Stabilized Finite Element Method for 3D Navier-Stokes Equations with Physical Boundary Conditions
|
|
- Maud Sharp
- 5 years ago
- Views:
Transcription
1 Stabilized Finite Element Method for 3D Navier-Stokes Equations with Physical Boundary Conditions Mohamed Amara, Daniela Capatina, David Trujillo Université de Pau et des Pays de l Adour Laboratoire de Mathématiques Appliquées-CNRS UMR5142 Journée GdR MOMAS - Paris - 4 décembre 2008 Stabilized Finite Element Method for 3D Navier-Stokes Equations with Physical Boundary Conditions p. 1/4
2 Mathematical Framework 2D : stationary incompressible Navier-Stokes eqs. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 2/4
3 Mathematical Framework 2D : stationary incompressible Navier-Stokes eqs. Boundary conditions: u n = 0, u t = 0 on Γ 1 p u u = p 0, u t = 0 on Γ 2 u n = 0, ω = ω 0 on Γ 3 with ω = curlu the scalar vorticity (see also Conca et al. IJNMF 95, Dubois M3AS 02) Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 2/4
4 Mathematical Framework 2D : stationary incompressible Navier-Stokes eqs. Boundary conditions: u n = 0, u t = 0 on Γ 1 p u u = p 0, u t = 0 on Γ 2 u n = 0, ω = ω 0 on Γ 3 with ω = curlu the scalar vorticity (see also Conca et al. IJNMF 95, Dubois M3AS 02) Amara, Capatina and Trujillo Math. Comp. 07 : Three-fields formulation in (u,ω,p) thanks to : u. u = ωu + 1 (u u) 2 Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 2/4
5 Mathematical Framework From now on : Ω R 3 connected bounded polyhedron. Stationary incompressible Navier-Stokes equations { ν u + u. u + p = f in Ω, divu = 0 in Ω. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 3/4
6 Mathematical Framework From now on : Ω R 3 connected bounded polyhedron. Stationary incompressible Navier-Stokes equations { ν u + u. u + p = f in Ω, divu = 0 in Ω. Boundary conditions: u n = 0, u n = 0 on Γ 1 p u u = p 0, u n = 0 on Γ 2 u n = 0, ω n = ω 0 on Γ 3 Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 3/4
7 Mathematical Framework From now on : Ω R 3 connected bounded polyhedron. Stationary incompressible Navier-Stokes equations { ν u + u. u + p = f in Ω, divu = 0 in Ω. Boundary conditions: u n = 0, u n = 0 on Γ 1 p u u = p 0, u n = 0 on Γ 2 u n = 0, ω n = ω 0 on Γ 3 Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 3/4
8 Mathematical Framework We take: f L 4 3(Ω), ω 0 = 0, p 0 = 0 and Γ 2 > 0. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 4/4
9 Mathematical Framework We take: f L 4 3(Ω), ω 0 = 0, p 0 = 0 and Γ 2 > 0. Dynamic pressure: p = p u u Vorticity: ω = curlu Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 4/4
10 Mathematical Framework We take: f L 4 3(Ω), ω 0 = 0, p 0 = 0 and Γ 2 > 0. Dynamic pressure: p = p u u Vorticity: ω = curlu By means of the relation : u u + p = p + ω u, the system becomes: νcurlω + p + ω u = f in Ω, ω = curlu in Ω, divu = 0 in Ω. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 4/4
11 Mathematical Framework We take: f L 4 3(Ω), ω 0 = 0, p 0 = 0 and Γ 2 > 0. Dynamic pressure: p = p u u Vorticity: ω = curlu By means of the relation : u u + p = p + ω u, the system becomes: Unknowns: vector fields: scalar field: p. νcurlω + p + ω u = f in Ω, ω = curlu in Ω, divu = 0 in Ω. u, ω Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 4/4
12 The linear Stokes operator Associated Stokes problem : νcurlω + p = g in Ω, ω = curlu in Ω, divu = 0 in Ω, Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 5/4
13 The linear Stokes operator Associated Stokes problem : Boundary conditions νcurlω + p = g in Ω, ω = curlu in Ω, divu = 0 in Ω, u n = 0, u n = 0 on Γ 1, p = 0, u n = 0 on Γ 2, u n = 0, ω n = 0 on Γ 3. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 5/4
14 The linear Stokes operator Associated Stokes problem : Boundary conditions Hypothesis: g L 4 3(Ω). νcurlω + p = g in Ω, ω = curlu in Ω, divu = 0 in Ω, u n = 0, u n = 0 on Γ 1, p = 0, u n = 0 on Γ 2, u n = 0, ω n = 0 on Γ 3. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 5/4
15 The linear Stokes operator Mixed variational formulation: Find (σ,u) X M suchthat a(σ,τ) + b(τ,u) = 0 τ X, b(σ,v) = l(v) v M, Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 6/4
16 The linear Stokes operator Mixed variational formulation: Find (σ,u) X M suchthat a(σ,τ) + b(τ,u) = 0 τ X, b(σ,v) = l(v) v M, for all σ = (ω,p), τ = (θ,q) X and v M : a(σ,τ) = ν ω.θdω, Ω b(τ, v) = ν θ.curlvdω + Ω l(v) = g.vdω. Ω Ω qdivvdω, Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 6/4
17 The linear Stokes operator The following Hilbert spaces are employed : M = {v H(div,curl; Ω); v n Γ1 Γ 3 = 0,v n Γ1 Γ 2 = 0}, Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 7/4
18 The linear Stokes operator The following Hilbert spaces are employed : M = {v H(div,curl; Ω); v n Γ1 Γ 3 = 0,v n Γ1 Γ 2 = 0}, X = L 2 (Ω) L 2 (Ω), Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 7/4
19 The linear Stokes operator The following Hilbert spaces are employed : M = {v H(div,curl; Ω); v n Γ1 Γ 3 = 0,v n Γ1 Γ 2 = 0}, X = L 2 (Ω) L 2 (Ω), where H(div,curl; Ω) = {v L 2 (Ω);divv L 2 (Ω),curlv L 2 (Ω)}. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 7/4
20 The linear Stokes operator The following Hilbert spaces are employed : M = {v H(div,curl; Ω); v n Γ1 Γ 3 = 0,v n Γ1 Γ 2 = 0}, X = L 2 (Ω) L 2 (Ω), where H(div,curl; Ω) = {v L 2 (Ω);divv L 2 (Ω),curlv L 2 (Ω)}. H(div,curl; Ω) and M are both normed by v M = ( v 2 0,Ω + divv 2 0,Ω + curlv 2 0,Ω )1/2. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 7/4
21 The linear Stokes operator We introduce v M = ( divv 2 0,Ω + curlv 2 0,Ω )1/2. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 8/4
22 The linear Stokes operator We introduce v M = ( divv 2 0,Ω + curlv 2 0,Ω )1/2. We assume that: M is equivalent to the norm M in M, Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 8/4
23 The linear Stokes operator We introduce v M = ( divv 2 0,Ω + curlv 2 0,Ω )1/2. We assume that: M is equivalent to the norm M in M, M is compactly imbedded in L p (Ω), p > 4 Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 8/4
24 The linear Stokes operator We introduce v M = ( divv 2 0,Ω + curlv 2 0,Ω )1/2. We assume that: M is equivalent to the norm M in M, M is compactly imbedded in L p (Ω), p > 4 the traces of the elements of M belong to L 2 (Γ). Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 8/4
25 The linear Stokes operator We introduce v M = ( divv 2 0,Ω + curlv 2 0,Ω )1/2. We assume that: M is equivalent to the norm M in M, M is compactly imbedded in L p (Ω), p > 4 the traces of the elements of M belong to L 2 (Γ). Last two assumptions hold if : M H s (Ω), 3 4 < s 1 (in 2D, we can prove : M H s (Ω) with 1 2 < s 1) Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 8/4
26 The linear Stokes operator Continuous linear Stokes operator S defined by: S : L 4/3 (Ω) g X L 4 (Ω) S(g) = (σ,u). Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 9/4
27 The linear Stokes operator Babuška-Brezzi: find admits a unique solution if: inf sup v M\{0} σ X (σ,u) X M suchthat a(σ,τ) + b(τ,u) = 0 τ X, b(σ,v) = l(v) v M, b(σ, v) v M σ X γ > 0 Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 10/4
28 The linear Stokes operator Babuška-Brezzi: find admits a unique solution if: inf sup v M\{0} σ X (σ,u) X M suchthat a(σ,τ) + b(τ,u) = 0 τ X, b(σ,v) = l(v) v M, b(σ, v) v M σ X γ > 0 a(.,.) is V elliptic, where V = {τ X; b(τ,v) = 0, v M} Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 10/4
29 The nonlinear Navier-Stokes operator We introduce the nonlinear operator G : X L 4 (Ω) L 4/3 (Ω) G(τ,v) = θ v, where τ = (θ,q). Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 11/4
30 The nonlinear Navier-Stokes operator We introduce the nonlinear operator G : X L 4 (Ω) L 4/3 (Ω) G(τ,v) = θ v, where τ = (θ,q). Navier-Stokes equations: where F is defined by : F(σ,u) = 0, F : X L 4 (Ω) X L 4 (Ω) F(τ,v) = (τ,v) S(f G(τ,v)). Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 11/4
31 The nonlinear Navier-Stokes operator We assume that there exists a solution (σ,u) such that: F(σ,u) = 0 and DF(σ,u) is an isomorphism on X L 4 (Ω), Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 12/4
32 The nonlinear Navier-Stokes operator We assume that there exists a solution (σ,u) such that: F(σ,u) = 0 and DF(σ,u) is an isomorphism on X L 4 (Ω), where and DF(σ,u) = Id + S(DG(σ,u)). DG(σ,u)(τ,v) = θ u+ ω v τ = (θ,q) X. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 12/4
33 The discrete Stokes operator We define (T h ) h>0 regular family of triangulations of Ω consisting of tetrahedrons, Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 13/4
34 The discrete Stokes operator We define (T h ) h>0 regular family of triangulations of Ω consisting of tetrahedrons, E h the set of internal faces, Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 13/4
35 The discrete Stokes operator We define (T h ) h>0 regular family of triangulations of Ω consisting of tetrahedrons, E h the set of internal faces, h K the diameter of the tetrahedron K, Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 13/4
36 The discrete Stokes operator We define (T h ) h>0 regular family of triangulations of Ω consisting of tetrahedrons, E h the set of internal faces, h K the diameter of the tetrahedron K, h e the diameter of the face e, Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 13/4
37 The discrete Stokes operator We define (T h ) h>0 regular family of triangulations of Ω consisting of tetrahedrons, E h the set of internal faces, h K the diameter of the tetrahedron K, h e the diameter of the face e, M h = {v h M; K T h, v h K P 1 (K)} C 0 (Ω), Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 13/4
38 The discrete Stokes operator We define (T h ) h>0 regular family of triangulations of Ω consisting of tetrahedrons, E h the set of internal faces, h K the diameter of the tetrahedron K, h e the diameter of the face e, M h = {v h M; K T h, v h K P 1 (K)} C 0 (Ω), L h = { q h L 2 (Ω); K T h, q h K P 0 (K) }. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 13/4
39 The discrete Stokes operator We define (T h ) h>0 regular family of triangulations of Ω consisting of tetrahedrons, E h the set of internal faces, h K the diameter of the tetrahedron K, h e the diameter of the face e, M h = {v h M; K T h, v h K P 1 (K)} C 0 (Ω), L h = { q h L 2 (Ω); K T h, q h K P 0 (K) }. X h = L h L h and M h are discrete subspaces of X and M. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 13/4
40 The discrete Stokes operator S h S h : L 4 3 (Ω) Xh M h g (σ h,u h ) Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 14/4
41 The discrete Stokes operator S h S h : L 4 3 (Ω) Xh M h g (σ h,u h ) (σ h,u h ) solution of : Find (σ h = (ω h,p h ),u h ) X h M h suchthat a(σ h,τ h ) + βa h (σ h,τ h ) + b(τ h,u h ) = 0 τ h = (θ h,q h ) X h, b(σ h,v h ) = Ω g.v hdx v h M h, Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 14/4
42 The discrete Stokes operator S h (σ h,u h ) solution of : S h : L 4 3 (Ω) Xh M h g (σ h,u h ) Find (σ h = (ω h,p h ),u h ) X h M h suchthat a(σ h,τ h ) + βa h (σ h,τ h ) + b(τ h,u h ) = 0 τ h = (θ h,q h ) X h, b(σ h,v h ) = Ω g.v hdx v h M h, where A h (σ h,τ h ) = e E h h e e [p h ][q h ]ds + e Γ 2 h e e p h q h dγ, β > 0 stabilization parameter, [.] the jump across the edge e E h. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 14/4
43 The discrete Stokes operator The inf-sup condition is satisfied. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 15/4
44 The discrete Stokes operator The inf-sup condition is satisfied. Coercivity: we add A h to the bilinear form a(, ). Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 15/4
45 The discrete Stokes operator The inf-sup condition is satisfied. Coercivity: we add A h to the bilinear form a(, ). a + βa h is uniformly continuous on X h. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 15/4
46 The discrete Stokes operator The inf-sup condition is satisfied. Coercivity: we add A h to the bilinear form a(, ). a + βa h is uniformly continuous on X h. a + βa h is uniformly elliptic on V h. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 15/4
47 The discrete Stokes operator The inf-sup condition is satisfied. Coercivity: we add A h to the bilinear form a(, ). a + βa h is uniformly continuous on X h. a + βa h is uniformly elliptic on V h. Existence and uniqueness for discrete Stokes pb. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 15/4
48 The discrete Stokes operator The operator S h is linear, continuous and satisfies: S h (g) X L 4 (Ω) c g L 4/3 (Ω) with c independent of h and Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 16/4
49 The discrete Stokes operator The operator S h is linear, continuous and satisfies: S h (g) X L 4 (Ω) c g L 4/3 (Ω) with c independent of h and g L 4/3 (Ω), lim (S S h )(g) X L 4 (Ω) = 0. h 0 Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 16/4
50 The discrete Stokes operator The operator S h is linear, continuous and satisfies: S h (g) X L 4 (Ω) c g L 4/3 (Ω) with c independent of h and g L 4/3 (Ω), lim (S S h )(g) X L 4 (Ω) = 0. h 0 Moreover, if g L 2 (Ω) and (σ,u) H 1 (Ω) H 2 (Ω) : (S S h )(g) X M ch g L2 (Ω). Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 16/4
51 The discrete Stokes operator Proof of the inf-sup condition: (usually difficult) Since, for all τ h = (θ h,q h ) X h taking b(τ h,v h ) = (θ h,curlv h ) + (q h,div v h ), we obtain τ h = ( curlv h,divv h ) X h b(τ h,v h ) = τ h 2 X = curlv h 2 0,Ω + divv h 2 0,Ω = v h 2 M and sup τ h X h b(τ h,v h ) τ h X = b(τ h,v h ) τ h X = τ h x = v h M. Inf-Sup condition verified with constant γ = 1. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 17/4
52 The discrete Stokes operator Proof of the V h - coercivity (usually trivial) of a h : a h = a + βa h. Semi-norm on X h associated to A h : for all τ h X h, τ h h = A h (τ h,τ h ) = ( e C h h e [q h ] 2 0, e )1 2 We have for all τ h = (θ h,q h ) V h : a h (τ h,τ h ) = θ h 2 0,Ω + β τ h 2 h α τ h 2 x Proof of the X h - continuity of a h : for all τ h X h, τ h h c q h 0,Ω. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 18/4
53 The discrete Navier-Stokes problem The discrete Navier-Stokes formulation can be written: where F h is defined by : F h (σ h,u h ) = (0,0) F h : X L 4 (Ω) X L 4 (Ω) F h (τ,v) = (τ,v) S h (f G(τ,v)). Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 19/4
54 The discrete Navier-Stokes problem The discrete Navier-Stokes formulation can be written: where F h is defined by : F h (σ h,u h ) = (0,0) F h : X L 4 (Ω) X L 4 (Ω) F h (τ,v) = (τ,v) S h (f G(τ,v)). The functional F h is differentiable and: DF h (σ h,u h ) = Id + S h (DG(σ h,u h )). Main tool: variant of the implicit function theorem. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 19/4
55 The discrete Navier-Stokes problem We show that: (τ,v) Y = X L 4 (Ω), DF h (τ,v) DF h (τ,v) c (τ,v) (τ,v) Y. lim h 0 F h (σ,u) Y = 0. h 0, h h 0,DF h (σ,u) is an isomorphism and DFh (σ,u) 1 2 DF(σ,u) 1. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 20/4
56 The discrete Navier-Stokes problem Then Uniqueness for h < h 0 in a neighborhood of (σ,u). Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 21/4
57 The discrete Navier-Stokes problem Then Uniqueness for h < h 0 in a neighborhood of (σ,u). a priori estimates: (σ,u) (σ h,u h ) Y c F h (σ,u) Y. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 21/4
58 The discrete Navier-Stokes problem Then Uniqueness for h < h 0 in a neighborhood of (σ,u). a priori estimates: (σ,u) (σ h,u h ) Y c F h (σ,u) Y. a posteriori estimates (σ,u) (σ h,u h ) Y c F(σ h,u h ) Y. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 21/4
59 A priori estimates We get : Unconditionally convergent method, since F h (σ,u) = (S h S)(f ω u). Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 22/4
60 A priori estimates We get : Unconditionally convergent method, since F h (σ,u) = (S h S)(f ω u). Optimal convergence rate O(h) if smooth solution Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 22/4
61 A priori estimates We get : Unconditionally convergent method, since F h (σ,u) = (S h S)(f ω u). Optimal convergence rate O(h) if smooth solution Aubin-Nitsche argument u u h L4 (Ω) O(h5/4 ) (respt. O(h 3/2 ) in 2D) Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 22/4
62 A posteriori estimators Residuals on every element K of the triangulation: Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 23/4
63 A posteriori estimators Residuals on every element K of the triangulation: η 1 = ν(ω h curlu h ), η 2 = divu h,η 3 = f ω h u h, Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 23/4
64 A posteriori estimators Residuals on every element K of the triangulation: η 4 = η 1 = ν(ω h curlu h ), η 2 = divu h,η 3 = f ω h u h, ν[ω h ] if e E h νω h if e Γ 3,η 5 = 0 if e Γ 1 Γ 2 [p h ] if e E h p h if e Γ 2, 0 if e Γ 1 Γ 3 Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 23/4
65 A posteriori estimators Residuals on every element K of the triangulation: η 4 = η 1 = ν(ω h curlu h ), η 2 = divu h,η 3 = f ω h u h, ν[ω h ] if e E h νω h if e Γ 3,η 5 = 0 if e Γ 1 Γ 2 ηk 2 = η 1 2 0,K + η 2 2 0,K +h2s K η 3 2 0,K +h2s 1 e [p h ] if e E h p h if e Γ 2, 0 if e Γ 1 Γ 3 e K where s ] 3 4, 1 ] is such that M H s (Ω). Then : ( η 4 2 0,e + η 5 2 0,e ) Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 23/4
66 A posteriori estimators Residuals on every element K of the triangulation: η 4 = η 1 = ν(ω h curlu h ), η 2 = divu h,η 3 = f ω h u h, ν[ω h ] if e E h νω h if e Γ 3,η 5 = 0 if e Γ 1 Γ 2 ηk 2 = η 1 2 0,K + η 2 2 0,K +h2s K η 3 2 0,K +h2s 1 e [p h ] if e E h p h if e Γ 2, 0 if e Γ 1 Γ 3 e K where s ] 3 4, 1 ] is such that M H s (Ω). Then : (σ,u) (σ h,u h ) Y c( K T h η 2 K )1/2. ( η 4 2 0,e + η 5 2 0,e ) Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 23/4
67 A posteriori estimators: A 2D example Coarse grid Refined grid Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 24/4
68 A posteriori estimators: A 2D example Coarse grid Refined grid Estimators on the different meshes Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 24/4
69 A tool to fix the parameter β A posteriori estimators Example on the 2D step test Values of η Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 25/4
70 A tool to fix the parameter β A posteriori estimators Example on the 2D step test Values of η for β = 0.03, Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 25/4
71 A tool to fix the parameter β A posteriori estimators Example on the 2D step test Values of η for β = 0.03, β = 0.5 Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 25/4
72 A tool to fix the parameter β A posteriori estimators Example on the 2D step test Values of η for β = 0.03, β = 0.5 and β = 2 Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 25/4
73 Numerical results: Convergence Rate Ω =] 1, 1[ 3, p = sin(πx)sin(πy)sin(πz), u 1 = cos(πx)sin(πy)sin(πz), u 2 = sin(πx)cos(πy)sin(πz), u 3 = 2sin(πx)sin(πy)cos(πz). Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 26/4
74 Numerical results: Convergence Rate Ω =] 1, 1[ 3, p = sin(πx)sin(πy)sin(πz), u 1 = cos(πx)sin(πy)sin(πz), u 2 = sin(πx)cos(πy)sin(πz), u 3 = 2sin(πx)sin(πy)cos(πz). Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 26/4
75 Numerical results: Convergence Rate Ω =] 1, 1[ 3, p = sin(πx)sin(πy)sin(πz), u 1 = cos(πx)sin(πy)sin(πz), u 2 = sin(πx)cos(πy)sin(πz), u 3 = 2sin(πx)sin(πy)cos(πz). Slope : 1 3 and h N 1 3 then errors O(h) Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 26/4
76 Numerical results: The cavity tests (Re=100) The cavity test on the unit cube Mesh: 3232 elem., 838 nodes Streamlines Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 27/4
77 Numerical results: The cavity tests (Re=100) Vorticity lines Pressure isolines Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 28/4
78 Numerical results: The cavity tests (Re=5000) The cavity test on the domain ]0,1[ ]0,1[ ]0,2[ Mesh: 8619 elem., 1920 nodes Vorticity lines Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 29/4
79 Numerical results: The cavity tests (Re=5000) Velocity Streamlines Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 30/4
80 Numerical results: The step test (Re=10) Mesh :10794 elements, 2665 nodes Pressure imposed on the inlet and outlet boundaries. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 31/4
81 Numerical results: The step test (Re=10) Velocity Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 32/4
82 Numerical results: The step test (Re=10) Streamlines Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 33/4
83 Numerical results: The step test (Re=10) Pressure Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 34/4
84 Numerical results: The step test (Re=1000) Mesh :10794 elements, 2665 nodes Pressure imposed on the inlet and outlet boundaries. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 35/4
85 Numerical results: The step test (Re=1000) Streamlines closed to the step Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 36/4
86 Numerical results: The step test (Re=1000) View from the bottom Lateral view Velocity near the step Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 37/4
87 Numerical results: The step test (Re=1000) Streamlines closed to the step Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 38/4
88 Numerical results: The step test (Re=1000) Streamlines closed to the step Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 39/4
89 Numerical results: The step test (Re=1000) Vorticity lines Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 40/4
90 Numerical results: The step test (Re=1000) Pressure Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 41/4
91 Numerical results: T-shaped domain (Re=100) Mesh: elem., 2469 nodes Pressure (imposed on inlet and outlet) Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 42/4
92 Numerical results: T-shaped domain (Re=100) Streamlines Velocity Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 43/4
93 Numerical results: T-shaped domain (Re=100) Vorticity lines Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 44/4
94 Numerical results: T-shaped domain (Re=10e4) Mesh: elem., 5024 nodes Pressure imposed on the inlet and outlet boundaries. Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 45/4
95 Numerical results: T-shaped domain (Re=10e4) Streamlines and Velocity Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 46/4
96 Numerical results: T-shaped domain (Re=10e4) Vorticity lines and pressure Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 47/4
97 Numerical results: T-shaped domain Streamlines for Re=100 and Re=10000 Stabilized Finite Element Method for 3D Navier-Stokes Equations p. 48/4
Application of A Priori Error Estimates for Navier-Stokes Equations to Accurate Finite Element Solution
Application of A Priori Error Estimates for Navier-Stokes Equations to Accurate Finite Element Solution P. BURDA a,, J. NOVOTNÝ b,, J. ŠÍSTE a, a Department of Mathematics Czech University of Technology
More informationPrecise FEM solution of corner singularity using adjusted mesh applied to 2D flow
Precise FEM solution of corner singularity using adjusted mesh applied to 2D flow Jakub Šístek, Pavel Burda, Jaroslav Novotný Department of echnical Mathematics, Czech echnical University in Prague, Faculty
More informationAn introduction to mesh generation Part IV : elliptic meshing
Elliptic An introduction to mesh generation Part IV : elliptic meshing Department of Civil Engineering, Université catholique de Louvain, Belgium Elliptic Curvilinear Meshes Basic concept A curvilinear
More informationarxiv: v1 [math.na] 20 Sep 2016
arxiv:1609.06236v1 [math.na] 20 Sep 2016 A Local Mesh Modification Strategy for Interface Problems with Application to Shape and Topology Optimization P. Gangl 1,2 and U. Langer 3 1 Doctoral Program Comp.
More informationImplementation of the Continuous-Discontinuous Galerkin Finite Element Method
Implementation of the Continuous-Discontinuous Galerkin Finite Element Method Andrea Cangiani, John Chapman, Emmanuil Georgoulis and Max Jensen Abstract For the stationary advection-diffusion problem the
More informationFully discrete Finite Element Approximations of Semilinear Parabolic Equations in a Nonconvex Polygon
Fully discrete Finite Element Approximations of Semilinear Parabolic Equations in a Nonconvex Polygon Tamal Pramanick 1,a) 1 Department of Mathematics, Indian Institute of Technology Guwahati, Guwahati
More informationSubdivision-stabilised immersed b-spline finite elements for moving boundary flows
Subdivision-stabilised immersed b-spline finite elements for moving boundary flows T. Rüberg, F. Cirak Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, U.K. Abstract
More information1.2 Numerical Solutions of Flow Problems
1.2 Numerical Solutions of Flow Problems DIFFERENTIAL EQUATIONS OF MOTION FOR A SIMPLIFIED FLOW PROBLEM Continuity equation for incompressible flow: 0 Momentum (Navier-Stokes) equations for a Newtonian
More informationMESHLESS SOLUTION OF INCOMPRESSIBLE FLOW OVER BACKWARD-FACING STEP
Vol. 12, Issue 1/2016, 63-68 DOI: 10.1515/cee-2016-0009 MESHLESS SOLUTION OF INCOMPRESSIBLE FLOW OVER BACKWARD-FACING STEP Juraj MUŽÍK 1,* 1 Department of Geotechnics, Faculty of Civil Engineering, University
More informationAUTOMATED ADAPTIVE ERROR CONTROL IN FINITE ELEMENT METHODS USING THE ERROR REPRESENTATION AS ERROR INDICATOR
AUTOMATED ADAPTIVE ERROR CONTROL IN FINITE ELEMENT METHODS USING THE ERROR REPRESENTATION AS ERROR INDICATOR JOHAN JANSSON, JOHAN HOFFMAN, CEM DEGIRMENCI, JEANNETTE SPÜHLER Abstract. In this paper we present
More informationOn the high order FV schemes for compressible flows
Applied and Computational Mechanics 1 (2007) 453-460 On the high order FV schemes for compressible flows J. Fürst a, a Faculty of Mechanical Engineering, CTU in Prague, Karlovo nám. 13, 121 35 Praha, Czech
More informationUnstructured Mesh Generation for Implicit Moving Geometries and Level Set Applications
Unstructured Mesh Generation for Implicit Moving Geometries and Level Set Applications Per-Olof Persson (persson@mit.edu) Department of Mathematics Massachusetts Institute of Technology http://www.mit.edu/
More informationINTRODUCTION TO FINITE ELEMENT METHODS
INTRODUCTION TO FINITE ELEMENT METHODS LONG CHEN Finite element methods are based on the variational formulation of partial differential equations which only need to compute the gradient of a function.
More informationRobust Numerical Methods for Singularly Perturbed Differential Equations SPIN Springer s internal project number, if known
Hans-Görg Roos Martin Stynes Lutz Tobiska Robust Numerical Methods for Singularly Perturbed Differential Equations SPIN Springer s internal project number, if known Convection-Diffusion-Reaction and Flow
More informationConvergence Results for Non-Conforming hp Methods: The Mortar Finite Element Method
Contemporary Mathematics Volume 218, 1998 B 0-8218-0988-1-03042-9 Convergence Results for Non-Conforming hp Methods: The Mortar Finite Element Method Padmanabhan Seshaiyer and Manil Suri 1. Introduction
More informationOn a nested refinement of anisotropic tetrahedral grids under Hessian metrics
On a nested refinement of anisotropic tetrahedral grids under Hessian metrics Shangyou Zhang Abstract Anisotropic grids, having drastically different grid sizes in different directions, are efficient and
More informationDriven Cavity Example
BMAppendixI.qxd 11/14/12 6:55 PM Page I-1 I CFD Driven Cavity Example I.1 Problem One of the classic benchmarks in CFD is the driven cavity problem. Consider steady, incompressible, viscous flow in a square
More informationA parallel iterative approach for the Stokes Darcy coupling
A parallel iterative approach for the Stokes Darcy coupling Marco Discacciati*, Alfio Quarteroni**, Alberto Valli*** * Institute of Analysis and Scientific Computing, EPFL ** Institute of Analysis and
More informationMultigrid Solvers in CFD. David Emerson. Scientific Computing Department STFC Daresbury Laboratory Daresbury, Warrington, WA4 4AD, UK
Multigrid Solvers in CFD David Emerson Scientific Computing Department STFC Daresbury Laboratory Daresbury, Warrington, WA4 4AD, UK david.emerson@stfc.ac.uk 1 Outline Multigrid: general comments Incompressible
More informationSolving Partial Differential Equations on Overlapping Grids
**FULL TITLE** ASP Conference Series, Vol. **VOLUME**, **YEAR OF PUBLICATION** **NAMES OF EDITORS** Solving Partial Differential Equations on Overlapping Grids William D. Henshaw Centre for Applied Scientific
More informationA posteriori error estimation and anisotropy detection with the dual weighted residual method
Published in International Journal for Numerical Methods in Fluids Vol. 62, pp. 90-118, 2010 A posteriori error estimation and anisotropy detection with the dual weighted residual method Thomas Richter
More informationNumerical schemes for Hamilton-Jacobi equations, control problems and games
Numerical schemes for Hamilton-Jacobi equations, control problems and games M. Falcone H. Zidani SADCO Spring School Applied and Numerical Optimal Control April 23-27, 2012, Paris Lecture 2/3 M. Falcone
More informationFOURTH ORDER COMPACT FORMULATION OF STEADY NAVIER-STOKES EQUATIONS ON NON-UNIFORM GRIDS
International Journal of Mechanical Engineering and Technology (IJMET Volume 9 Issue 10 October 2018 pp. 179 189 Article ID: IJMET_09_10_11 Available online at http://www.iaeme.com/ijmet/issues.asp?jtypeijmet&vtype9&itype10
More informationAsymptotic Error Analysis
Asymptotic Error Analysis Brian Wetton Mathematics Department, UBC www.math.ubc.ca/ wetton PIMS YRC, June 3, 2014 Outline Overview Some History Romberg Integration Cubic Splines - Periodic Case More History:
More informationAPPROXIMATING PDE s IN L 1
APPROXIMATING PDE s IN L 1 Veselin Dobrev Jean-Luc Guermond Bojan Popov Department of Mathematics Texas A&M University NONLINEAR APPROXIMATION TECHNIQUES USING L 1 Texas A&M May 16-18, 2008 Outline 1 Outline
More informationImagery for 3D geometry design: application to fluid flows.
Imagery for 3D geometry design: application to fluid flows. C. Galusinski, C. Nguyen IMATH, Université du Sud Toulon Var, Supported by ANR Carpeinter May 14, 2010 Toolbox Ginzburg-Landau. Skeleton 3D extension
More informationContents. I The Basic Framework for Stationary Problems 1
page v Preface xiii I The Basic Framework for Stationary Problems 1 1 Some model PDEs 3 1.1 Laplace s equation; elliptic BVPs... 3 1.1.1 Physical experiments modeled by Laplace s equation... 5 1.2 Other
More informationPredictive Engineering and Computational Sciences. A Brief Survey of Error Estimation and Adaptivity. Paul T. Bauman
PECOS Predictive Engineering and Computational Sciences A Brief Survey of Error Estimation and Adaptivity Paul T. Bauman Institute for Computational Engineering and Sciences The University of Texas at
More informationElement Quality Metrics for Higher-Order Bernstein Bézier Elements
Element Quality Metrics for Higher-Order Bernstein Bézier Elements Luke Engvall and John A. Evans Abstract In this note, we review the interpolation theory for curvilinear finite elements originally derived
More informationDomain Decomposition and hp-adaptive Finite Elements
Domain Decomposition and hp-adaptive Finite Elements Randolph E. Bank 1 and Hieu Nguyen 1 Department of Mathematics, University of California, San Diego, La Jolla, CA 9093-011, USA, rbank@ucsd.edu. Department
More informationNumerical Simulation of Coupled Fluid-Solid Systems by Fictitious Boundary and Grid Deformation Methods
Numerical Simulation of Coupled Fluid-Solid Systems by Fictitious Boundary and Grid Deformation Methods Decheng Wan 1 and Stefan Turek 2 Institute of Applied Mathematics LS III, University of Dortmund,
More informationConforming Vector Interpolation Functions for Polyhedral Meshes
Conforming Vector Interpolation Functions for Polyhedral Meshes Andrew Gillette joint work with Chandrajit Bajaj and Alexander Rand Department of Mathematics Institute of Computational Engineering and
More informationDepartment of Computing and Software
Department of Computing and Software Faculty of Engineering McMaster University Assessment of two a posteriori error estimators for steady-state flow problems by A. H. ElSheikh, S.E. Chidiac and W. S.
More informationStability Analysis of the Muscl Method on General Unstructured Grids for Applications to Compressible Fluid Flow
Stability Analysis of the Muscl Method on General Unstructured Grids for Applications to Compressible Fluid Flow F. Haider 1, B. Courbet 1, J.P. Croisille 2 1 Département de Simulation Numérique des Ecoulements
More informationIncompressible Viscous Flow Simulations Using the Petrov-Galerkin Finite Element Method
Copyright c 2007 ICCES ICCES, vol.4, no.1, pp.11-18, 2007 Incompressible Viscous Flow Simulations Using the Petrov-Galerkin Finite Element Method Kazuhiko Kakuda 1, Tomohiro Aiso 1 and Shinichiro Miura
More informationDirect Surface Reconstruction using Perspective Shape from Shading via Photometric Stereo
Direct Surface Reconstruction using Perspective Shape from Shading via Roberto Mecca joint work with Ariel Tankus and Alfred M. Bruckstein Technion - Israel Institute of Technology Department of Computer
More informationSolutions of 3D Navier-Stokes benchmark problems with adaptive finite elements 1
Solutions of 3D Navier-Stokes benchmark problems with adaptive finite elements 1 M. Braack a T. Richter b a Institute of Applied Mathematics, University of Heidelberg, INF 294, 69120 Heidelberg, Germany
More informationThe Immersed Interface Method
The Immersed Interface Method Numerical Solutions of PDEs Involving Interfaces and Irregular Domains Zhiiin Li Kazufumi Ito North Carolina State University Raleigh, North Carolina Society for Industrial
More informationControl Volume Finite Difference On Adaptive Meshes
Control Volume Finite Difference On Adaptive Meshes Sanjay Kumar Khattri, Gunnar E. Fladmark, Helge K. Dahle Department of Mathematics, University Bergen, Norway. sanjay@mi.uib.no Summary. In this work
More informationFAST ALGORITHMS FOR CALCULATIONS OF VISCOUS INCOMPRESSIBLE FLOWS USING THE ARTIFICIAL COMPRESSIBILITY METHOD
TASK QUARTERLY 12 No 3, 273 287 FAST ALGORITHMS FOR CALCULATIONS OF VISCOUS INCOMPRESSIBLE FLOWS USING THE ARTIFICIAL COMPRESSIBILITY METHOD ZBIGNIEW KOSMA Institute of Applied Mechanics, Technical University
More informationA higher-order finite volume method with collocated grid arrangement for incompressible flows
Computational Methods and Experimental Measurements XVII 109 A higher-order finite volume method with collocated grid arrangement for incompressible flows L. Ramirez 1, X. Nogueira 1, S. Khelladi 2, J.
More informationPATCH TEST OF HEXAHEDRAL ELEMENT
Annual Report of ADVENTURE Project ADV-99- (999) PATCH TEST OF HEXAHEDRAL ELEMENT Yoshikazu ISHIHARA * and Hirohisa NOGUCHI * * Mitsubishi Research Institute, Inc. e-mail: y-ishi@mri.co.jp * Department
More informationcuibm A GPU Accelerated Immersed Boundary Method
cuibm A GPU Accelerated Immersed Boundary Method S. K. Layton, A. Krishnan and L. A. Barba Corresponding author: labarba@bu.edu Department of Mechanical Engineering, Boston University, Boston, MA, 225,
More informationCoupling of STAR-CCM+ to Other Theoretical or Numerical Solutions. Milovan Perić
Coupling of STAR-CCM+ to Other Theoretical or Numerical Solutions Milovan Perić Contents The need to couple STAR-CCM+ with other theoretical or numerical solutions Coupling approaches: surface and volume
More informationAn efficient filtered scheme for some first order Hamilton-Jacobi-Bellman equat
An efficient filtered scheme for some first order Hamilton-Jacobi-Bellman equations joint work with Olivier Bokanowski 2 and Maurizio Falcone SAPIENZA - Università di Roma 2 Laboratoire Jacques-Louis Lions,
More informationINTERIOR PENALTY DISCONTINUOUS GALERKIN METHOD ON VERY GENERAL POLYGONAL AND POLYHEDRAL MESHES
INTERIOR PENALTY DISCONTINUOUS GALERKIN METHOD ON VERY GENERAL POLYGONAL AND POLYHEDRAL MESHES LIN MU, JUNPING WANG, YANQIU WANG, AND XIU YE Abstract. This paper provides a theoretical foundation for interior
More informationA splitting method for numerical simulation of free surface flows of incompressible fluids with surface tension
A splitting method for numerical simulation of free surface flows of incompressible fluids with surface tension Kirill D. Nikitin Maxim A. Olshanskii Kirill M. Terekhov Yuri V. Vassilevski Abstract The
More informationNumerical Experiments
77 Chapter 4 Numerical Experiments 4.1 Error estimators and adaptive refinement Due to singularities the convergence of finite element solutions on uniform grids can be arbitrarily low. Adaptivity based
More informationAn Interface-fitted Mesh Generator and Polytopal Element Methods for Elliptic Interface Problems
An Interface-fitted Mesh Generator and Polytopal Element Methods for Elliptic Interface Problems Long Chen University of California, Irvine chenlong@math.uci.edu Joint work with: Huayi Wei (Xiangtan University),
More informationTransition modeling using data driven approaches
Center for urbulence Research Proceedings of the Summer Program 2014 427 ransition modeling using data driven approaches By K. Duraisamy AND P.A. Durbin An intermittency transport-based model for bypass
More informationSpline Solution Of Some Linear Boundary Value Problems
Applied Mathematics E-Notes, 8(2008, 171-178 c ISSN 1607-2510 Available free at mirror sites of http://www.math.nthu.edu.tw/ amen/ Spline Solution Of Some Linear Boundary Value Problems Abdellah Lamnii,
More informationLevel Set Methods for Two-Phase Flows with FEM
IT 14 071 Examensarbete 30 hp December 2014 Level Set Methods for Two-Phase Flows with FEM Deniz Kennedy Institutionen för informationsteknologi Department of Information Technology Abstract Level Set
More informationPossibility of Implicit LES for Two-Dimensional Incompressible Lid-Driven Cavity Flow Based on COMSOL Multiphysics
Possibility of Implicit LES for Two-Dimensional Incompressible Lid-Driven Cavity Flow Based on COMSOL Multiphysics Masanori Hashiguchi 1 1 Keisoku Engineering System Co., Ltd. 1-9-5 Uchikanda, Chiyoda-ku,
More informationPredicting Tumour Location by Modelling the Deformation of the Breast using Nonlinear Elasticity
Predicting Tumour Location by Modelling the Deformation of the Breast using Nonlinear Elasticity November 8th, 2006 Outline Motivation Motivation Motivation for Modelling Breast Deformation Mesh Generation
More informationALE Seamless Immersed Boundary Method with Overset Grid System for Multiple Moving Objects
Tenth International Conference on Computational Fluid Dynamics (ICCFD10), Barcelona,Spain, July 9-13, 2018 ICCFD10-047 ALE Seamless Immersed Boundary Method with Overset Grid System for Multiple Moving
More informationCompact Sets. James K. Peterson. September 15, Department of Biological Sciences and Department of Mathematical Sciences Clemson University
Compact Sets James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University September 15, 2017 Outline 1 Closed Sets 2 Compactness 3 Homework Closed Sets
More informationMODEL SELECTION AND REGULARIZATION PARAMETER CHOICE
MODEL SELECTION AND REGULARIZATION PARAMETER CHOICE REGULARIZATION METHODS FOR HIGH DIMENSIONAL LEARNING Francesca Odone and Lorenzo Rosasco odone@disi.unige.it - lrosasco@mit.edu June 6, 2011 ABOUT THIS
More informationMechanical Vibrations Chapter 8
Mechanical Vibrations Chapter 8 Peter Avitabile Mechanical Engineering Department University of Massachusetts Lowell 1 Dr. Peter Avitabile Numerical Methods - Direct Integration The equation of motion
More informationHp Generalized FEM and crack surface representation for non-planar 3-D cracks
Hp Generalized FEM and crack surface representation for non-planar 3-D cracks J.P. Pereira, C.A. Duarte, D. Guoy, and X. Jiao August 5, 2008 Department of Civil & Environmental Engineering, University
More informationFLUID FLOW TOPOLOGY OPTIMIZATION USING POLYGINAL ELEMENTS: STABILITY AND COMPUTATIONAL IMPLEMENTATION IN PolyTop
FLUID FLOW TOPOLOGY OPTIMIZATION USING POLYGINAL ELEMENTS: STABILITY AND COMPUTATIONAL IMPLEMENTATION IN PolyTop Anderson Pereira (Tecgraf/PUC-Rio) Cameron Talischi (UIUC) - Ivan Menezes (PUC-Rio) - Glaucio
More informationENERGY-224 Reservoir Simulation Project Report. Ala Alzayer
ENERGY-224 Reservoir Simulation Project Report Ala Alzayer Autumn Quarter December 3, 2014 Contents 1 Objective 2 2 Governing Equations 2 3 Methodolgy 3 3.1 BlockMesh.........................................
More informationStudies of the Continuous and Discrete Adjoint Approaches to Viscous Automatic Aerodynamic Shape Optimization
Studies of the Continuous and Discrete Adjoint Approaches to Viscous Automatic Aerodynamic Shape Optimization Siva Nadarajah Antony Jameson Stanford University 15th AIAA Computational Fluid Dynamics Conference
More informationDevelopment of immersed boundary methods for complex geometries
Center for Turbulence Research Annual Research Briefs 1998 325 Development of immersed boundary methods for complex geometries By J. Mohd-Yusof 1. Motivation and objectives For fluid dynamics simulations,
More informationInvestigation of cross flow over a circular cylinder at low Re using the Immersed Boundary Method (IBM)
Computational Methods and Experimental Measurements XVII 235 Investigation of cross flow over a circular cylinder at low Re using the Immersed Boundary Method (IBM) K. Rehman Department of Mechanical Engineering,
More informationCFD MODELING FOR PNEUMATIC CONVEYING
CFD MODELING FOR PNEUMATIC CONVEYING Arvind Kumar 1, D.R. Kaushal 2, Navneet Kumar 3 1 Associate Professor YMCAUST, Faridabad 2 Associate Professor, IIT, Delhi 3 Research Scholar IIT, Delhi e-mail: arvindeem@yahoo.co.in
More informationCFD Analysis of 2-D Unsteady Flow Past a Square Cylinder at an Angle of Incidence
CFD Analysis of 2-D Unsteady Flow Past a Square Cylinder at an Angle of Incidence Kavya H.P, Banjara Kotresha 2, Kishan Naik 3 Dept. of Studies in Mechanical Engineering, University BDT College of Engineering,
More informationThe Level Set Method THE LEVEL SET METHOD THE LEVEL SET METHOD 203
The Level Set Method Fluid flow with moving interfaces or boundaries occur in a number of different applications, such as fluid-structure interaction, multiphase flows, and flexible membranes moving in
More informationBackward facing step Homework. Department of Fluid Mechanics. For Personal Use. Budapest University of Technology and Economics. Budapest, 2010 autumn
Backward facing step Homework Department of Fluid Mechanics Budapest University of Technology and Economics Budapest, 2010 autumn Updated: October 26, 2010 CONTENTS i Contents 1 Introduction 1 2 The problem
More informationApproximating Polygonal Objects by Deformable Smooth Surfaces
Approximating Polygonal Objects by Deformable Smooth Surfaces Ho-lun Cheng and Tony Tan School of Computing, National University of Singapore hcheng,tantony@comp.nus.edu.sg Abstract. We propose a method
More informationH (div) approximations based on hp-adaptive curved meshes using quarter point elements
Trabalho apresentado no CNMAC, Gramado - RS, 2016. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics H (div) approximations based on hp-adaptive curved meshes using quarter
More informationImage denoising using TV-Stokes equation with an orientation-matching minimization
Image denoising using TV-Stokes equation with an orientation-matching minimization Xue-Cheng Tai 1,2, Sofia Borok 1, and Jooyoung Hahn 1 1 Division of Mathematical Sciences, School of Physical Mathematical
More informationIsogeometric Analysis of Fluid-Structure Interaction
Isogeometric Analysis of Fluid-Structure Interaction Y. Bazilevs, V.M. Calo, T.J.R. Hughes Institute for Computational Engineering and Sciences, The University of Texas at Austin, USA e-mail: {bazily,victor,hughes}@ices.utexas.edu
More informationNon-Linear Finite Element Methods in Solid Mechanics Attilio Frangi, Politecnico di Milano, February 3, 2017, Lesson 1
Non-Linear Finite Element Methods in Solid Mechanics Attilio Frangi, attilio.frangi@polimi.it Politecnico di Milano, February 3, 2017, Lesson 1 1 Politecnico di Milano, February 3, 2017, Lesson 1 2 Outline
More informationGEOMETRIC MULTIGRID METHODS ON STRUCTURED TRIANGULAR GRIDS FOR INCOMPRESSIBLE NAVIER-STOKES EQUATIONS AT LOW REYNOLDS NUMBERS
INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING Volume 11, Number 2, Pages 400 411 c 2014 Institute for Scientific Computing and Information GEOMETRIC MULTIGRID METHODS ON STRUCTURED TRIANGULAR
More informationFinite Element Convergence for Time-Dependent PDEs with a Point Source in COMSOL 4.2
Finite Element Convergence for Time-Dependent PDEs with a Point Source in COMSOL 4.2 David W. Trott and Matthias K. Gobbert Department of Mathematics and Statistics, University of Maryland, Baltimore County,
More informationADAPTIVE BEM-BASED FEM ON POLYGONAL MESHES FROM VIRTUAL ELEMENT METHODS
ECCOMAS Congress 6 VII European Congress on Computational Methods in Applied Sciences and Engineering M. Papadrakakis, V. Papadopoulos, G. Stefanou, V. Plevris (eds.) Crete Island, Greece, 5 June 6 ADAPTIVE
More information3-D Wind Field Simulation over Complex Terrain
3-D Wind Field Simulation over Complex Terrain University Institute for Intelligent Systems and Numerical Applications in Engineering Congreso de la RSME 2015 Soluciones Matemáticas e Innovación en la
More informationCS205b/CME306. Lecture 9
CS205b/CME306 Lecture 9 1 Convection Supplementary Reading: Osher and Fedkiw, Sections 3.3 and 3.5; Leveque, Sections 6.7, 8.3, 10.2, 10.4. For a reference on Newton polynomial interpolation via divided
More informationAn Efficient Error Indicator with Mesh Smoothing for Mesh Refinement: Application to Poisson and Laplace Problems
An Efficient Error Indicator with Mesh Smoothing for Mesh Refinement: Application to Poisson and Laplace Problems ZHAOCHENG XUAN *, YAOHUI LI, HONGJIE WANG Tianjin University of Technology and Education
More informationBenchmark 3D: the VAG scheme
Benchmark D: the VAG scheme Robert Eymard, Cindy Guichard and Raphaèle Herbin Presentation of the scheme Let Ω be a bounded open domain of R, let f L 2 Ω) and let Λ be a measurable function from Ω to the
More informationComputational Flow Simulations around Circular Cylinders Using a Finite Element Method
Copyright c 2008 ICCES ICCES, vol.5, no.4, pp.199-204 Computational Flow Simulations around Circular Cylinders Using a Finite Element Method Kazuhiko Kakuda 1, Masayuki Sakai 1 and Shinichiro Miura 2 Summary
More informationNumerical Study of Turbulent Flow over Backward-Facing Step with Different Turbulence Models
Numerical Study of Turbulent Flow over Backward-Facing Step with Different Turbulence Models D. G. Jehad *,a, G. A. Hashim b, A. K. Zarzoor c and C. S. Nor Azwadi d Department of Thermo-Fluids, Faculty
More informationcourse outline basic principles of numerical analysis, intro FEM
idealization, equilibrium, solutions, interpretation of results types of numerical engineering problems continuous vs discrete systems direct stiffness approach differential & variational formulation introduction
More informationImprovement of Reduced Order Modeling based on POD
Author manuscript, published in "The Fifth International Conference on Computational Fluid Dynamics (28)" Improvement of Reduced Order Modeling based on POD M. Bergmann 1, C.-H. Bruneau 2, and A. Iollo
More informationCommutative filters for LES on unstructured meshes
Center for Turbulence Research Annual Research Briefs 1999 389 Commutative filters for LES on unstructured meshes By Alison L. Marsden AND Oleg V. Vasilyev 1 Motivation and objectives Application of large
More informationAn Introduction to Viscosity Solutions: theory, numerics and applications
An Introduction to Viscosity Solutions: theory, numerics and applications M. Falcone Dipartimento di Matematica OPTPDE-BCAM Summer School Challenges in Applied Control and Optimal Design July 4-8, 2011,
More informationIndex. C m (Ω), 141 L 2 (Ω) space, 143 p-th order, 17
Bibliography [1] J. Adams, P. Swarztrauber, and R. Sweet. Fishpack: Efficient Fortran subprograms for the solution of separable elliptic partial differential equations. http://www.netlib.org/fishpack/.
More informationarxiv: v1 [math.na] 7 Jul 2014
arxiv:1407.1567v1 [math.na] 7 Jul 2014 FINITE VOLUME SCHEMES FOR DIFFUSION EQUATIONS: INTRODUCTION TO AND REVIEW OF MODERN METHODS JEROME DRONIOU School of Mathematical Sciences, Monash University Victoria
More informationA ow-condition-based interpolation nite element procedure for triangular grids
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS Int. J. Numer. Meth. Fluids 2006; 51:673 699 Published online in Wiley InterScience (www.interscience.wiley.com).1246 A ow-condition-based interpolation
More informationA MESH EVOLUTION ALGORITHM BASED ON THE LEVEL SET METHOD FOR GEOMETRY AND TOPOLOGY OPTIMIZATION
A MESH EVOLUTION ALGORITHM BASED ON THE LEVEL SET METHOD FOR GEOMETRY AND TOPOLOGY OPTIMIZATION G. ALLAIRE 1 C. DAPOGNY 2,3, P. FREY 2 1 Centre de Mathématiques Appliquées (UMR 7641), École Polytechnique
More informationAdaptive numerical methods
METRO MEtallurgical TRaining On-line Adaptive numerical methods Arkadiusz Nagórka CzUT Education and Culture Introduction Common steps of finite element computations consists of preprocessing - definition
More informationOn incompressible flow simulations using Scott-Vogelius finite elements
On incompressible flow simulations using Scott-Vogelius finite elements Ben Cousins Sabine Le Borne Alexander Linke Leo G. Rebholz Zhen Wang Abstract Recent research has shown that in some practically
More informationOutline. Level Set Methods. For Inverse Obstacle Problems 4. Introduction. Introduction. Martin Burger
For Inverse Obstacle Problems Martin Burger Outline Introduction Optimal Geometries Inverse Obstacle Problems & Shape Optimization Sensitivity Analysis based on Gradient Flows Numerical Methods University
More informationChapter 6. Curves and Surfaces. 6.1 Graphs as Surfaces
Chapter 6 Curves and Surfaces In Chapter 2 a plane is defined as the zero set of a linear function in R 3. It is expected a surface is the zero set of a differentiable function in R n. To motivate, graphs
More informationCell-Like Maps (Lecture 5)
Cell-Like Maps (Lecture 5) September 15, 2014 In the last two lectures, we discussed the notion of a simple homotopy equivalences between finite CW complexes. A priori, the question of whether or not a
More informationMATHEMATICAL ANALYSIS, MODELING AND OPTIMIZATION OF COMPLEX HEAT TRANSFER PROCESSES
MATHEMATICAL ANALYSIS, MODELING AND OPTIMIZATION OF COMPLEX HEAT TRANSFER PROCESSES Goals of research Dr. Uldis Raitums, Dr. Kārlis Birģelis To develop and investigate mathematical properties of algorithms
More informationImage Smoothing and Segmentation by Graph Regularization
Image Smoothing and Segmentation by Graph Regularization Sébastien Bougleux 1 and Abderrahim Elmoataz 1 GREYC CNRS UMR 6072, Université de Caen Basse-Normandie ENSICAEN 6 BD du Maréchal Juin, 14050 Caen
More informationFebruary 2017 (1/20) 2 Piecewise Polynomial Interpolation 2.2 (Natural) Cubic Splines. MA378/531 Numerical Analysis II ( NA2 )
f f f f f (/2).9.8.7.6.5.4.3.2. S Knots.7.6.5.4.3.2. 5 5.2.8.6.4.2 S Knots.2 5 5.9.8.7.6.5.4.3.2..9.8.7.6.5.4.3.2. S Knots 5 5 S Knots 5 5 5 5.35.3.25.2.5..5 5 5.6.5.4.3.2. 5 5 4 x 3 3.5 3 2.5 2.5.5 5
More informationCollocation and optimization initialization
Boundary Elements and Other Mesh Reduction Methods XXXVII 55 Collocation and optimization initialization E. J. Kansa 1 & L. Ling 2 1 Convergent Solutions, USA 2 Hong Kong Baptist University, Hong Kong
More informationUniversity of Ostrava. Fuzzy Transform of a Function on the Basis of Triangulation
University of Ostrava Institute for Research and Applications of Fuzzy Modeling Fuzzy Transform of a Function on the Basis of Triangulation Dagmar Plšková Research report No. 83 2005 Submitted/to appear:
More information