A multiphase level-set approach for all-Mach numbers

被引:9
|
作者
Kinzel, Michael P. [1 ]
Lindau, Jules W. [1 ,2 ]
Kunz, Robert E. [1 ,2 ]
机构
[1] Penn State Univ, Appl Res Lab, Computat Mech Div, State Coll, PA 16804 USA
[2] Penn State Univ, Dept Aerosp Engn, University Pk, PA 16802 USA
关键词
Level-set method; Compressible flow; Incompressible flow; Multiphase flow; FLUID METHOD; FLOWS; COMPUTATION; CAVITATION; SCHEME;
D O I
10.1016/j.compfluid.2018.02.026
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this work, an alternate level-set-based approach is presented that applies uniformly to compressible and incompressible multiphase flows. Fundamental to this work, is the development of analytic transformations from a signed-distance function to species-mass conservation variables. Such transformations can be used to highlight compressible flow difficulties for level set methods, and develop interfacial reinitialization procedures based on different primitive variables. The proposed all-Mach method is based on preserving signed-distance functions within the context of a species-mass conservation equation to evolve the interface, and includes several reinitialization procedures that maintain the spirit of the signed distance function. In addition, we explore hybrid level-set reinitialization procedures that handle sub-gridscale interfacial breakup. The model is demonstrated on concepts relevant to high-speed marine vehicles based on supercavitation, where a gaseous cavity surrounds a moving vehicle. Results indicate that the present algorithm preserves higher-order numerics, performs well on several incompressible and compressible validation cases, and extends to unsteady, three-dimensional flow. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 16
页数:16
相关论文
共 50 条
  • [41] A Parametric Level-Set Method for Partially Discrete Tomography
    Kadu, Ajinkya
    van Leeuwen, Tristan
    Batenburg, K. Joost
    DISCRETE GEOMETRY FOR COMPUTER IMAGERY, DGCI 2017, 2017, 10502 : 122 - 134
  • [42] Level-set methods for structural topology optimization: a review
    van Dijk, N. P.
    Maute, K.
    Langelaar, M.
    van Keulen, F.
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2013, 48 (03) : 437 - 472
  • [43] Level-set topology optimization considering nonlinear thermoelasticity
    Chung, Hayoung
    Amir, Oded
    Kim, H. Alicia
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2020, 361
  • [44] A generalized level-set immersed interface method with application
    Xu, Jian-Jun
    Li, Zhilin
    COMPUTERS & FLUIDS, 2024, 283
  • [45] A high order semi-implicit IMEX WENO scheme for the all-Mach isentropic Euler system
    Boscarino, Sebastiano
    Qiu, Jing-Mei
    Russo, Giovanni
    Xiong, Tao
    JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 392 : 594 - 618
  • [46] Contextual Level-Set Method for Breast Tumor Segmentation
    Hussain, Sumaira
    Xi, Xiaoming
    Ullah, Inam
    Wu, Yongjian
    Ren, Chunxiao
    Lianzheng, Zhao
    Tian, Cuihuan
    Yin, Yilong
    IEEE ACCESS, 2020, 8 (08): : 189343 - 189353
  • [47] Application of the level-set method to the analysis of an evolving microstructure
    Park, C. -L.
    Voorhees, P. W.
    Thornton, K.
    COMPUTATIONAL MATERIALS SCIENCE, 2014, 85 : 46 - 58
  • [48] An improved level-set method for tracking the interface of fluids
    Jin Jian-liang
    Jiang Nan
    GEOINFORMATICS 2006: GEOSPATIAL INFORMATION SCIENCE, 2006, 6420
  • [49] A Parallel Level-Set Based Method for Topology Optimization
    Wu, Tao
    Xu, Hao
    Hu, Qiangwen
    Zhao, Yansong
    Peng, Ying
    Chen, Lvjie
    Fu, Yu
    PROCEEDINGS OF THE 2014 IEEE 18TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2014, : 505 - 509
  • [50] Application of the Level-Set Model with Constraints in Image Segmentation
    Klement, Vladimir
    Oberhuber, Tomas
    Sevcovic, Daniel
    NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2016, 9 (01) : 147 - 168