the standard level set method: New insights from variational analyses
Kaustubh Khedkar, Amirreza Charchi Mamaghani, Pieter Ghysels, Neelesh, A. Patankar, Amneet Pal Singh Bhalla

TL;DR
This paper introduces a variational approach with an approximate Lagrange multiplier to enforce mass conservation in the level set method, addressing fundamental issues caused by smooth functions and improving accuracy in multiphase flow simulations.
Contribution
It develops a novel variational framework with an approximate Lagrange multiplier that preserves mass and signed distance properties, unifying and extending existing mass-conserving level set methods.
Findings
The proposed method accurately conserves mass in multiphase flows.
It maintains the signed distance property of the level set function.
The framework effectively extends to three-phase fluid-structure interaction simulations.
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…
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Taxonomy
TopicsHyperglycemia and glycemic control in critically ill and hospitalized patients · Markov Chains and Monte Carlo Methods · Sepsis Diagnosis and Treatment
