{"title":"Lagrangian hybrid element particle method (LHEPM) for incompressible fluid dynamics","authors":"Huangcheng FANG, Zhen-Yu YIN","doi":"10.1016/j.jcp.2025.114281","DOIUrl":null,"url":null,"abstract":"<div><div>Traditional numerical approaches for solving incompressible fluid dynamics problems face notable limitations, including convective instability and interface tracking in Eulerian approaches, severe element distortion in Lagrangian mesh-based methods, and reduced computational accuracy in particle-based approaches. To overcome these challenges, this paper develops a new Lagrangian Hybrid Element Particle Method (LHEPM) that combines two discretization schemes: underlying elements and material particles. The underlying elements, designed without storing historical variables, can be dynamically regenerated during the computation. These elements serve as temporary tools for discretizing physical fields within the computational domain, with their spatial interpolation subsequently reconstructed onto the particles via a kernel function. The proposed framework permits the seamless incorporation of diverse finite element techniques, such as boundary condition enforcement, contact algorithms, and pressure stabilization, without requiring modifications. The effectiveness and performance of LHEPM are validated through its application to several standard fluid problems. Compared to other state-of-the-art methods, the proposed LHEPM avoids the need for complex treatment of convective terms and free-surface tracking typically required in Eulerian mesh-based approaches, such as the finite volume method (FVM); its unique interpolation technique and optimal particle integration enable significantly higher accuracy than particle-based methods like Smoothed Particle Hydrodynamics (SPH); dynamic mesh regeneration further resolves the mesh distortion issues inherent in traditional Lagrangian finite element method (FEM), making the proposed method a precise, efficient, and robust framework for incompressible fluid dynamics simulations.</div></div>","PeriodicalId":352,"journal":{"name":"Journal of Computational Physics","volume":"541 ","pages":"Article 114281"},"PeriodicalIF":3.8000,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Physics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0021999125005649","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Traditional numerical approaches for solving incompressible fluid dynamics problems face notable limitations, including convective instability and interface tracking in Eulerian approaches, severe element distortion in Lagrangian mesh-based methods, and reduced computational accuracy in particle-based approaches. To overcome these challenges, this paper develops a new Lagrangian Hybrid Element Particle Method (LHEPM) that combines two discretization schemes: underlying elements and material particles. The underlying elements, designed without storing historical variables, can be dynamically regenerated during the computation. These elements serve as temporary tools for discretizing physical fields within the computational domain, with their spatial interpolation subsequently reconstructed onto the particles via a kernel function. The proposed framework permits the seamless incorporation of diverse finite element techniques, such as boundary condition enforcement, contact algorithms, and pressure stabilization, without requiring modifications. The effectiveness and performance of LHEPM are validated through its application to several standard fluid problems. Compared to other state-of-the-art methods, the proposed LHEPM avoids the need for complex treatment of convective terms and free-surface tracking typically required in Eulerian mesh-based approaches, such as the finite volume method (FVM); its unique interpolation technique and optimal particle integration enable significantly higher accuracy than particle-based methods like Smoothed Particle Hydrodynamics (SPH); dynamic mesh regeneration further resolves the mesh distortion issues inherent in traditional Lagrangian finite element method (FEM), making the proposed method a precise, efficient, and robust framework for incompressible fluid dynamics simulations.
期刊介绍:
Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries.
The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.