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Finite-Volumes I Sauro Succi. Finite Volumes Real-life geometries: coordinate-free Courtesy of Prof. M. Porfiri, NYU Poly.

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Presentation on theme: "Finite-Volumes I Sauro Succi. Finite Volumes Real-life geometries: coordinate-free Courtesy of Prof. M. Porfiri, NYU Poly."— Presentation transcript:

1 Finite-Volumes I Sauro Succi

2 Finite Volumes Real-life geometries: coordinate-free Courtesy of Prof. M. Porfiri, NYU Poly

3 Given a Volume V, enclosed in a piecewise smooth boundary (surface) S, characterized by the normal n in each point; The flux of a is defined as IF S is regular and a is continuously differentiable, we have the following: Gauss theorem

4 Gauss theorem: conservation laws

5 Volume vs Surface average

6 Gauss theorem: ADE

7 Gauss theorem: Control Volume

8 Conservativeness

9 Colocated; Control Volume Simple, but not good for surfint > geos VP uncoupled, hourglass N E W S e n s w ne

10 Centers to Edges: Interpolate E e n s w ne N

11 Staggered Laborious, no interpolation > simple geos No hourglass, VP coupled

12 Discretized Gauss: Continuity Discretized Fluxes: Interpolation

13 Discretized Fluxes: General Discretized Fluxes: Interpolation

14 Finite Volumes

15 Topological issues

16 FD<FV<FE Cartesian Non-Cartesian, Structured Unstructured

17 1d and 2d example: advection-diffusion

18 FV: AD d=2 Discretized Fluxes

19 One Dimension

20 Linear Interp: Upwind:

21 One Dimension

22

23 1d: example Give explicit expression of L_PQ and show that it reduces to standard FD for square finite volumes. Again, we don’t care about non-uniformity because the unknowns are cell averages (more physical)

24 Two-dimensions

25 Going to 2D: same principles more labour! Cartesian (Orthogonal) Trapezoidal (non-orthogonal) Unstructured (similar to FEM)

26 d d d d Cartesian d=2

27 Structured cartesian: Advection fluxes

28 Structured cartesian: diffusive flux Structured matrix: 5 nonzero entries

29 Structured cartesian: Advection fluxes

30 2d cartesian: diffusive fluxes

31 Structured cartesian: cieff’s Structured matrix: 5 nonzero entries

32 Structured non-cartesian

33 Structured Non-Cartesian Geometrical data

34

35 CEV = Centers/Edges/Vertices Non-cartesian: structured S W N Ε NΕ SΕ NW SW ne se C ew n s Non-orthogonal Still structured

36

37 Co/Contravariant/Cartesian

38

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40 CEV = Centers/Edges/Vertices Staggered S W N Ε NΕ SΕ NW SW ne se C ew n s Non-orthogonal

41 Navier-Stokes (Compressible) Staggered FV

42 NW NΕ SΕ SW n e w s P E N W S Vertex-centered staggered

43 Discretized Gauss: Continuity Discretized Convective Fluxes Same for north,west, south … Non-orthogonality issues (!) S W N Ε NΕ SΕ NW SW ne se C ew n s

44 Discretized Gauss: Continuity Discretized midpoint (2 nd order 8 neigh) Discretized Simpson (4 th order, 8 neigh)

45 Discretized Convective Fluxes

46 Discretized Gauss: Momentum_x Convective and Dissipative Fluxes

47 Non-Linear (outer) iteration Nonlinear (outer) iteration, k=0,1…

48 Real-life geometries Courtesy of Prof. M. Porfiri, NYU Poly

49 Example: Global: Cylindrical, Spherical, Local: Oblique

50 Unstructured FV~FEM

51 Cell vs Vertex Centered

52 Vertex control elements

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55 Finite Volumes: summary Intuitive and physically sound Round-off Conservative (fluxin=-fluxout) Geo-topological ahead, laborious Interpolation to be decided (unlike FEM) Structured: Finite-Difference with non-smooth coordinates No-singularity (1/r for sherical coordinates) Commercially dominant (STAR-CD, FLUENT…)


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