PofoliaShared via Pofolia

International Journal for Numerical Methods in Engineering· 2026Q1

A Level Set Method on Particle Flow Maps

Jinjin He, Taiyuan Zhang, Zhiqi Li, Junwei Zhou et al.

Short summary

A new particle flow map level set (PFM-LS) method tracks interfaces with high fidelity and volume preservation, achieving near fourth-order convergence.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Introduces a particle flow map level set (PFM-LS) method for interface tracking.
  • Particles act as primary carriers of level-set values, gradients, and Hessians.
  • Achieves strong volume preservation and high shape fidelity.
  • Demonstrates near fourth-order convergence in 2D and 3D benchmarks.
  • Outperforms existing level set and reference-map-based methods.

AI-generated from the title and abstract; the full text is not read.

Abstract

ABSTRACT Accurate interface tracking is central to numerical simulations involving moving boundaries, including multiphase flows, free‐surface dynamics, phase‐change problems, and other interface‐driven processes in computational mechanics. Although, level set methods provide a flexible implicit representation of evolving interfaces, their grid‐based advection and reinitialization procedures often introduce numerical diffusion, volume loss, and degradation of thin or highly curved structures. This paper introduces a particle flow map level set (PFM‐LS) method that addresses these limitations by transporting interface geometry through particle‐carried bidirectional flow maps. In contrast to particle level set methods that use particles mainly as corrective markers, PFM‐LS uses particles as primary carriers of level‐set values, gradients, and Hessians within a narrow band around the interface. The method combines long‐range flow‐map transport, high‐order particle‐grid reconstruction, adaptive particle control, and a hybrid particle‐grid redistancing scheme to preserve both signed‐distance consistency and sub‐grid geometric features. Numerical benchmarks in two and three dimensions, including topology‐change tests, chamfer and Hausdorff shape‐error metrics, and coupling to an incompressible free‐surface flow solver, show that PFM‐LS achieves strong volume preservation, high shape fidelity, and near fourth‐order convergence, outperforming a broad range of existing level set and reference‐map‐based methods.

The authors' abstract, as published at the source. International Journal for Numerical Methods in Engineering, 2026 · DOI ↗

TakeawaysPremium
Ask the paperFree account

Continue with a free account

Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.

Continue free on the web

Sign in with Google or Apple; no card needed. You come back to this paper.

On your phone:

Field: Computer Graphics and Computer-Aided Design

Computer Graphics and Computer-Aided DesignComputer Science