Codimensional Surface Tension Flow using Moving-Least-Squares Particles

被引:21
|
作者
Wang, Hui [1 ]
Jin, Yongxu [2 ]
Luo, Anqi [3 ]
Yang, Xubo [1 ]
Zhu, Bo [3 ]
机构
[1] Shanghai Jiao Tong Univ, Shanghai, Peoples R China
[2] Stanford Univ, Stanford, CA 94305 USA
[3] Dartmouth Coll, Hanover, NH 03755 USA
来源
ACM TRANSACTIONS ON GRAPHICS | 2020年 / 39卷 / 04期
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
codimensional fluids; surface tension; PIC/FLIP; moving-least-squares; PARTIAL-DIFFERENTIAL-EQUATIONS; FLUID; FLIP; HYDRODYNAMICS; FORMULATION; SIMULATION; MESH;
D O I
10.1145/3386569.3392487
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We propose a new Eulerian-Lagrangian approach to simulate the various surface tension phenomena characterized by volume, thin sheets, thin filaments, and points using Moving-Least-Squares (MLS) particles. At the center of our approach is a meshless Lagrangian description of the different types of codimensional geometries and their transitions using an MLS approximation. In particular, we differentiate the codimension-1 and codimension-2 geometries on Lagrangian MLS particles to precisely describe the evolution of thin sheets and filaments, and we discretize the codimension-0 operators on a background Cartesian grid for efficient volumetric processing. Physical forces including surface tension and pressure across different codimensions are coupled in a monolithic manner by solving one single linear system to evolve the surface-tension driven Navier-Stokes system in a complex non-manifold space. The codimensional transitions are handled explicitly by tracking a codimension number stored on each particle, which replaces the tedious meshing operators in a conventional mesh-based approach. Using the proposed framework, we simulate a broad array of visually appealing surface tension phenomena, including the fluid chain, bell, polygon, catenoid, and dripping, to demonstrate the efficacy of our approach in capturing the complex fluid characteristics with mixed codimensions, in a robust, versatile, and connectivity-free manner.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Front tracking with moving-least-squares surfaces
    Paulo Gois, Joao
    Nakano, Anderson
    Gustavo Nonato, Luis
    Buscaglia, Gustavo C.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2008, 227 (22) : 9643 - 9669
  • [2] Hermite type moving-least-squares approximations
    Komargodski, Z.
    Levin, D.
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2006, 51 (08) : 1223 - 1232
  • [3] A moving-least-squares reconstruction for embedded-boundary formulations
    Vanella, Marcos
    Balaras, Elias
    JOURNAL OF COMPUTATIONAL PHYSICS, 2009, 228 (18) : 6617 - 6628
  • [4] An improved moving-least-squares reconstruction for immersed boundary method
    Li, Dong
    Wei, Anyang
    Luo, Kun
    Fan, Jianren
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2015, 104 (08) : 789 - 804
  • [5] A new class of Moving-Least-Squares WENO-SPH schemes
    Avesani, Diego
    Dumbser, Michael
    Bellin, Alberto
    JOURNAL OF COMPUTATIONAL PHYSICS, 2014, 270 : 278 - 299
  • [6] Codimensional Surface Tension Flow on Simplicial Complexes
    Zhu, Bo
    Quigley, Ed
    Cong, Matthew
    Solomon, Justin
    Fedkiw, Ronald
    ACM TRANSACTIONS ON GRAPHICS, 2014, 33 (04):
  • [7] Moving least squares multiresolution surface approximation
    Mederos, B
    Velho, L
    De Figueiredo, LH
    XVI BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, PROCEEDINGS, 2003, : 19 - 26
  • [8] Stochastic sampling using moving least squares response surface approximations
    Taflanidis, Alexandros A.
    Cheung, Sai-Hung
    PROBABILISTIC ENGINEERING MECHANICS, 2012, 28 : 216 - 224
  • [9] Smooth Particle Hydrodynamics with nonlinear Moving-Least-Squares WENO reconstruction to model anisotropic dispersion in porous media
    Avesani, Diego
    Herrera, Paulo
    Chiogna, Gabriele
    Bellin, Alberto
    Dumbser, Michael
    ADVANCES IN WATER RESOURCES, 2015, 80 : 43 - 59
  • [10] Moving least squares simulation of free surface flows
    Felter, C. L.
    Walther, J. H.
    Henriksen, C.
    COMPUTERS & FLUIDS, 2014, 91 : 47 - 56