RECENT ADVANCES IN THE PARTICLE FINITE ELEMENT METHOD. TOWARDS MORE COMPLEX FLUID FLOW APPLICATIONS

被引:0
|
作者
Nigro, Norberto M. [1 ,2 ]
Novara, Pablo
Gimenez, Juan M. [1 ]
Bergallo, Marta B.
Calvo, Nestor A.
Morin, Pedro
Idelsohn, Sergio R. [3 ,4 ]
机构
[1] Consejo Nacl Invest Cient & Tecn CONICET, Ctr Invest Metodos Computac CIMEC, Parque Tecnol Litoral Ctr,Colectora Ruta Nacl 168, RA-3000 Santa Fe, Santa Fe, Argentina
[2] Univ Nacl Litoral UNL, Ctr Invest Metodos Computac CIMEC, Santa Fe, Santa Fe, Argentina
[3] ICREA, CIMNE, Barcelona, Spain
[4] Univ Nacl Litoral UNL, CIMEC, Santa Fe, Argentina
关键词
Particle Finite Element method; Lagrangian; Preconditioner; Real Time; High Performance Computing; INTEGRATION; EQUATIONS; SOLVE;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
One of the main drawbacks of the explicit integration using Eulerian formulations is the restricted stability of the solution with the time steps and with the spatial discretization. For the case of the Navier-Stokes equations, it is well known that the time step to be used in the solution is stable only for time step smaller than two critical values: the CourantFriedrichs- Lewy (CFL) number and the Fourier number. The first one is concerning with the convective terms and the second one with the diffusive ones. Both numbers must be less than one to have stable algorithms. For convection dominant problems like high Reynolds number flows, the condition CFL<1 becomes crucial and limit the use of explicit method or outdistance it to be efficient. On the other hand, implicit solutions using Eulerian formulations is restricted in the time step size due to the lack of convergence of the convective non-linear terms. Both time integrations, explicit or implicit are, in most cases, limited to CFL no much larger than one. The possibility to perform parallel processing and the recent upcoming of new processors like GPU and GPGPU increase the possibilities of the explicit integration in time due to the facility to parallelize explicit methods having results with speed-up closed to one. Although the incompressible condition cannot be solved explicitly, the solution of the momentum conservation equations with an explicit integration of the convective terms together with a parallel processing reduces considerably the computing time to solve the whole problem provided that a large time-step may be preserved independently to the discretization in space. Only to remember the new Particle Finite Element Method, called PFEM 2nd generation (PFEM-2) uses a Lagrangian formulation with an explicit time integrator without the CFL<1 restriction for the convective terms. This allows large timesteps, independent of the spatial discretization, having equal or better precision that an implicit integration. Moreover, PFEM-2 has two versions, one for moving mesh with permanent remeshing and one for fixed mesh [1]. In this lecture we will present some recent advances in the Particle Finite Element Method (PFEM) to solve the incompressible Navier-Stokes equations coupled with another fields like in multiphysics exploiting some nice features found in the fixed version. On the other hand we will also present the moving mesh version applied to multifluids using a parallel remeshing that makes this efficient in terms of cpu time. This updated proposal will be tested numerically and compared in terms of accuracy as in computing cpu time with other more standard Eulerian formulations.
引用
收藏
页码:966 / 977
页数:12
相关论文
共 50 条
  • [31] Recent advances in the extended finite element method (XFEM) and isogeometric analysis (IGA)
    Xu, DanDan
    Liu, ZhanLi
    Zhuang, Zhuo
    SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2016, 59 (12)
  • [32] Advances in the Particle Finite Element Method (PFEM) for Solving Coupled Problems in Engineering
    Onate, E.
    Idelsohn, S. R.
    Celigueta, M. A.
    Rossi, R.
    Marti, J.
    Carbonell, J. M.
    Ryzhakov, P.
    Suarez, B.
    PARTICLE-BASED METHODS: FUNDAMENTALS AND APPLICATIONS, 2011, 25 : 1 - 49
  • [33] ADVANCES IN THE PARTICLE FINITE ELEMENT METHOD FOR FSI: A MODIFIED FRACTIONAL STEP APPROACH
    Ryzhakov, Pavel
    Onate, Eugenio
    Rossi, Riccardo
    Idelsohn, Sergio
    PARTICLE-BASED METHODS II: FUNDAMENTALS AND APPLICATIONS, 2011, : 473 - 478
  • [34] Modeling and Simulation Using Coupled Mechanical Systems of the Finite Element Method. Applications in Orthopedics
    O'Connor Blanco, Joan
    Rodriguez Madrigal, Melchor
    Calas, Hector
    Moreno, Eduardo
    Leija Salas, Lorenzo
    Palomares, Enrique
    5TH LATIN AMERICAN CONGRESS ON BIOMEDICAL ENGINEERING (CLAIB 2011): SUSTAINABLE TECHNOLOGIES FOR THE HEALTH OF ALL, PTS 1 AND 2, 2013, 33 (1-2): : 619 - 622
  • [35] Development of an explicit smoothed particle finite element method for geotechnical applications
    Yuan, Wei-Hai
    Wang, Bin
    Zhang, Wei
    Jiang, Quan
    Feng, Xia-Ting
    COMPUTERS AND GEOTECHNICS, 2019, 106 : 42 - 51
  • [36] EVALUATION OF FLOW CHARACTERISTICS OF PERFORATIONS INCLUDING NONLINEAR EFFECTS WITH THE FINITE-ELEMENT METHOD.
    Tariq, Syed M.
    1600, (02):
  • [37] Membrane finite element method for simulating fluid flow in porous medium
    Mei-li ZHAN Wen-jie ZHANG
    Water Science and Engineering, 2009, 2 (02) : 43 - 51
  • [38] Membrane finite element method for simulating fluid flow in porous medium
    Zhan, Mei-li
    Zhang, Wen-jie
    Sheng, Jin-chang
    Li, Jian-hui
    He, Shu-yuan
    WATER SCIENCE AND ENGINEERING, 2009, 2 (02) : 43 - 51
  • [39] On approximation of non-Newtonian fluid flow by the finite element method
    Svacek, Petr
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2008, 218 (01) : 167 - 174
  • [40] Finite element approximation of viscoelastic fluid flow using characteristics method
    Machmoum, A
    Esselaoui, D
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2001, 190 (42) : 5603 - 5618