AER1319: FINITE VOLUME METHODS FOR CFD Instructor: Professor C.P. T. Groth University of Toronto Institute for Aerospace Studies (UTIAS) Phone: 416{667{7715 E-mail: groth@utias.utoronto.ca Finite Volume Methods for Hyperbolic Problems, by R. J. LeVeque, Cambridge University Press, 2002. Numerical Computation of Internal and External Flows The Finite Volume Method is a CFD method developed to simulate fluid (or air) flow around an object Solves the same problems as FEM, but in quite a different way Used in FLUENT, one of the most popular comercial CFD applications for general purpose simulations. About FVM (2) Based on dividing the domain into cells or control volumes (CV) Finite Volume Method: A Crash introduction • In the FVM, a lot of overhead goes into the data book-keeping of the domain information. • We know the following information of every control volume in the domain: • The control volume has a volume V and is constructed around point P, which is the centroid of the control volume. ME555 : Computational Fluid Dynamics 2 I. Sezai - Eastern Mediterranean University Diffusion process affects the distribution of φin all directions. Convection spreads influence only in the flow direction. This sets a limit on the grid size for stable conv ection-diffusion calculations with central difference method. Физико-механический практикум по гидромеханике 4.2 Finite volume method for one-dimensional steady state diffusion 115 4.3 Worked examples: one-dimensional steady state diffusion 118 10.7 Reporting/documentation of CFD simulation inputs FINITE VOLUME METHODS 3 FINITE VOLUME METHODS: FOUNDATION AND ANALYSIS 7 2. Finite volume (FV) methods for nonlinear conservation laws In the Þnite volume method, the computational domain, ! ! Rd, is Þrst tessellated into a collection of non overlapping control volumes that completely cover the domain. Notationally, Since the 70s of last century, the Finite Element Method has begun to be applied to the shallow water equations: Zienkiewicz [34], and Peraire [22] are among the authors who have worked on this line. In parallel to this, the use of the Finite Volume method has grown: see, for instance, the worlks of V azquez Cend on [31] and Alcrudo and Garcia- introduced in Chap. 3. Unlike what is done in most treatments of CFD, we will view numerical analysis as an essential tool for doing CFD, but not, per se, part of CFD itself—so it will not be included in these lectures. In Chap. 3 we present a (nearly) chronological historical development of the main algorithms employed Finite volume method The finite volume method is based on (I) rather than (D). The integral conservation law is enforced for small control volumes defined by the computational mesh: V¯ = [N i=1 V¯ i, Vi ∩Vj = ∅, ∀i 6= j ui = 1 |Vi| Z Vi udV mean value To be specified • concrete choice of control volumes • type of approximation Spatial Discretization: Cell-Centered Finite-Volume Method 3. Iteration to Steady State 4. Multi-Stage Time-Marching Method 5. The Multigrid Method 1. An Explicit Finite-Volume Algorithm with Multigrid. Key Characteristics • cell-centered data storage; the numerical solution for the state 3D-mesh-generator from CFD. For the time integration a semi-implicit multistep method is used. The arising large, sparse linear systems are efficiently solved with a Krylov su bspace method. Some successful test runs using real life data are presented. Key words. premature infant, bio-heat-transfer-
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