( ) A i,j. Appendices. A. Sensitivity of the Van Leer Fluxes The flux Jacobians of the inviscid flux vector in Eq.(3.2), and the Van Leer fluxes in

Size: px
Start display at page:

Download "( ) A i,j. Appendices. A. Sensitivity of the Van Leer Fluxes The flux Jacobians of the inviscid flux vector in Eq.(3.2), and the Van Leer fluxes in"

Transcription

1 Appendices A. Sensitivity of the Van Leer Fluxes The flux Jacobians of the inviscid flux vector in Eq.(3.2), and the Van Leer fluxes in Eq.(3.11), can be found in the literature [9,172,173] and are therefore omitted here. The sensitivity of the Van Leer fluxes, for higher-order spatially accurate discrete sensitivity analysis on unstructured grids, has been performed and presented for the first time in the current research. These sensitivities may be derived by noting that for unstructured grids there are two means by which the mesh dependence on the design variables may influence the flux vector; the metric terms, N { η x η y η z } T, the cell face area, A f, and the upwind interpolation scheme, Q f { ρ u v w p} T. These dependencies may be symbolically written for the residual vector as R jκ ( i) + E i,j N N + E i,j N + N + E i,j Q f Q f + E i,j + A i,j Q f Q f + ( ) A i,j + E + i,j + E i,j (A.1) Recall from section 3.1.2, that the determination of the appropriate fluxes are based upon the Mach number normal to the cell face. For supersonic flow through the cell face, the flux vector given by Eq.(3.2) is used with the primitive variables interpolated to the cell interfaces. The sensitivity of this flux vector with respect to the metric dependence on the design variables, i.e., N η x η y T η z, may be expressed as 117

2 ρ Θ β k Q f ρu Θ + p η x β Q f k E N ρv Θ + p η y N β Q f k ρw Θ + p η z β Q f k ( ρe o + p) Θ β k Q f (A.2a) and with respect to the dependence of the upwind interpolation on the design variables Q f ρ u v w p T as E Q f Q f ρ Θ + ρ Θ N ρ uθ + ρ u Θ + ρu Θ + p η x β N k ρ vθ + ρ v Θ + ρv Θ + p η β y N k ρ wθ + ρ w Θ + ρw Θ + p η N β y k ( ) ρe o + p Θ + ( ρe o + p) Θ N (A.2b) where the sensitivity of the normal velocity is the combination Θ Θ + Θ β Q f k N (A.3a) with 118

3 Θ Q f u η x + v η y + w η z ; Θ N u η x + v η y + w η z (A.3b) and the sensitivity of the total enthalpy is given by ( ρe o + p) γ p + ρ u 2 + v 2 + w 2 + ρ u u + v v + w w γ 1 2 (A.4) For subsonic flow through the cell face, the split Van Leer fluxes in Eq.(3.11) are utilized. The sensitivity of these fluxes may be expressed as E N N + E Q f Q f f mass f mass f mass f mass f mom1 f mom2 f mom3 f mass f + f mom1 mass f mom2 + f mass + f mass f mom3 f f e + f e mass (A.5) where the sensitivity of the mass flux contains the contributions f mass f mass + f mass β Q k f N (A.6a) with f mass Q f ρa 2 M n 1 ( ) M n (A.6b) Q f f mass N 1 ρ 4 a M β n 1 k ( ) 2 + ρ a ( ) 2 + 2ρa( M n 1) M n M n 1 N (A.6c) The sensitivity of the f mom1 term is the combination 119

4 f mom1 f mom1 + f mom1 β Q k f N (A.7a) where f mom1 η x β Q k f ( Θ 2a) γ η x γ Θ Q f (A.7b) f mom1 N u + η x γ Θ 2 a β N k (A.7c) Analogous relations may be written for f mom2 sensitivity for the energy term is and f mom3. Similarly the f e f e Q f + f e N (A.8a) where f e 2 [ Q γ 2 1 ( 1 γ )Θ ( γ 1)a ] Θ f Q f (A.8b) f e N 2 ( γ 2 1 γ )Θ ( γ 1)a 1 { } Θ N + u u + v v + w w + { 2a ( γ 1)Θ } a (A.8c) In the above equations the sensitivities of the normal Mach number are given by M n 1 Θ ; a β Q f k Q f M n N 1 Θ a N Θ a a 2 (A.9) where the sensitivity for the speed of sound is a γ 2a 1 ρ p p ρ 2 ρ (A.10) 120

5 As seen, the sensitivity of the inviscid split fluxes requires the determination of the sensitivity of the metric terms and the sensitivity of the upwind interpolation scheme. The evaluation of the metric terms on unstructured grids and the corresponding sensitivity of these terms are presented below in Appendix C. The sensitivity of the upwind interpolation scheme, using both the inverse-distance and the psuedo-laplacian weighting methods, are presented in Appendix D. B. Jacobians/Sensitivity of the Boundary Conditions The boundary-condition types utilized in the current work are inviscid solid boundary (flow tangency) and characteristic inflow/outflow. These boundary conditions are those most commonly used in inviscid CFD analysis and may be easily found in the literature; for example, see reference 128. Furthermore, a first-order implementation of these boundary conditions is utilized in the current research. This implementation simply uses the cell center values of the primitive variables adjacent to the boundary faces as opposed to the interpolation of these variables to the boundary faces. A more detailed description and comparison of both implementations has been reported Ref. 129 for unstructured grid schemes. The most common approach, however, is the first-order one. The boundary values of the primitive variables Q b for flow tangency are specified as u b u o Θ o η x ; ρ b ρ o v b v o Θ o η y ; w b w o Θ o η z p b p o (B.1) where the normal velocity at the boundary is computed from the interior velocity components as Θ o u o η x + v o η y + w o η z (B.2) The state equation for the boundary conditions may be express as 121

6 B( Q o,q b,x ) ρ o ρ b u o Θ o η x u b v o Θ o η y v b 0 (B.3) w o Θ o η z w b p o p b The Jacobian of this state equation, with respect to the interior state variables, is derived as B Q o η x η x η y η x η z 0 0 η x η y 2 1 η y η y η z η x η z η y η z 1 η z (B.4) and with respect to the state variables on the boundary B Q b I [ ] B Q b 1 (B.5) where I is the identity matrix. The inverse of this matrix is required in the sensitivity analysis using either the pre-eliminated form of the sensitivity equation (e.g., Eqs.(3.26a and b)) or the incremental form (e.g., Eq.(4.12)). The sensitivity of the boundary state equation with respect to the design variables for the flow tangency condition may be written as 0 Θ o η η x + Θ x o B Θ η o η y + Θ y o Θ o η η z + Θ z o 0 (B.6) where 122

7 Θ o u o η x + v o η y + w o η z (B.7) For characteristic inflow/outflow boundary conditions, the Riemann invariants corresponding to the incoming and outgoing waves traveling in the characteristic directions defined normal to the boundary are applied at the far-field. The two locally one-dimensional Riemann invariants are given by where Θ o is given above and R + Θ o + 2a o γ 1 ; R Θ 2a γ 1 (B.8) a o γ p o ρ o 1 2 ; a γ p ρ 1 2 ; Θ u η x + v η y + w η z (B.9) The invariants are used to determine the locally normal velocity and speed of sound ( ) ; a γ 1 ( R + R ) (B.10) Θ 1 2 R+ + R For outflow (Θ > 0) on the boundary, the velocities are defined as u b u o + η x ( Θ Θ o ) ; v b v o +η y ( Θ Θ o ) ; w b w o +η z ( Θ Θ o ) (B.11) whereas for inflow (Θ < 0) on the boundary u b u + η x ( Θ Θ ) ; v b v +η y ( Θ Θ ) ; w b w +η z ( Θ Θ ) (B.12) The density on the boundary is computed from the entropy relation 4 ρ b a 2 γ S 1 γ 1 (B.13) with the entropy function S evaluated as Θ > 0 S S o p o γ ; Θ < 0 S S p γ ρ o ρ (B.14) 123

8 Then the corresponding pressure on the boundary is computed from the equation of state p b ρ b a 2 γ (B.15) Denoting for outflow ς o and for inflow ς, these boundary conditions may be written in state equation form as B( Q o,q b,x ) a 2 γ S ς u ς + η x Θ Θ ς v ς + η y Θ Θ ς w ς + η z Θ Θ ς ρ b a 2 p b γ 1 γ 1 ρb ( ) u b ( ) v b ( ) w b (B.16) The Jacobians of the state equation with respect to the interior state vector, for characteristic inflow/outflow boundary conditions may be derived as B Q o ξ 1 φ 1 Θ Θ η x 1+ η ρ x φ 3 η x φ 4 η x φ 5 η x o p o Θ Θ η y η y φ 3 1+ η y φ 4 η y φ 5 η y ρ o p o Θ Θ η z η z φ 3 η z φ 4 1+ η z φ 5 η z ρ o p o a a a a a ξ 2 ξ 2 ξ 2 ξ 2 ξ 2 ρ o u o v o w o p o ξ 1 a u o ξ 1 a v o ξ 1 a w o ξ 1 φ 2 (B.17a) where ξ 1 2a γ γ 1 γ S ς a 2 ( ) S ς 2 γ γ 1 (B.17b) 124

9 φ 1 a a S ς δ ρ o 2S ς ; ς ρ o φ 2 a p o a 2S ς δ ς S ς p o (B.17c) and φ 3 Θ u o δ ς Θ ς u o ; φ 4 Θ v o δ ς Θ ς v o ξ 2 2 ρ b a γ ; φ 5 Θ w o δ ς Θ ς w o (B.17d) (B.17e) where δ ς 1 for outflow (ς o) and δ ς 0 for inflow (ς ). The derivatives of the local normal velocity and speed of sound are Θ Q o γ p o Θ ρ o 2 2( γ 1)a o ρ o Θ u o η x 2 Θ v o η y 2 ; Θ w o η z 2 Θ p γ o ( γ 1)a o ρ o a γ 1 Θ Q o 2 Q o (B.17f) The derivative of the normal velocity for inflow ( ς ) is zero, and for outflow For the state variables on the boundary Θ ς o 0 η Q x η y η z 0 o { } T (B.17g) B I Q b [ ] + Elem(5,1); Elem(5,1) a 2 γ (B.18) Once again, the inverse of this matrix is needed in the sensitivity analysis, and from the above form, the inverse is simply B Q b 1 [ I ] Elem(5,1) (B.19) That is, only a change in sign of the element in location (5,1) is required for the inverse. 125

10 The sensitivity of the boundary state equation with respect to the design variables is given by 2 γ 2a a 2 γ 1 a γ ( γ 1)S ς γ S ς η x Θ Θ Θ β ς k ( ) +η x Θ ς B η y Θ Θ Θ β ς k ( ) +η y Θ ς η z Θ Θ Θ β ς k ( ) +η z Θ ς 2 ρ b a a γ β k (B.20) with the local speed of sound and normal velocity sensitivity given by a γ 1 u 4 o u Θ 1 2 ( ) η x u o + u ( ) η x ( ) η y + v o v ( ) η y + v o + v ( ) η z + w o w ( ) η z + w o + w (B.21) (B.22) and where Θ ς 1 2 u ς η x η y η + v β ς + w z k β ς k (B.23) is computed based on either an inflow or outflow condition. The sensitivity of the boundary state equation, like the sensitivity of the flux vectors for the interior cell state equation discussed in Appendix A, require the metric sensitivity derivatives. The evaluation of the metric terms on an unstructured grid, and the corresponding sensitivity, are discussed in Appendix C. 126

11 C. Sensitivity of the Metric Terms Expressions for the metric terms, and the corresponding sensitivity of these expressions, may be derived for a typical tetrahedral cell (see Fig. C.1) by first defining the edge vectors L 2 l 2 x L 3 l 3 x L 4 l 4 x y z { l 2 l 2 } T x n2 x n1 y z { l 3 l 3 } T x n3 x n1 y z { l 4 l 4 } T x n4 x n1 { } T (C.1a) ( ) ( y n2 y n1 ) ( z n2 z n1 ) { } T (C.1b) ( ) ( y n3 y n1 ) ( z n3 z n1 ) { } T (C.1c) ( ) ( y n4 y n1 ) ( z n4 z n1 ) where the sensitivities of these vectors with respect to the shape design variables are L 2 l x y z T 2 l 2 l 2 L 3 l x y z T 3 l 3 l 3 L 4 l x y T z 4 l 4 l 4 (C.2a) (C.2b) (C.2c) where, for example, l 2 x x n2 x n1 ; l 2 y y n2 y n1 ; l 2 z z n2 z n1 (C.3) In Eq.(C.3) the quantities x n, y n, and z n are the grid sensitivity terms discussed in Chapter 5. Similar expressions may be written for components of L 3 and L 4. The area of face n1-n2-n3 may be computed as A f 1 2 L 2 L a 2 2 x + a y + 2 [ az ] 12 ( ) 2 + l x 3 l z 2 l x z ( 2 l 3 ) 2 + l x 2 l y 3 l x y ( 3 l 2 ) 2 1 l y 2 2 l z 3 l z y 2 l 3 with the sensitivity of the face area given by 12 (C.4) 127

12 A f A f 1 a a x a y a 4 A x + a f β y + a z k β z k (C.5) where a x l y 2 z l β 3 + y l z 3 l2 l z 2 y l k β 3 + z l y 3 l2 k a y l x 3 z l β 2 + x l z 2 l3 l x 2 z l k β 3 + x l z 3 l2 k a z l x 2 y l β 3 + x l y 3 l2 l x 3 y l k β 2 + x l y 2 l3 k (C.6a) (C.6b) (C.6c) The normal direction, referred to as the direction cosines, for this face may be evaluated as N { η x η y η z } T L 2 L 3 L 2 L 3 (C.7) L 2 L 3 2 A f with the corresponding sensitivity N N 1 2 L 2 L 3 + L 2 L 3 1 ( A f ) 2 A f L 2 L 3 A f (C.8) Once again, similar expressions may be easily written for the other faces of the tetrahedron. The centroid of the tetrahedral cell is determined as x c 1 ( 4 x n1 + x n2 + x n3 + x n4 ) (C.9a) y c 1 ( 4 y n1 + y n2 + y n3 + y n4 ) (C.9b) where z c 1 ( 4 z n1 + z n2 + z n3 + z n4 ) (C.9c) 128

13 x c 1 4 x n1 + x n2 + x n3 + x n4 (C.10a) y c 1 4 y n1 + y n2 + y n3 + y n 4 (C.10b) z c 1 4 z n1 + z n2 + z n3 + z n4 (C.10c) are the coordinate sensitivities of the centroid location. D. Sensitivity of the Spatial Differencing It was discussed in section 3.1.3, that the development of a higher-order spatially accurate scheme requires the interpolation of the state variables to the cell interfaces. For unstructured grid schemes, this interpolation is mesh dependent. Thus, the sensitivity of the interpolation given in Eq.(3.15) may be written as Q f [( Q + Q r v ) ] [( Q v r ) ] (D.1a) introducing the expression for the solution gradient in Eq.(3.16) yields Q f Q n1 + Q n2 + Q n3 Q n4 (D.1b) where the variables at the nodes are obtained from the multidimensional weighted averaging given in equation The sensitivity of this averaging with respect to the design variables is given by Q n nc w c,i i1 Q c,i nc w c,i i1 nc wc,i Q c,i i1 nc w c,i i1 nc w c,i i1 2 (D.2) 129

14 The sensitivity of the weighting factors, w c,i, depends on the algorithm used. In the current research, an inverse-distance and a psuedo-laplacian weighting procedure have been utilized. The sensitivity of each scheme is presented below. D.1 Inverse Distance Weighting The weighting factors for the inverse-distance procedure were given in equation The sensitivity of these factors may be written as w c,i x ( x) + y ( y ) + z ( z) ( x 2 + y 2 + z 2 ) 32 (D.3) with ( x) x c,i x n ; ( y ) y c,i y n ; ( z ) z c,i z n (D.4) where the sensitivity of the coordinates of the centroid location are given in equations C.10a through C.10c. D.2 Psuedo-Laplacian Weighting The weighting factors for this method have been given previously in equations 3.19a and 3.19b. Sensitivity of the weighting factors may be expressed as ( ) ( ) ( ) w c,i λ x x x + λ β x + λ y y y + λ k β y + λ z z z + λ k β z k (D.5) where ( x), ( y), and ( z) have been given above in equation D.4. The derivatives of the Lagrange multipliers may be expressed as λ x v Ω β I v y I v z k ( ) Ω v v I y I v z + I v y I v z (D.6a) 130

15 λ y v Ω β I v x I v z k ( ) + Ω v I v x I v z + I v x I v z λ z v Ω β I v x v k ( I y ) v I v x Ω I v y + v I x v I y (D.6b) (D.6c) On examining the components of v Ω, v I x, v I y, and v I z, which are given in Eqs.(3.20d-i), it can be observed that the derivatives of these components only include the derivatives of the centroid location and nodal coordinates. Once again, the derivatives of the centroid location are given above in equations C.10a to C.10c. E. Sensitivity of Common Output Functions For aerodynamic calculations, typical output functions from which objective functions and constraints may be defined are the lift coefficient, drag coefficient, and lift-to-drag ratio. Each will be discussed to follow. Lift Coefficient The lift coefficient is computed as C L F z cosα F x sinα q A ref (E.1) where α is the free-stream angle of attack, q is the dynamic pressure, A ref is the reference area, and the forces in the z- and x-directions are nbf nbf F z η z A f ( p j p ) ; F x η x A f ( p j p ) (E.2) j 1 where nbf is the number of boundary faces over which the pressure is integrated. To compute the sensitivity derivatives in Eqs.(2.6a and b), the derivatives with respect to the state vector and the design variables are required. The derivatives of the lift coefficient are j1 131

16 C L Q i nbf δ ij A f j ( η z cosα η x sinα) q A ref (E.3) where δ ij is the Kronecker delta, and C L nbf ( p j p ) η z A f cosα η x A f j1 q sinα A ref A ref (E.4) with η z A f A ref A ref η z A A f + η f A z η z A ref f 2 (E.5) A ref A similar expression may be written for η x A f. Note, if the reference area is fixed A ref throughout the design then the sensitivity of the reference area is zero. If the reference area used is the actual wetted surface area then the sensitivity of the reference area becomes A ref nbf A f j1 ; A ref A f nbf j1 (E.6) where the sensitivity of the face area has been given in Eq.(C.5) and the sensitivity of the metric terms are given in equation C.8. Drag Coefficient The drag coefficient is computed as C D F x cosα + F z sinα q A ref (E.7) 132

17 with the derivatives of the drag coefficient given by and C D C D 0 Q i nbf δ ij A f ( η x cosα + η z sinα) j1 q A ref nbf ( p j p ) η x A f cosα + η z A f j1 q sinα A ref A ref (E.8) (E.9) Note that the above assumes that the side slip angle is zero, but may be easily incorporated. Lift-to-Drag Ratio The derivatives of the lift-to-drag ratio may be expressed in terms of the derivatives of the lift coefficient and drag coefficient as follows ( C L C D ) Q C L Q C L C D C D Q C D (E.10) similarly ( ) C L C D C L C L C D C D C D (E.11) where all the terms in Eqs.(E.10 and E.11) have been given above. 133

18 n 4 L 4 n 2 n 3 L 2 L 3 n 1 Figure C.1: Typical unstructured grid tetrahedral cell. 134

Eigenmode Analysis of Boundary Conditions for the One-dimensional Preconditioned Euler Equations

Eigenmode Analysis of Boundary Conditions for the One-dimensional Preconditioned Euler Equations NASA/CR-1998-208741 ICASE Report No. 98-51 Eigenmode Analysis of Boundary Conditions for the One-dimensional Preconditioned Euler Equations David L. Darmofal Massachusetts Institute of Technology, Cambridge,

More information

AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS

AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS 1 / 43 AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS Treatment of Boundary Conditions These slides are partially based on the recommended textbook: Culbert

More information

Entry Aerodynamics MARYLAND U N I V E R S I T Y O F. Entry Aerodynamics. ENAE Launch and Entry Vehicle Design

Entry Aerodynamics MARYLAND U N I V E R S I T Y O F. Entry Aerodynamics. ENAE Launch and Entry Vehicle Design Atmospheric Regimes on Entry Basic fluid parameters Definition of Mean Free Path Rarified gas Newtonian flow Continuum Newtonian flow (hypersonics) 2014 David L. Akin - All rights reserved http://spacecraft.ssl.umd.edu

More information

A Multi-Dimensional Limiter for Hybrid Grid

A Multi-Dimensional Limiter for Hybrid Grid APCOM & ISCM 11-14 th December, 2013, Singapore A Multi-Dimensional Limiter for Hybrid Grid * H. W. Zheng ¹ 1 State Key Laboratory of High Temperature Gas Dynamics, Institute of Mechanics, Chinese Academy

More information

Finite volume method on unstructured grids

Finite volume method on unstructured grids Finite volume method on unstructured grids Praveen. C praveen@math.tifrbng.res.in Tata Institute of Fundamental Research Center for Applicable Mathematics Bangalore 560065 http://math.tifrbng.res.in/~praveen

More information

Solving the Euler Equations!

Solving the Euler Equations! http://www.nd.edu/~gtryggva/cfd-course/! Solving the Euler Equations! Grétar Tryggvason! Spring 0! The Euler equations for D flow:! where! Define! Ideal Gas:! ρ ρu ρu + ρu + p = 0 t x ( / ) ρe ρu E + p

More information

Estimation of grid-induced errors in computational fluid dynamics solutions using a discrete error transport equation

Estimation of grid-induced errors in computational fluid dynamics solutions using a discrete error transport equation Graduate Theses and Dissertations Graduate College 2009 Estimation of grid-induced errors in computational fluid dynamics solutions using a discrete error transport equation Brandon Williams Iowa State

More information

An Investigation of the Attainable Efficiency of Flight at Mach One or Just Beyond

An Investigation of the Attainable Efficiency of Flight at Mach One or Just Beyond An Investigation of the Attainable Efficiency of Flight at Mach One or Just Beyond Antony Jameson Department of Aeronautics and Astronautics AIAA Aerospace Sciences Meeting, Reno, NV AIAA Paper 2007-0037

More information

Deforming Composite Grids for Fluid Structure Interactions

Deforming Composite Grids for Fluid Structure Interactions Deforming Composite Grids for Fluid Structure Interactions Jeff Banks 1, Bill Henshaw 1, Don Schwendeman 2 1 Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore,

More information

A Non-Intrusive Polynomial Chaos Method For Uncertainty Propagation in CFD Simulations

A Non-Intrusive Polynomial Chaos Method For Uncertainty Propagation in CFD Simulations An Extended Abstract submitted for the 44th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada January 26 Preferred Session Topic: Uncertainty quantification and stochastic methods for CFD A Non-Intrusive

More information

Lecture 5.7 Compressible Euler Equations

Lecture 5.7 Compressible Euler Equations Lecture 5.7 Compressible Euler Equations Nomenclature Density u, v, w Velocity components p E t H u, v, w e S=c v ln p - c M Pressure Total energy/unit volume Total enthalpy Conserved variables Internal

More information

Multigrid Solution for High-Order Discontinuous Galerkin Discretizations of the Compressible Navier-Stokes Equations. Todd A.

Multigrid Solution for High-Order Discontinuous Galerkin Discretizations of the Compressible Navier-Stokes Equations. Todd A. Multigrid Solution for High-Order Discontinuous Galerkin Discretizations of the Compressible Navier-Stokes Equations by Todd A. Oliver B.S., Massachusetts Institute of Technology (22) Submitted to the

More information

A Crash-Course on the Adjoint Method for Aerodynamic Shape Optimization

A Crash-Course on the Adjoint Method for Aerodynamic Shape Optimization A Crash-Course on the Adjoint Method for Aerodynamic Shape Optimization Juan J. Alonso Department of Aeronautics & Astronautics Stanford University jjalonso@stanford.edu Lecture 19 AA200b Applied Aerodynamics

More information

An Introduction to the Discontinuous Galerkin Method

An Introduction to the Discontinuous Galerkin Method An Introduction to the Discontinuous Galerkin Method Krzysztof J. Fidkowski Aerospace Computational Design Lab Massachusetts Institute of Technology March 16, 2005 Computational Prototyping Group Seminar

More information

Entropy stable schemes for compressible flows on unstructured meshes

Entropy stable schemes for compressible flows on unstructured meshes Entropy stable schemes for compressible flows on unstructured meshes Tata Institute of Fundamental Research Center for Applicable Mathematics Bangalore deep@math.tifrbng.res.in http://math.tifrbng.res.in/

More information

Effect of Applied Magnetic Field on Shock Boundary Layer Interaction

Effect of Applied Magnetic Field on Shock Boundary Layer Interaction University of Kentucky UKnowledge Mechanical Engineering Faculty Publications Mechanical Engineering 1-2012 Effect of Applied Magnetic Field on Shock Boundary Layer Interaction Ovais U. Khan University

More information

Vectors 1C. 6 k) = =0 = =17

Vectors 1C. 6 k) = =0 = =17 Vectors C For each problem, calculate the vector product in the bracet first and then perform the scalar product on the answer. a b c= 3 0 4 =4i j 3 a.(b c=(5i+j.(4i j 3 =0 +3= b c a = 3 0 4 5 = 8i+3j+6

More information

Is My CFD Mesh Adequate? A Quantitative Answer

Is My CFD Mesh Adequate? A Quantitative Answer Is My CFD Mesh Adequate? A Quantitative Answer Krzysztof J. Fidkowski Gas Dynamics Research Colloqium Aerospace Engineering Department University of Michigan January 26, 2011 K.J. Fidkowski (UM) GDRC 2011

More information

Zonal modelling approach in aerodynamic simulation

Zonal modelling approach in aerodynamic simulation Zonal modelling approach in aerodynamic simulation and Carlos Castro Barcelona Supercomputing Center Technical University of Madrid Outline 1 2 State of the art Proposed strategy 3 Consistency Stability

More information

Simulation of unsteady muzzle flow of a small-caliber gun

Simulation of unsteady muzzle flow of a small-caliber gun Advances in Fluid Mechanics VI 165 Simulation of unsteady muzzle flow of a small-caliber gun Y. Dayan & D. Touati Department of Computational Mechanics & Ballistics, IMI, Ammunition Group, Israel Abstract

More information

THERMODYNAMICALLY BASED MOISTURE PREDICTION USING ROE S SCHEME

THERMODYNAMICALLY BASED MOISTURE PREDICTION USING ROE S SCHEME THERMODYNAMICALLY BASED MOISTURE PREDICTION USING ROE S SCHEME M. J. Kermani 1, A. G. Gerber 2, J. M. Stockie 3 University of New Brunswick Fredericton, New Brunswick, Canada, E3B 5A3 M.Kermani@unb.ca

More information

Multigrid Solution for High-Order Discontinuous Galerkin Discretizations of the Compressible Navier-Stokes Equations. Todd A.

Multigrid Solution for High-Order Discontinuous Galerkin Discretizations of the Compressible Navier-Stokes Equations. Todd A. Multigrid Solution for High-Order Discontinuous Galerkin Discretizations of the Compressible Navier-Stokes Equations by Todd A. Oliver B.S., Massachusetts Institute of Technology (22) Submitted to the

More information

FOR many computational fluid dynamics (CFD) applications, engineers require information about multiple solution

FOR many computational fluid dynamics (CFD) applications, engineers require information about multiple solution AIAA Aviation 13-17 June 2016, Washington, D.C. 46th AIAA Fluid Dynamics Conference AIAA 2016-3809 Improved Functional-Based Error Estimation and Adaptation without Adjoints William C. Tyson *, Katarzyna

More information

Effects of the Jacobian Evaluation on Direct Solutions of the Euler Equations

Effects of the Jacobian Evaluation on Direct Solutions of the Euler Equations Middle East Technical University Aerospace Engineering Department Effects of the Jacobian Evaluation on Direct Solutions of the Euler Equations by Ömer Onur Supervisor: Assoc. Prof. Dr. Sinan Eyi Outline

More information

On Numerical Simulation of Flow Problems by Discontinuous Galerkin and Finite Volume Techniques

On Numerical Simulation of Flow Problems by Discontinuous Galerkin and Finite Volume Techniques On Numerical Simulation of Flow Problems by Discontinuous Galerkin and Finite Volume Techniques Ondřej Winter 1, Petr Sváček 1 1 CTU in Prague, Faculty of Mechanical Engineering, Department of Technical

More information

AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS

AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS 1 / 59 AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS The Finite Volume Method These slides are partially based on the recommended textbook: Culbert B.

More information

Detailed Numerical Study on the Aerodynamic Behavior of a Gurney Flapped Airfoil in the Ultra-low Reynolds Regime

Detailed Numerical Study on the Aerodynamic Behavior of a Gurney Flapped Airfoil in the Ultra-low Reynolds Regime doi: 10.5028/jatm.v9i2.631 Detailed Numerical Study on the Aerodynamic Behavior of a Gurney Flapped Airfoil in the Ultra-low Reynolds Regime Mahzad Khoshlessan 1, Seyed Mohammad Hossein Karimian 1 Abstract:

More information

. D CR Nomenclature D 1

. D CR Nomenclature D 1 . D CR Nomenclature D 1 Appendix D: CR NOMENCLATURE D 2 The notation used by different investigators working in CR formulations has not coalesced, since the topic is in flux. This Appendix identifies the

More information

Manhar Dhanak Florida Atlantic University Graduate Student: Zaqie Reza

Manhar Dhanak Florida Atlantic University Graduate Student: Zaqie Reza REPRESENTING PRESENCE OF SUBSURFACE CURRENT TURBINES IN OCEAN MODELS Manhar Dhanak Florida Atlantic University Graduate Student: Zaqie Reza 1 Momentum Equations 2 Effect of inclusion of Coriolis force

More information

COMPUTATIONAL STUDY OF SEPARATION CONTROL MECHANISM WITH THE IMAGINARY BODY FORCE ADDED TO THE FLOWS OVER AN AIRFOIL

COMPUTATIONAL STUDY OF SEPARATION CONTROL MECHANISM WITH THE IMAGINARY BODY FORCE ADDED TO THE FLOWS OVER AN AIRFOIL COMPUTATIONAL STUDY OF SEPARATION CONTROL MECHANISM WITH THE IMAGINARY BODY FORCE ADDED TO THE FLOWS OVER AN AIRFOIL Kengo Asada 1 and Kozo Fujii 2 ABSTRACT The effects of body force distribution on the

More information

Numerical Simulation of Jet Aerodynamics Using the Three-Dimensional Navier-Stokes Code PAB3D

Numerical Simulation of Jet Aerodynamics Using the Three-Dimensional Navier-Stokes Code PAB3D NASA Technical Paper 3596 Numerical Simulation of Jet Aerodynamics Using the Three-Dimensional Navier-Stokes Code PAB3D S. Paul Pao Langley Research Center Hampton, Virginia Khaled S. Abdol-Hamid Analytical

More information

How Many Steps are Required to Solve the Euler Equations of Steady, Compressible Flow: In Search of a Fast Solution Algorithm

How Many Steps are Required to Solve the Euler Equations of Steady, Compressible Flow: In Search of a Fast Solution Algorithm AIAA 2 2673 How Many Steps are Required to Solve the Euler Equations of Steady, Compressible Flow: In Search of a Fast Solution Algorithm Antony Jameson Stanford University Stanford, CA 9435 D. A. Caughey

More information

Numerical Solution Techniques in Mechanical and Aerospace Engineering

Numerical Solution Techniques in Mechanical and Aerospace Engineering Numerical Solution Techniques in Mechanical and Aerospace Engineering Chunlei Liang LECTURE 9 Finite Volume method II 9.1. Outline of Lecture Conservation property of Finite Volume method Apply FVM to

More information

General elastic beam with an elastic foundation

General elastic beam with an elastic foundation General elastic beam with an elastic foundation Figure 1 shows a beam-column on an elastic foundation. The beam is connected to a continuous series of foundation springs. The other end of the foundation

More information

Finite Element Solver for Flux-Source Equations

Finite Element Solver for Flux-Source Equations Finite Element Solver for Flux-Source Equations Weston B. Lowrie A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Aeronautics Astronautics University

More information

Adjoint-based aerodynamic shape optimization

Adjoint-based aerodynamic shape optimization IT Licentiate theses 2003-012 Adjoint-based aerodynamic shape optimization OLIVIER AMOIGNON UPPSALA UNIVERSITY Department of Information Technology Adjoint-based aerodynamic shape optimization BY OLIVIER

More information

ADJOINT AND DEFECT ERROR BOUNDING AND CORRECTION FOR FUNCTIONAL ESTIMATES

ADJOINT AND DEFECT ERROR BOUNDING AND CORRECTION FOR FUNCTIONAL ESTIMATES ADJOINT AND DEFECT ERROR BOUNDING AND CORRECTION FOR FUNCTIONAL ESTIMATES Niles A. Pierce and Michael B. Giles Applied & Computational Mathematics, California Institute of Technology Computing Laboratory,

More information

An Improved Ghost-cell Immersed Boundary Method for Compressible Inviscid Flow Simulations. Thesis by Cheng Chi

An Improved Ghost-cell Immersed Boundary Method for Compressible Inviscid Flow Simulations. Thesis by Cheng Chi An Improved Ghost-cell Immersed Boundary Method for Compressible Inviscid Flow Simulations Thesis by Cheng Chi In Partial Fulfillment of the Requirements For the Degree of Masters of Science King Abdullah

More information

The Simulation of Wraparound Fins Aerodynamic Characteristics

The Simulation of Wraparound Fins Aerodynamic Characteristics The Simulation of Wraparound Fins Aerodynamic Characteristics Institute of Launch Dynamics Nanjing University of Science and Technology Nanjing Xiaolingwei 00 P. R. China laithabbass@yahoo.com Abstract:

More information

A high-order discontinuous Galerkin solver for 3D aerodynamic turbulent flows

A high-order discontinuous Galerkin solver for 3D aerodynamic turbulent flows A high-order discontinuous Galerkin solver for 3D aerodynamic turbulent flows F. Bassi, A. Crivellini, D. A. Di Pietro, S. Rebay Dipartimento di Ingegneria Industriale, Università di Bergamo CERMICS-ENPC

More information

On limiting for higher order discontinuous Galerkin method for 2D Euler equations

On limiting for higher order discontinuous Galerkin method for 2D Euler equations On limiting for higher order discontinuous Galerkin method for 2D Euler equations Juan Pablo Gallego-Valencia, Christian Klingenberg, Praveen Chandrashekar October 6, 205 Abstract We present an implementation

More information

Total Pressure Losses Minimization in Turbomachinery Cascades, using a New Continuous Adjoint Formulation

Total Pressure Losses Minimization in Turbomachinery Cascades, using a New Continuous Adjoint Formulation Total Pressure Losses Minimization in Turbomachinery Cascades, using a New Continuous Adjoint Formulation D.I. Papadimitriou, K.C. Giannakoglou Laboratory of Thermal Turbomachines, National Technical University

More information

Anisotropic mesh refinement for discontinuous Galerkin methods in two-dimensional aerodynamic flow simulations

Anisotropic mesh refinement for discontinuous Galerkin methods in two-dimensional aerodynamic flow simulations INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS Int. J. Numer. Meth. Fluids 2008; 56:2111 2138 Published online 4 September 2007 in Wiley InterScience (www.interscience.wiley.com)..1608 Anisotropic

More information

Shock Capturing for Discontinuous Galerkin Methods using Finite Volume Sub-cells

Shock Capturing for Discontinuous Galerkin Methods using Finite Volume Sub-cells Abstract We present a shock capturing procedure for high order Discontinuous Galerkin methods, by which shock regions are refined in sub-cells and treated by finite volume techniques Hence, our approach

More information

Numerical Solutions for Hyperbolic Systems of Conservation Laws: from Godunov Method to Adaptive Mesh Refinement

Numerical Solutions for Hyperbolic Systems of Conservation Laws: from Godunov Method to Adaptive Mesh Refinement Numerical Solutions for Hyperbolic Systems of Conservation Laws: from Godunov Method to Adaptive Mesh Refinement Romain Teyssier CEA Saclay Romain Teyssier 1 Outline - Euler equations, MHD, waves, hyperbolic

More information

MAE SUMMER 2015 HOMEWORK 1 SOLUTION

MAE SUMMER 2015 HOMEWORK 1 SOLUTION MAE 04 - SUMMER 205 HOMEWORK SOLUTION Problem :. Plot the drag coefficient, c D, the aerodynamic efficiency, AE, and the center of pressure, x cp, of the airplane as a function of the angle of attack.

More information

CFD in Industrial Applications and a Mesh Improvement Shock-Filter for Multiple Discontinuities Capturing. Lakhdar Remaki

CFD in Industrial Applications and a Mesh Improvement Shock-Filter for Multiple Discontinuities Capturing. Lakhdar Remaki CFD in Industrial Applications and a Mesh Improvement Shock-Filter for Multiple Discontinuities Capturing Lakhdar Remaki Outline What we doing in CFD? CFD in Industry Shock-filter model for mesh adaptation

More information

RANS Equations in Curvilinear Coordinates

RANS Equations in Curvilinear Coordinates Appendix C RANS Equations in Curvilinear Coordinates To begin with, the Reynolds-averaged Navier-Stokes RANS equations are presented in the familiar vector and Cartesian tensor forms. Each term in the

More information

Scientific Computing I

Scientific Computing I Scientific Computing I Module 8: An Introduction to Finite Element Methods Tobias Neckel Winter 2013/2014 Module 8: An Introduction to Finite Element Methods, Winter 2013/2014 1 Part I: Introduction to

More information

Comparison of outflow boundary conditions for subsonic aeroacoustic simulations

Comparison of outflow boundary conditions for subsonic aeroacoustic simulations Comparison of outflow boundary conditions for subsonic aeroacoustic simulations A. Fosso P., H. Deniau, N. Lamarque and T. Poinsot CERFACS, CFD Team, Av. G. Coriolis, 3157 Toulouse Cedex France SUMMARY

More information

Subsonic characteristic outflow boundary conditions with transverse terms: a comparative study

Subsonic characteristic outflow boundary conditions with transverse terms: a comparative study Center for Turbulence Research Annual Research Briefs 200 35 Subsonic characteristic outflow boundary conditions with transverse terms: a comparative study By G. Lodato, F. Ham AND H. Pitsch. Motivation

More information

Introduction to numerical simulation of fluid flows

Introduction to numerical simulation of fluid flows Introduction to numerical simulation of fluid flows Mónica de Mier Torrecilla Technical University of Munich Winterschool April 2004, St. Petersburg (Russia) 1 Introduction The central task in natural

More information

We have read this thesis and recommend its acceptance:

We have read this thesis and recommend its acceptance: To the Graduate Council: I am submitting herewith a thesis written by Nicholas G. Currier entitled A Hybrid Method for Flows in Local Chemical Equilibrium and Nonequilibrium. I have examined the final

More information

Explicit Incompressible Euler Solver

Explicit Incompressible Euler Solver Explicit Incompressible Euler Solver (Written In Matlab) R D Teja Aerospace Undergraduate IIT Madras Contents: 1. Abstract 2. Introduction 2.1 Euler equations 2.2 Artificial compressibility equations 2.3

More information

Newtonian Analysis of Rarified Flows

Newtonian Analysis of Rarified Flows Atmospheric Regimes on Entry Basic fluid parameters Definition of Mean Free Path Rarified gas Newtonian flow Continuum Newtonian flow (hypersonics) SphereConeAero so ware 2012 David L. Akin - All rights

More information

Parallel Computation of Forced Vibration for A Compressor Cascade

Parallel Computation of Forced Vibration for A Compressor Cascade 44th AIAA Aerospace Sciences Meeting and Exhibit 9-2 January 26, Reno, Nevada AIAA 26-628 AIAA Paper 26-628 Parallel Computation of Forced Vibration for A Compressor Cascade Zongjun Hu and Gecheng Zha

More information

MULTIGRID CALCULATIONS FOB. CASCADES. Antony Jameson and Feng Liu Princeton University, Princeton, NJ 08544

MULTIGRID CALCULATIONS FOB. CASCADES. Antony Jameson and Feng Liu Princeton University, Princeton, NJ 08544 MULTIGRID CALCULATIONS FOB. CASCADES Antony Jameson and Feng Liu Princeton University, Princeton, NJ 0544 1. Introduction Development of numerical methods for internal flows such as the flow in gas turbines

More information

A recovery-assisted DG code for the compressible Navier-Stokes equations

A recovery-assisted DG code for the compressible Navier-Stokes equations A recovery-assisted DG code for the compressible Navier-Stokes equations January 6 th, 217 5 th International Workshop on High-Order CFD Methods Kissimmee, Florida Philip E. Johnson & Eric Johnsen Scientific

More information

Reduced order model of three-dimensional Euler equations using proper orthogonal decomposition basis

Reduced order model of three-dimensional Euler equations using proper orthogonal decomposition basis Journal of Mechanical Science and Technology 24 (2) (2010) 601~608 www.springerlink.com/content/1738-494x DOI 10.1007/s12206-010-0106-0 Reduced order model of three-dimensional Euler equations using proper

More information

TRANSONIC AIRFOIL CALCULATIONS USING THE EULER EQUATIONS

TRANSONIC AIRFOIL CALCULATIONS USING THE EULER EQUATIONS TRANSONIC AIRFOIL CALCULATIONS USING THE EULER EQUATIONS Antony Jameson Princeton University Princeton, NJ 08544 I am going to tell you about some of the transonic aerofoil calculations I have been doing

More information

Wave propagation methods for hyperbolic problems on mapped grids

Wave propagation methods for hyperbolic problems on mapped grids Wave propagation methods for hyperbolic problems on mapped grids A France-Taiwan Orchid Project Progress Report 2008-2009 Keh-Ming Shyue Department of Mathematics National Taiwan University Taiwan ISCM

More information

Synchronous Machine Modeling

Synchronous Machine Modeling ECE 53 Session ; Page / Fall 07 Synchronous Machine Moeling Reference θ Quarature Axis B C Direct Axis Q G F D A F G Q A D C B Transient Moel for a Synchronous Machine Generator Convention ECE 53 Session

More information

Introduction to Finite Volume projection methods. On Interfaces with non-zero mass flux

Introduction to Finite Volume projection methods. On Interfaces with non-zero mass flux Introduction to Finite Volume projection methods On Interfaces with non-zero mass flux Rupert Klein Mathematik & Informatik, Freie Universität Berlin Summerschool SPP 1506 Darmstadt, July 09, 2010 Introduction

More information

HYPERSONIC AERO-THERMO-DYNAMIC HEATING PREDICTION WITH HIGH-ORDER DISCONTINOUS GALERKIN SPECTRAL ELEMENT METHODS

HYPERSONIC AERO-THERMO-DYNAMIC HEATING PREDICTION WITH HIGH-ORDER DISCONTINOUS GALERKIN SPECTRAL ELEMENT METHODS 1 / 36 HYPERSONIC AERO-THERMO-DYNAMIC HEATING PREDICTION WITH HIGH-ORDER DISCONTINOUS GALERKIN SPECTRAL ELEMENT METHODS Jesús Garicano Mena, E. Valero Sánchez, G. Rubio Calzado, E. Ferrer Vaccarezza Universidad

More information

SIMULATION OF UNSTEADY TURBOMACHINERY FLOWS USING AN IMPLICITLY COUPLED NONLINEAR HARMONIC BALANCE METHOD

SIMULATION OF UNSTEADY TURBOMACHINERY FLOWS USING AN IMPLICITLY COUPLED NONLINEAR HARMONIC BALANCE METHOD Proceedings of ASME Turbo Expo 2011 GT2011 June 6-10, 2011, ancouver, Canada GT2011-46367 SIMULATION OF UNSTEADY TURBOMACHINERY FLOWS USING AN IMPLICITLY COUPLED NONLINEAR HARMONIC BALANCE METHOD Jonathan

More information

Matrices and Determinants

Matrices and Determinants Chapter1 Matrices and Determinants 11 INTRODUCTION Matrix means an arrangement or array Matrices (plural of matrix) were introduced by Cayley in 1860 A matrix A is rectangular array of m n numbers (or

More information

Aeroacoustic and Aerodynamics of Swirling Flows*

Aeroacoustic and Aerodynamics of Swirling Flows* Aeroacoustic and Aerodynamics of Swirling Flows* Hafiz M. Atassi University of Notre Dame * supported by ONR grant and OAIAC OVERVIEW OF PRESENTATION Disturbances in Swirling Flows Normal Mode Analysis

More information

Force analysis of underwater object with supercavitation evolution

Force analysis of underwater object with supercavitation evolution Indian Journal of Geo-Marine Sciences Vol. 42(8), December 2013, pp. 957-963 Force analysis of underwater object with supercavitation evolution B C Khoo 1,2,3* & J G Zheng 1,3 1 Department of Mechanical

More information

Two-Dimensional Riemann Solver for Euler Equations of Gas Dynamics

Two-Dimensional Riemann Solver for Euler Equations of Gas Dynamics Journal of Computational Physics 167, 177 195 (2001) doi:10.1006/jcph.2000.6666, available online at http://www.idealibrary.com on Two-Dimensional Riemann Solver for Euler Equations of Gas Dynamics M.

More information

ALGEBRAIC FLUX CORRECTION FOR FINITE ELEMENT DISCRETIZATIONS OF COUPLED SYSTEMS

ALGEBRAIC FLUX CORRECTION FOR FINITE ELEMENT DISCRETIZATIONS OF COUPLED SYSTEMS Int. Conf. on Computational Methods for Coupled Problems in Science and Engineering COUPLED PROBLEMS 2007 M. Papadrakakis, E. Oñate and B. Schrefler (Eds) c CIMNE, Barcelona, 2007 ALGEBRAIC FLUX CORRECTION

More information

Comparison of nonreflecting outlet boundary. conditions for compressible solvers on unstructured. grids

Comparison of nonreflecting outlet boundary. conditions for compressible solvers on unstructured. grids Comparison of nonreflecting outlet boundary conditions for compressible solvers on unstructured grids Victor Granet 1 CERFACS, CFD Team, 42 avenue Gaspard Coriolis, 31057 Toulouse Cedex, France and Renault

More information

Spectral Difference Method for Unstructured Grids II: Extension to the Euler Equations

Spectral Difference Method for Unstructured Grids II: Extension to the Euler Equations Journal of Scientific Computing, Vol. 32, No. 1, July 2007 ( 2006) DOI: 10.1007/s10915-006-9113-9 Spectral Difference Method for Unstructured Grids II: Extension to the Euler Equations Z. J. Wang, 1,4

More information

A Stable Spectral Difference Method for Triangles

A Stable Spectral Difference Method for Triangles A Stable Spectral Difference Method for Triangles Aravind Balan 1, Georg May 1, and Joachim Schöberl 2 1 AICES Graduate School, RWTH Aachen, Germany 2 Institute for Analysis and Scientific Computing, Vienna

More information

An Adjoint Method Augmented with Grid Sensitivities for Aerodynamic Optimization

An Adjoint Method Augmented with Grid Sensitivities for Aerodynamic Optimization An Adjoint Method Augmented with Grid Sensitivities for Aerodynamic Optimization by Chad Oldfield A thesis submitted in conformity with the requirements for the degree of M.A.Sc. Graduate Department of

More information

FLOW OVER A GIVEN PROFILE IN A CHANNEL WITH DYNAMICAL EFFECTS

FLOW OVER A GIVEN PROFILE IN A CHANNEL WITH DYNAMICAL EFFECTS Proceedings of Czech Japanese Seminar in Applied Mathematics 2004 August 4-7, 2004, Czech Technical University in Prague http://geraldine.fjfi.cvut.cz pp. 63 72 FLOW OVER A GIVEN PROFILE IN A CHANNEL WITH

More information

On a class of numerical schemes. for compressible flows

On a class of numerical schemes. for compressible flows On a class of numerical schemes for compressible flows R. Herbin, with T. Gallouët, J.-C. Latché L. Gastaldo, D. Grapsas, W. Kheriji, T.T. N Guyen, N. Therme, C. Zaza. Aix-Marseille Université I.R.S.N.

More information

Application Of Faraday s Law

Application Of Faraday s Law Application Of Faraday s Law Dr Miguel Cavero September 2, 2014 Application Of Faraday s Law September 2, 2014 1 / 23 The PHYS120 Exam will be divided into three sections as follows: Section A: Short Questions

More information

Salmon: Lectures on partial differential equations

Salmon: Lectures on partial differential equations 6. The wave equation Of the 3 basic equations derived in the previous section, we have already discussed the heat equation, (1) θ t = κθ xx + Q( x,t). In this section we discuss the wave equation, () θ

More information

Lehrstuhl Informatik V. Lehrstuhl Informatik V. 1. solve weak form of PDE to reduce regularity properties. Lehrstuhl Informatik V

Lehrstuhl Informatik V. Lehrstuhl Informatik V. 1. solve weak form of PDE to reduce regularity properties. Lehrstuhl Informatik V Part I: Introduction to Finite Element Methods Scientific Computing I Module 8: An Introduction to Finite Element Methods Tobias Necel Winter 4/5 The Model Problem FEM Main Ingredients Wea Forms and Wea

More information

Y. Abe, N. Iizuka, T. Nonomura, K. Fujii Corresponding author:

Y. Abe, N. Iizuka, T. Nonomura, K. Fujii Corresponding author: Seventh International Conference on Computational Fluid Dynamics (ICCFD7), Big Island, Hawaii, July 9-13, 2012 ICCFD7-2012-2801 ICCFD7-2801 Symmetric-conservative metric evaluations for higher-order finite

More information

AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS

AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS 1 / 31 AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS Linearization and Characteristic Relations 1 / 31 AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS

More information

Appendix B. Coordinate Transformation

Appendix B. Coordinate Transformation B Appendix B. Coordinate Transformation B.1. Coordinate Transformation Relations In this appendix we derive and discuss the transformation relations between curvilinear and orthogonal coordinate systems,

More information

AProofoftheStabilityoftheSpectral Difference Method For All Orders of Accuracy

AProofoftheStabilityoftheSpectral Difference Method For All Orders of Accuracy AProofoftheStabilityoftheSpectral Difference Method For All Orders of Accuracy Antony Jameson 1 1 Thomas V. Jones Professor of Engineering Department of Aeronautics and Astronautics Stanford University

More information

A Matrix Stability Analysis of the Carbuncle Phenomenon

A Matrix Stability Analysis of the Carbuncle Phenomenon A Matrix Stability Analysis of the Carbuncle Phenomenon Michael Dumbser a Jean-Marc Moschetta b Jérémie Gressier c a Universität Stuttgart, Institut für Aerodynamik und Gasdynamik, Pfaffenwaldring 21,

More information

APPLICATION OF SPACE-TIME MAPPING ANALYSIS METHOD TO UNSTEADY NONLINEAR GUST-AIRFOIL INTERACTION PROBLEM

APPLICATION OF SPACE-TIME MAPPING ANALYSIS METHOD TO UNSTEADY NONLINEAR GUST-AIRFOIL INTERACTION PROBLEM AIAA 2003-3693 APPLICATION OF SPACE-TIME MAPPING ANALYSIS METHOD TO UNSTEADY NONLINEAR GUST-AIRFOIL INTERACTION PROBLEM Vladimir V. Golubev* and Axel Rohde Embry-Riddle Aeronautical University Daytona

More information

CapSel Roe Roe solver.

CapSel Roe Roe solver. CapSel Roe - 01 Roe solver keppens@rijnh.nl modern high resolution, shock-capturing schemes for Euler capitalize on known solution of the Riemann problem originally developed by Godunov always use conservative

More information

Classical differential geometry of two-dimensional surfaces

Classical differential geometry of two-dimensional surfaces Classical differential geometry of two-dimensional surfaces 1 Basic definitions This section gives an overview of the basic notions of differential geometry for twodimensional surfaces. It follows mainly

More information

APPLICATION OF HYBRID CFD/CAA TECHNIQUE FOR MODELING PRESSURE FLUCTUATIONS IN TRANSONIC FLOWS

APPLICATION OF HYBRID CFD/CAA TECHNIQUE FOR MODELING PRESSURE FLUCTUATIONS IN TRANSONIC FLOWS TASK QUARTERLY Vol. 17, Nos 3 4, 2013, pp. 145 154 APPLICATION OF HYBRID CFD/CAA TECHNIQUE FOR MODELING PRESSURE FLUCTUATIONS IN TRANSONIC FLOWS SŁAWOMIR DYKAS, WŁODZIMIERZ WRÓBLEWSKI AND SEBASTIAN RULIK

More information

Projection Dynamics in Godunov-Type Schemes

Projection Dynamics in Godunov-Type Schemes JOURNAL OF COMPUTATIONAL PHYSICS 142, 412 427 (1998) ARTICLE NO. CP985923 Projection Dynamics in Godunov-Type Schemes Kun Xu and Jishan Hu Department of Mathematics, Hong Kong University of Science and

More information

NACA 0006 A NACA 0012 CT5

NACA 0006 A NACA 0012 CT5 2012 10 30 5 Journal of Northwestern Polytechnical University Oct. Vol. 30 2012 No. 5 710072 NACA 0006 NACA 0012 Basic Finner MissileBFM 1. 58 ~ 2. 5 V211. 3 A 1000-2758201205-0784-05 CFD CFD 1 1-3 2 CFD

More information

Finite volume method for CFD

Finite volume method for CFD Finite volume method for CFD Indo-German Winter Academy-2007 Ankit Khandelwal B-tech III year, Civil Engineering IIT Roorkee Course #2 (Numerical methods and simulation of engineering Problems) Mentor:

More information

The Most Marvelous Theorem in Mathematics. Dan Kalman American University

The Most Marvelous Theorem in Mathematics. Dan Kalman American University The Most Marvelous Theorem in Mathematics Dan Kalman American University www.dankalman.net Outline Overview of the theorem Ellipses Background Facts Proof Real Polynomials 5 4 3 2 Familiar functions: 4x

More information

Active Flux for Advection Diffusion

Active Flux for Advection Diffusion Active Flux for Advection Diffusion A Miracle in CFD Hiroaki Nishikawa National Institute of Aerospace! NIA CFD Seminar! August 25, 2015 In collaboration with the University of Michigan Supported by NASA

More information

Inverse Lax-Wendroff Procedure for Numerical Boundary Conditions of. Conservation Laws 1. Abstract

Inverse Lax-Wendroff Procedure for Numerical Boundary Conditions of. Conservation Laws 1. Abstract Inverse Lax-Wendroff Procedure for Numerical Boundary Conditions of Conservation Laws Sirui Tan and Chi-Wang Shu 3 Abstract We develop a high order finite difference numerical boundary condition for solving

More information

Comparison of Approximate Riemann Solvers

Comparison of Approximate Riemann Solvers Comparison of Approximate Riemann Solvers Charlotte Kong May 0 Department of Mathematics University of Reading Supervisor: Dr P Sweby A dissertation submitted in partial fulfilment of the requirement for

More information

Immersed boundary technique for compressible flow simulations on semi-structured meshes

Immersed boundary technique for compressible flow simulations on semi-structured meshes Center for Turbulence Research Annual Research Briefs 2005 71 Immersed boundary technique for compressible flow simulations on semi-structured meshes By M. de Tullio AND G. Iaccarino 1. Motivation and

More information

AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS

AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS 1 / 29 AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS Hierarchy of Mathematical Models 1 / 29 AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS 2 / 29

More information

Stable and high-order accurate finite difference schemes on singular grids

Stable and high-order accurate finite difference schemes on singular grids Center for Turbulence Research Annual Research Briefs 006 197 Stable and high-order accurate finite difference schemes on singular grids By M. Svärd AND E. van der Weide 1. Motivation and objectives The

More information

Uncertainty Analysis of Computational Fluid Dynamics Via Polynomial Chaos

Uncertainty Analysis of Computational Fluid Dynamics Via Polynomial Chaos Uncertainty Analysis of Computational Fluid Dynamics Via Polynomial Chaos Rafael A. Perez Dissertation submitted to the faculty of the Virginia Polytechnic Institute and State University in partial fulfillment

More information

PLAXIS. Scientific Manual

PLAXIS. Scientific Manual PLAXIS Scientific Manual 2016 Build 8122 TABLE OF CONTENTS TABLE OF CONTENTS 1 Introduction 5 2 Deformation theory 7 2.1 Basic equations of continuum deformation 7 2.2 Finite element discretisation 8 2.3

More information