6 Fundamental Theorems: Vorticity and Circulation
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Lecture 18 Ocean General Circulation Modeling
Lecture 18 Ocean General Circulation Modeling 9.1 The equations of motion: Navier-Stokes The governing equations for a real fluid are the Navier-Stokes equations (con servation of linear momentum and mass mass) along with conservation of salt, conservation of heat (the first law of thermodynamics) and an equation of state. However, these equations support fast acoustic modes and involve nonlinearities in many terms that makes solving them both difficult and ex pensive and particularly ill suited for long time scale calculations. Instead we make a series of approximations to simplify the Navier-Stokes equations to yield the “primitive equations” which are the basis of most general circu lations models. In a rotating frame of reference and in the absence of sources and sinks of mass or salt the Navier-Stokes equations are @ �~v + �~v~v + 2�~ �~v + g�kˆ + p = ~ρ (9.1) t r · ^ r r · @ � + �~v = 0 (9.2) t r · @ �S + �S~v = 0 (9.3) t r · 1 @t �ζ + �ζ~v = ω (9.4) r · cpS r · F � = �(ζ; S; p) (9.5) Where � is the fluid density, ~v is the velocity, p is the pressure, S is the salinity and ζ is the potential temperature which add up to seven dependent variables. 115 12.950 Atmospheric and Oceanic Modeling, Spring '04 116 The constants are �~ the rotation vector of the sphere, g the gravitational acceleration and cp the specific heat capacity at constant pressure. ~ρ is the stress tensor and ω are non-advective heat fluxes (such as heat exchange across the sea-surface).F 9.2 Acoustic modes Notice that there is no prognostic equation for pressure, p, but there are two equations for density, �; one prognostic and one diagnostic. -
The Vorticity Equation in a Rotating Stratified Fluid
Chapter 7 The Vorticity Equation in a Rotating Stratified Fluid The vorticity equation for a rotating, stratified, viscous fluid » The vorticity equation in one form or another and its interpretation provide a key to understanding a wide range of atmospheric and oceanic flows. » The full Navier-Stokes' equation in a rotating frame is Du 1 +∧fu =−∇pg − k +ν∇2 u Dt ρ T where p is the total pressure and f = fk. » We allow for a spatial variation of f for applications to flow on a beta plane. Du 1 +∧fu =−∇pg − k +ν∇2 u Dt ρ T 1 2 Now uu=(u⋅∇ ∇2 ) +ω ∧ u ∂u 1 2 1 2 +∇2 ufuku +bω +g ∧=- ∇pgT − +ν∇ ∂ρt di take the curl D 1 2 afafafωω+=ffufu +⋅∇−+∇⋅+∇ρ∧∇+ ωpT ν∇ ω Dt ρ2 Dω or =−uf ⋅∇ +.... Dt Note that ∧ [ ω + f] ∧ u] = u ⋅ (ω + f) + (ω + f) ⋅ u - (ω + f) ⋅ u, and ⋅ [ω + f] ≡ 0. Terminology ωa = ω + f is called the absolute vorticity - it is the vorticity derived in an a inertial frame ω is called the relative vorticity, and f is called the planetary-, or background vorticity Recall that solid body rotation corresponds with a vorticity 2Ω. Interpretation D 1 2 afafafωω+=ffufu +⋅∇−+∇⋅+∇ρ∧∇+ ωpT ν∇ ω Dt ρ2 Dω is the rate-of-change of the relative vorticity Dt −⋅∇uf: If f varies spatially (i.e., with latitude) there will be a change in ω as fluid parcels are advected to regions of different f. Note that it is really ω + f whose total rate-of-change is determined. -
Scaling the Vorticity Equation
Vorticity Equation in Isobaric Coordinates To obtain a version of the vorticity equation in pressure coordinates, we follow the same procedure as we used to obtain the z-coordinate version: ∂ ∂ [y-component momentum equation] − [x-component momentum equation] ∂x ∂y Using the p-coordinate form of the momentum equations, this is: ∂ ⎡∂v ∂v ∂v ∂v ∂Φ ⎤ ∂ ⎡∂u ∂u ∂u ∂u ∂Φ ⎤ ⎢ + u + v +ω + fu = − ⎥ − ⎢ + u + v +ω − fv = − ⎥ ∂x ⎣ ∂t ∂x ∂y ∂p ∂y ⎦ ∂y ⎣ ∂t ∂x ∂y ∂p ∂x ⎦ which yields: d ⎛ ∂u ∂v ⎞ ⎛ ∂ω ∂u ∂ω ∂v ⎞ vorticity equation in ()()ζ p + f = − ζ p + f ⎜ + ⎟ − ⎜ − ⎟ dt ⎝ ∂x ∂y ⎠ p ⎝ ∂y ∂p ∂x ∂p ⎠ isobaric coordinates Scaling The Vorticity Equation Starting with the z-coordinate form of the vorticity equation, we begin by expanding the total derivative and retaining only nonzero terms: ∂ζ ∂ζ ∂ζ ∂ζ ∂f ⎛ ∂u ∂v ⎞ ⎛ ∂w ∂v ∂w ∂u ⎞ 1 ⎛ ∂p ∂ρ ∂p ∂ρ ⎞ + u + v + w + v = − ζ + f ⎜ + ⎟ − ⎜ − ⎟ + ⎜ − ⎟ ()⎜ ⎟ ⎜ ⎟ 2 ⎜ ⎟ ∂t ∂x ∂y ∂z ∂y ⎝ ∂x ∂y ⎠ ⎝ ∂x ∂z ∂y ∂z ⎠ ρ ⎝ ∂y ∂x ∂x ∂y ⎠ Next, we will evaluate the order of magnitude of each of these terms. Our goal is to simplify the equation by retaining only those terms that are important for large-scale midlatitude weather systems. 1 Scaling Quantities U = horizontal velocity scale W = vertical velocity scale L = length scale H = depth scale δP = horizontal pressure fluctuation ρ = mean density δρ/ρ = fractional density fluctuation T = time scale (advective) = L/U f0 = Coriolis parameter β = “beta” parameter Values of Scaling Quantities (midlatitude large-scale motions) U 10 m s-1 W 10-2 m s-1 L 106 m H 104 m δP (horizontal) 103 Pa ρ 1 kg m-3 δρ/ρ 10-2 T 105 s -4 -1 f0 10 s β 10-11 m-1 s-1 2 ∂ζ ∂ζ ∂ζ ∂ζ ∂f ⎛ ∂u ∂v ⎞ ⎛ ∂w ∂v ∂w ∂u ⎞ 1 ⎛ ∂p ∂ρ ∂p ∂ρ ⎞ + u + v + w + v = − ζ + f ⎜ + ⎟ − ⎜ − ⎟ + ⎜ − ⎟ ()⎜ ⎟ ⎜ ⎟ 2 ⎜ ⎟ ∂t ∂x ∂y ∂z ∂y ⎝ ∂x ∂y ⎠ ⎝ ∂x ∂z ∂y ∂z ⎠ ρ ⎝ ∂y ∂x ∂x ∂y ⎠ ∂ζ ∂ζ ∂ζ U 2 , u , v ~ ~ 10−10 s−2 ∂t ∂x ∂y L2 ∂ζ WU These inequalities appear because w ~ ~ 10−11 s−2 the two terms may partially offset ∂z HL one another. -
Vortex Stretching in Incompressible and Compressible Fluids
Vortex stretching in incompressible and compressible fluids Esteban G. Tabak, Fluid Dynamics II, Spring 2002 1 Introduction The primitive form of the incompressible Euler equations is given by du P = ut + u · ∇u = −∇ + gz (1) dt ρ ∇ · u = 0 (2) representing conservation of momentum and mass respectively. Here u is the velocity vector, P the pressure, ρ the constant density, g the acceleration of gravity and z the vertical coordinate. In this form, the physical meaning of the equations is very clear and intuitive. An alternative formulation may be written in terms of the vorticity vector ω = ∇× u , (3) namely dω = ω + u · ∇ω = (ω · ∇)u (4) dt t where u is determined from ω nonlocally, through the solution of the elliptic system given by (2) and (3). A similar formulation applies to smooth isentropic compressible flows, if one replaces the vorticity ω in (4) by ω/ρ. This formulation is very convenient for many theoretical purposes, as well as for better understanding a variety of fluid phenomena. At an intuitive level, it reflects the fact that rotation is a fundamental element of fluid flow, as exem- plified by hurricanes, tornados and the swirling of water near a bathtub sink. Its derivation from the primitive form of the equations, however, often relies on complex vector identities, which render obscure the intuitive meaning of (4). My purpose here is to present a more intuitive derivation, which follows the tra- ditional physical wisdom of looking for integral principles first, and only then deriving their corresponding differential form. The integral principles associ- ated to (4) are conservation of mass, circulation–angular momentum (Kelvin’s theorem) and vortex filaments (Helmholtz’ theorem). -
Studies on Blood Viscosity During Extracorporeal Circulation
Nagoya ]. med. Sci. 31: 25-50, 1967. STUDIES ON BLOOD VISCOSITY DURING EXTRACORPOREAL CIRCULATION HrsASHI NAGASHIMA 1st Department of Surgery, Nagoya University School of Medicine (Director: Prof Yoshio Hashimoto) ABSTRACT Blood viscosity was studied during extracorporeal circulation by means of a cone in cone viscometer. This rotational viscometer provides sixteen kinds of shear rate, ranging from 0.05 to 250.2 sec-1 • Merits and demerits of the equipment were described comparing with the capillary viscometer. In experimental study it was well demonstrated that the whole blood viscosity showed the shear rate dependency at all hematocrit levels. The influence of the temperature change on the whole blood viscosity was clearly seen when hemato· crit was high and shear rate low. The plasma viscosity was 1.8 cp. at 37°C and Newtonianlike behavior was observed at the same temperature. ·In the hypothermic condition plasma showed shear rate dependency. Viscosity of 10% LMWD was over 2.2 fold as high as that of plasma. The increase of COz content resulted in a constant increase in whole blood viscosity and the increased whole blood viscosity after C02 insufflation, rapidly decreased returning to a little higher level than that in untreated group within 3 minutes. Clinical data were obtained from 27 patients who underwent hypothermic hemodilution perfusion. In the cyanotic group, w hole blood was much more viscous than in the non cyanotic. During bypass, hemodilution had greater influence upon whole blood viscosity than hypothermia, but it went inversely upon the plasma viscosity. The whole blood viscosity was more dependent on dilution rate than amount of diluent in mljkg. -
The Influence of Negative Viscosity on Wind-Driven, Barotropic Ocean
916 JOURNAL OF PHYSICAL OCEANOGRAPHY VOLUME 30 The In¯uence of Negative Viscosity on Wind-Driven, Barotropic Ocean Circulation in a Subtropical Basin DEHAI LUO AND YAN LU Department of Atmospheric and Oceanic Sciences, Ocean University of Qingdao, Key Laboratory of Marine Science and Numerical Modeling, State Oceanic Administration, Qingdao, China (Manuscript received 3 April 1998, in ®nal form 12 May 1999) ABSTRACT In this paper, a new barotropic wind-driven circulation model is proposed to explain the enhanced transport of the western boundary current and the establishment of the recirculation gyre. In this model the harmonic Laplacian viscosity including the second-order term (the negative viscosity term) in the Prandtl mixing length theory is regarded as a tentative subgrid-scale parameterization of the boundary layer near the wall. First, for the linear Munk model with weak negative viscosity its analytical solution can be obtained with the help of a perturbation expansion method. It can be shown that the negative viscosity can result in the intensi®cation of the western boundary current. Second, the fully nonlinear model is solved numerically in some parameter space. It is found that for the ®nite Reynolds numbers the negative viscosity can strengthen both the western boundary current and the recirculation gyre in the northwest corner of the basin. The drastic increase of the mean and eddy kinetic energies can be observed in this case. In addition, the analysis of the time-mean potential vorticity indicates that the negative relative vorticity advection, the negative planetary vorticity advection, and the negative viscosity term become rather important in the western boundary layer in the presence of the negative viscosity. -
Circulation, Lecture 4
4. Circulation A key integral conservation property of fluids is the circulation. For convenience, we derive Kelvin’s circulation theorem in an inertial coordinate system and later transform back to Earth coordinates. In inertial coordinates, the vector form of the momentum equation may be written dV = −α∇p − gkˆ + F, (4.1) dt where kˆ is the unit vector in the z direction and F represents the vector frictional acceleration. Now define a material curve that, however, is constrained to lie at all times on a surface along which some state variable, which we shall refer to for now as s,is a constant. (A state variable is a variable that can be expressed as a function of temperature and pressure.) The picture we have in mind is shown in Figure 3.1. 10 The arrows represent the projection of the velocity vector onto the s surface, and the curve is a material curve in the specific sense that each point on the curve moves with the vector velocity, projected onto the s surface, at that point. Now the circulation is defined as C ≡ V · dl, (4.2) where dl is an incremental length along the curve and V is the vector velocity. The integral is a closed integral around the curve. Differentiation of (4.2) with respect to this gives dC dV dl = · dl + V · . (4.3) dt dt dt Since the curve is a material curve, dl = dV, dt so the integrand of the last term in (4.3) can be written as a perfect derivative and so the term itself vanishes. -
4. Circulation and Vorticity This Chapter Is Mainly Concerned With
4. Circulation and vorticity This chapter is mainly concerned with vorticity. This particular flow property is hard to overestimate as an aid to understanding fluid dynamics, essentially because it is difficult to mod- ify. To provide some context, the chapter begins by classifying all different kinds of motion in a two-dimensional velocity field. Equations are then developed for the evolution of vorticity in three dimensions. The prize at the end of the chapter is a fluid property that is related to vorticity but is even more conservative and therefore more powerful as a theoretical tool. 4.1 Two-dimensional flows According to a theorem of Helmholtz, any two-dimensional flowV()x, y can be decom- posed as V= zˆ × ∇ψ+ ∇χ , (4.1) where the “streamfunction”ψ()x, y and “velocity potential”χ()x, y are scalar functions. The first part of the decomposition is non-divergent and the second part is irrotational. If we writeV = uxˆ + v yˆ for the flow in the horizontal plane, then 4.1 says that u = –∂ψ⁄ ∂y + ∂χ ∂⁄ x andv = ∂ψ⁄ ∂x + ∂χ⁄ ∂y . We define the vertical vorticity ζ and the divergence D as follows: ∂v ∂u 2 ζ =zˆ ⋅ ()∇ × V =------ – ------ = ∇ ψ , (4.2) ∂x ∂y ∂u ∂v 2 D =∇ ⋅ V =------ + ----- = ∇ χ . (4.3) ∂x ∂y Determination of the velocity field givenζ and D requires boundary conditions onψ andχ . Contours ofψ are called “streamlines”. The vorticity is proportional to the local angular velocity aboutzˆ . It is known entirely fromψ()x, y or the first term on the rhs of 4.1. -
1 RELATIVE VORTICITY EQUATION Newton's Law in a Rotating Frame in Z-Coordinate
RELATIVE VORTICITY EQUATION Newton’s law in a rotating frame in z-coordinate (frictionless): ∂U + U ⋅∇U = −2Ω × U − ∇Φ − α∇p ∂t ∂U ⎛ U ⋅ U⎞ + ∇⎜ ⎟ + (∇ × U) × U = −2Ω × U − ∇Φ − α∇p ∂t ⎝ 2 ⎠ Applying ∇ × to both sides, and noting ω ≡ ∇ × U and using identities (the underlying tilde indicates vector): 1 A ⋅∇A = ∇(A ⋅ A) + (∇ × A) × A 2 ∇ ⋅(∇ × A) = 0 ∇ × ∇γ = 0 ∇ × (γ A) = ∇γ × A + γ ∇ × A ∇ × (F × G) = F(∇ ⋅G) − G(∇ ⋅ F) + (G ⋅∇)F − (F ⋅∇)G So, ∂ω ⎡ ⎛ U ⋅ U⎞ ⎤ + ∇ × ⎢∇⎜ ⎟ ⎥ + ∇ × (ω × U) = −∇ × (2Ω × U) − ∇ × ∇Φ − ∇ × (α∇p) ∂t ⎣ ⎝ 2 ⎠ ⎦ ⇓ ∂ω + ∇ × (ω × U) = −∇ × (2Ω × U) − ∇α × ∇p − α∇ × ∇p ∂t Using S to denote baroclinicity vector, S = −∇α × ∇p , then, ∂ω + ω(∇ ⋅ U) − U(∇ ⋅ω) + (U ⋅∇)ω − (ω ⋅∇)U = −2Ω(∇ ⋅ U) + U∇ ⋅(2Ω) − (U ⋅∇)(2Ω) + (2Ω ⋅∇)U + S ∂t ∂ω + ω(∇ ⋅ U) + (U ⋅∇)ω − (ω ⋅∇)U = −2Ω(∇ ⋅ U) − (U ⋅∇)(2Ω) + (2Ω ⋅∇)U + S ∂t A little rearrangement: ∂ω = − (U ⋅∇)(ω + 2Ω) − (ω + 2Ω)(∇ ⋅ U) + [(ω + 2Ω)⋅∇]U + S ∂t tendency advection convergence twisting baroclinicity RELATIVE VORTICITY EQUATION (Vertical Component) Take k ⋅ on the 3-D vorticity equation: ∂ζ = −k ⋅(U ⋅∇)(ω + 2Ω) − k ⋅(ω + 2Ω)(∇ ⋅ U) + k ⋅[(ω + 2Ω)⋅∇]U + k ⋅S ∂t 1 ∇p In isobaric coordinates, k = , so k ⋅S = 0 . Working through all the dot product, you ∇p should get vorticity equation for the vertical component as shown in (A7.1). The same vorticity equations can be easily derived by applying the curl to the horizontal momentum equations (in p-coordinates, for example). ∂ ⎡∂u ∂u ∂u ∂u uv tanφ uω f 'ω ∂Φ ⎤ − ⎢ + u + v + ω = + + + fv − ⎥ ∂y -
Euler's Equation
Chapter 5 Euler’s equation Contents 5.1 Fluid momentum equation ........................ 39 5.2 Hydrostatics ................................ 40 5.3 Archimedes’ theorem ........................... 41 5.4 The vorticity equation .......................... 42 5.5 Kelvin’s circulation theorem ....................... 43 5.6 Shape of the free surface of a rotating fluid .............. 44 5.1 Fluid momentum equation So far, we have discussed some kinematic properties of the velocity fields for incompressible and irrotational fluid flows. We shall now study the dynamics of fluid flows and consider changes S in motion due to forces acting on a fluid. We derive an evolution equation for the fluid momentum by consider- V ing forces acting on a small blob of fluid, of volume V and surface S, containing many fluid particles. 5.1.1 Forces acting on a fluid The forces acting on the fluid can be divided into two types. Body forces, such as gravity, act on all the particles throughout V , Fv = ρ g dV. ZV Surface forces are caused by interactions at the surface S. For the rest of this course we shall only consider the effect of fluid pressure. 39 40 5.2 Hydrostatics Collisions between fluid molecules on either sides of the surface S pro- duce a flux of momentum across the boundary, in the direction of the S normal n. The force exerted on the fluid into V by the fluid on the other side of S is, by convention, written as n Fs = −p n dS, ZS V where p(x) > 0 is the fluid pressure. 5.1.2 Newton’s law of motion Newton’s second law of motion tells that the sum of the forces acting on the volume of fluid V is equal to the rate of change of its momentum. -
A Vectors, Tensors, and Their Operations
A Vectors, Tensors, and Their Operations A.1 Vectors and Tensors A spatial description of the fluid motion is a geometrical description, of which the essence is to ensure that relevant physical quantities are invariant under artificially introduced coordinate systems. This is realized by tensor analysis (cf. Aris 1962). Here we introduce the concept of tensors in an informal way, through some important examples in fluid mechanics. A.1.1 Scalars and Vectors Scalars and vectors are geometric entities independent of the choice of coor- dinate systems. This independence is a necessary condition for an entity to represent some physical quantity. A scalar, say the fluid pressure p or den- sity ρ, obviously has such independence. For a vector, say the fluid velocity u, although its three components (u1,u2,u3) depend on the chosen coordi- nates, say Cartesian coordinates with unit basis vectors (e1, e2, e3), as a single geometric entity the one-form of ei, u = u1e1 + u2e2 + u3e3 = uiei,i=1, 2, 3, (A.1) has to be independent of the basis vectors. Note that Einstein’s convention has been used in the last expression of (A.1): unless stated otherwise, a repeated index always implies summation over the dimension of the space. The inner (scalar) and cross (vector) products of two vectors are familiar. If θ is the angle between the directions of a and b, these operations give a · b = |a||b| cos θ, |a × b| = |a||b| sin θ. While the inner product is a projection operation, the cross-product produces a vector perpendicular to both a and b with magnitude equal to the area of the parallelogram spanned by a and b.Thusa×b determines a vectorial area 694 A Vectors, Tensors, and Their Operations with unit vector n normal to the (a, b) plane, whose direction follows from a to b by the right-hand rule. -
Viscous Vorticity Equation (VISVE) for Turbulent 2-D Flows with Variable Density and Viscosity
Journal of Marine Science and Engineering Article VIScous Vorticity Equation (VISVE) for Turbulent 2-D Flows with Variable Density and Viscosity Spyros A. Kinnas Ocean Engineering Group, Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin, Austin, TX 78712, USA; [email protected]; Tel.: +1-512-475-7969 Received: 23 January 2020; Accepted: 4 March 2020; Published: 11 March 2020 Abstract: The general vorticity equation for turbulent compressible 2-D flows with variable viscosity is derived, based on the Reynolds-Averaged Navier-Stokes (RANS) equations, and simplified versions of it are presented in the case of turbulent or cavitating flows around 2-D hydrofoils. Keywords: vorticity; viscous flow; turbulent flow; mixture model; cavitating flow 1. Introduction The vorticity equation has been utilized by several authors in the past to analyze the viscous flow around bodies. Vortex element (or particle, or blub) and vortex-in-cell methods have been used for several decades for the analysis of 2-D or 3-D flows, as described in Chorin [1], Christiansen [2], Leonard [3], Koumoutsakos et al. [4], Ould-Salihi et al. [5], Ploumhans et al. [6], Cottet and Poncet [7], and Cottet and Poncet [8]. Those methods essentially decouple the vortex dynamics (convection and stretching) from the effects of viscosity. In recent years, the VIScous Vorticity Equation (VISVE), has been solved by using a finite volume method, without decoupling the vorticity dynamics from the effects of viscosity. This method has been applied to 2-D and 3-D hydrofoils, cylinders, as well as propeller blades as described in Tian [9], Tian and Kinnas [10], Wu et al.