Vorticity and Potential Vorticity
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Energy, Vorticity and Enstrophy Conserving Mimetic Spectral Method for the Euler Equation
Master of Science Thesis Energy, vorticity and enstrophy conserving mimetic spectral method for the Euler equation D.J.D. de Ruijter, BSc 5 September 2013 Faculty of Aerospace Engineering · Delft University of Technology Energy, vorticity and enstrophy conserving mimetic spectral method for the Euler equation Master of Science Thesis For obtaining the degree of Master of Science in Aerospace Engineering at Delft University of Technology D.J.D. de Ruijter, BSc 5 September 2013 Faculty of Aerospace Engineering · Delft University of Technology Copyright ⃝c D.J.D. de Ruijter, BSc All rights reserved. Delft University Of Technology Department Of Aerodynamics, Wind Energy, Flight Performance & Propulsion The undersigned hereby certify that they have read and recommend to the Faculty of Aerospace Engineering for acceptance a thesis entitled \Energy, vorticity and enstro- phy conserving mimetic spectral method for the Euler equation" by D.J.D. de Ruijter, BSc in partial fulfillment of the requirements for the degree of Master of Science. Dated: 5 September 2013 Head of department: prof. dr. F. Scarano Supervisor: dr. ir. M.I. Gerritsma Reader: dr. ir. A.H. van Zuijlen Reader: P.J. Pinto Rebelo, MSc Summary The behaviour of an inviscid, constant density fluid on which no body forces act, may be modelled by the two-dimensional incompressible Euler equations, a non-linear system of partial differential equations. If a fluid whose behaviour is described by these equations, is confined to a space where no fluid flows in or out, the kinetic energy, vorticity integral and enstrophy integral within that space remain constant in time. Solving the Euler equations accompanied by appropriate boundary and initial conditions may be done analytically, but more often than not, no analytical solution is available. -
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. -
Potential Vorticity Dynamics and Tropopause Fold
POTENTIAL VORTICITY DYNAMICS AND TROPOPAUSE FOLD M.D. ANDREI1,2, M. PIETRISI1,2, S. STEFAN1 1 University of Bucharest, Faculty of Physics, P.O.BOX MG 11, Magurele, Bucharest, Romania Emails: [email protected]; [email protected] 2 National Meteorological Administration, Bucuresti-Ploiesti Ave., No. 97, 013686, Bucharest, Romania Received November 1, 2017 Abstract. Extra tropical cyclones evolution depends a lot on the dynamically and thermodynamically interactions between the lower and the upper troposphere. The aim of this paper is to demonstrate the importance of dynamic tropopause fold in the development of a cyclone which affected Romania in 12th and 13th of November, 2016. The coupling between a positive potential vorticity anomaly and the jet stream has caused the fall of dynamic tropopause, which has a great influence in the cyclone deepening. This synoptic situation has resulted in a big amount of precipitation and strong wind gusts. For the study, ALARO limited area spectral model analyzes (e.g., 300 hPa Potential Vorticity, 1,5 PVU field height, 300 hPa winds, mean sea level pressure), data from the Romanian National Meteorological Administration meteorological stations, cross-sections and satellite images (water vapor and RGB) were used. Accordingly, the results of this study will be used in operational forecast, for similar situations which would appear in the future, and can improve it. Key words: potential vorticity, tropopause fold, cyclone. 1. INTRODUCTION Dynamic tropopause is the 1.5 or 2 PVU (potential vorticity units) surface that separates the dry, stable, stratospheric air from the humid, unstable, tropospheric air [1]. The dynamic tropopause fold corresponds to a positive potential vorticity anomaly, with high amplitude in the upper troposphere [2, 3], which induces a cyclonic circulation that propagates to the surface and reduce, under it, static stability. -
Potential Vorticity Diagnosis of a Simulated Hurricane. Part I: Formulation and Quasi-Balanced Flow
1JULY 2003 WANG AND ZHANG 1593 Potential Vorticity Diagnosis of a Simulated Hurricane. Part I: Formulation and Quasi-Balanced Flow XINGBAO WANG AND DA-LIN ZHANG Department of Meteorology, University of Maryland at College Park, College Park, Maryland (Manuscript received 20 August 2002, in ®nal form 27 January 2003) ABSTRACT Because of the lack of three-dimensional (3D) high-resolution data and the existence of highly nonelliptic ¯ows, few studies have been conducted to investigate the inner-core quasi-balanced characteristics of hurricanes. In this study, a potential vorticity (PV) inversion system is developed, which includes the nonconservative processes of friction, diabatic heating, and water loading. It requires hurricane ¯ows to be statically and inertially stable but allows for the presence of small negative PV. To facilitate the PV inversion with the nonlinear balance (NLB) equation, hurricane ¯ows are decomposed into an axisymmetric, gradient-balanced reference state and asymmetric perturbations. Meanwhile, the nonellipticity of the NLB equation is circumvented by multiplying a small parameter « and combining it with the PV equation, which effectively reduces the in¯uence of anticyclonic vorticity. A quasi-balanced v equation in pseudoheight coordinates is derived, which includes the effects of friction and diabatic heating as well as differential vorticity advection and the Laplacians of thermal advection by both nondivergent and divergent winds. This quasi-balanced PV±v inversion system is tested with an explicit simulation of Hurricane Andrew (1992) with the ®nest grid size of 6 km. It is shown that (a) the PV±v inversion system could recover almost all typical features in a hurricane, and (b) a sizeable portion of the 3D hurricane ¯ows are quasi-balanced, such as the intense rotational winds, organized eyewall updrafts and subsidence in the eye, cyclonic in¯ow in the boundary layer, and upper-level anticyclonic out¯ow. -
An Overview of Impellers, Velocity Profile and Reactor Design
An Overview of Impellers, Velocity Profile and Reactor Design Praveen Patel1, Pranay Vaidya1, Gurmeet Singh2 1Indian Institute of Technology Bombay, India 1Indian Oil Corporation Limited, R&D Centre Faridabad Abstract: This paper presents a simulation operation and hence in estimating the approach to develop a model for understanding efficiency of the operating system. The the mixing phenomenon in a stirred vessel. The involved processes can be analysed to optimize mixing in the vessel is important for effective the products of a technology, through defining chemical reaction, heat transfer, mass transfer the model with adequate parameters. and phase homogeneity. In some cases, it is Reactors are always important parts of any very difficult to obtain experimental working industry, and for a detailed study using information and it takes a long time to collect several parameters many readings are to be the necessary data. Such problems can be taken and the system has to be observed for all solved using computational fluid dynamics adversities of environment to correct for any (CFD) model, which is less time consuming, inexpensive and has the capability to visualize skewness of values. As such huge amount of required data, it takes a long time to collect the real system in three dimensions. enough to build a model. In some cases, also it As reactor constructions and impeller is difficult to obtain experimental information configurations were identified as the potent also. Pilot plant experiments can be considered variables that could affect the macromixing as an option, but this conventional method has phenomenon and hydrodynamics, these been left far behind by the advent of variables were modelled. -
(Potential) Vorticity: the Swirling Motion of Geophysical Fluids
(Potential) vorticity: the swirling motion of geophysical fluids Vortices occur abundantly in both atmosphere and oceans and on all scales. The leaves, chasing each other in autumn, are driven by vortices. The wake of boats and brides form strings of vortices in the water. On the global scale we all know the rotating nature of tropical cyclones and depressions in the atmosphere, and the gyres constituting the large-scale wind driven ocean circulation. To understand the role of vortices in geophysical fluids, vorticity and, in particular, potential vorticity are key quantities of the flow. In a 3D flow, vorticity is a 3D vector field with as complicated dynamics as the flow itself. In this lecture, we focus on 2D flow, so that vorticity reduces to a scalar field. More importantly, after including Earth rotation a fairly simple equation for planar geostrophic fluids arises which can explain many characteristics of the atmosphere and ocean circulation. In the lecture, we first will derive the vorticity equation and discuss the various terms. Next, we define the various vorticity related quantities: relative, planetary, absolute and potential vorticity. Using the shallow water equations, we derive the potential vorticity equation. In the final part of the lecture we discuss several applications of this equation of geophysical vortices and geophysical flow. The preparation material includes - Lecture slides - Chapter 12 of Stewart (http://www.colorado.edu/oclab/sites/default/files/attached- files/stewart_textbook.pdf), of which only sections 12.1-12.3 are discussed today. Willem Jan van de Berg Chapter 12 Vorticity in the Ocean Most of the fluid flows with which we are familiar, from bathtubs to swimming pools, are not rotating, or they are rotating so slowly that rotation is not im- portant except maybe at the drain of a bathtub as water is let out. -
Potential Vorticity
POTENTIAL VORTICITY Roger K. Smith March 3, 2003 Contents 1 Potential Vorticity Thinking - How might it help the fore- caster? 2 1.1Introduction............................ 2 1.2WhatisPV-thinking?...................... 4 1.3Examplesof‘PV-thinking’.................... 7 1.3.1 A thought-experiment for understanding tropical cy- clonemotion........................ 7 1.3.2 Kelvin-Helmholtz shear instability . ......... 9 1.3.3 Rossby wave propagation in a β-planechannel..... 12 1.4ThestructureofEPVintheatmosphere............ 13 1.4.1 Isentropicpotentialvorticitymaps........... 14 1.4.2 The vertical structure of upper-air PV anomalies . 18 2 A Potential Vorticity view of cyclogenesis 21 2.1PreliminaryIdeas......................... 21 2.2SurfacelayersofPV....................... 21 2.3Potentialvorticitygradientwaves................ 23 2.4 Baroclinic Instability . .................... 28 2.5 Applications to understanding cyclogenesis . ......... 30 3 Invertibility, iso-PV charts, diabatic and frictional effects. 33 3.1 Invertibility of EPV ........................ 33 3.2Iso-PVcharts........................... 33 3.3Diabaticandfrictionaleffects.................. 34 3.4Theeffectsofdiabaticheatingoncyclogenesis......... 36 3.5Thedemiseofcutofflowsandblockinganticyclones...... 36 3.6AdvantageofPVanalysisofcutofflows............. 37 3.7ThePVstructureoftropicalcyclones.............. 37 1 Chapter 1 Potential Vorticity Thinking - How might it help the forecaster? 1.1 Introduction A review paper on the applications of Potential Vorticity (PV-) concepts by Brian -
Vorticity and Strain Analysis Using Mohr Diagrams FLOW
Journal of Structural Geology, Vol, 10, No. 7, pp. 755 to 763, 1988 0191-8141/88 $03.00 + 0.00 Printed in Great Britain © 1988 Pergamon Press plc Vorticity and strain analysis using Mohr diagrams CEES W. PASSCHIER and JANOS L. URAI Instituut voor Aardwetenschappen, P.O. Box 80021,3508TA, Utrecht, The Netherlands (Received 16 December 1987; accepted in revisedform 9 May 1988) Abstract--Fabric elements in naturally deformed rocks are usually of a highly variable nature, and measurements contain a high degree of uncertainty. Calculation of general deformation parameters such as finite strain, volume change or the vorticity number of the flow can be difficult with such data. We present an application of the Mohr diagram for stretch which can be used with poorly constrained data on stretch and rotation of lines to construct the best fit to the position gradient tensor; this tensor describes all deformation parameters. The method has been tested on a slate specimen, yielding a kinematic vorticity number of 0.8 _+ 0.1. INTRODUCTION Two recent papers have suggested ways to determine this number in naturally deformed rocks (Ghosh 1987, ONE of the aims in structural geology is the reconstruc- Passchier 1988). These methods rely on the recognition tion of finite deformation parameters and the deforma- that certain fabric elements in naturally deformed rocks tion history for small volumes of rock from the geometry have a memory for sense of shear and flow vorticity and orientation of fabric elements. Such data can then number. Some examples are rotated porphyroblast- be used for reconstruction of large-scale deformation foliation systems (Ghosh 1987); sets of folded and patterns and eventually in tracing regional tectonics. -
Numerical Study of a Mixing Layer in Spatial and Temporal Development of a Stratified Flow M. Biage, M. S. Fernandes & P. Lo
Transactions on Engineering Sciences vol 18, © 1998 WIT Press, www.witpress.com, ISSN 1743-3533 Numerical study of a mixing layer in spatial and temporal development of a stratified flow M. Biage, M. S. Fernandes & P. Lopes Jr Department of Mechanical Engineering Center of Exact Science and Tecnology Federal University ofUberldndia, UFU- MG-Brazil [email protected] Abstract The two-dimensional plane shear layers for high Reynolds numbers are simulated using the transient explicit Spectral Collocation method. The fast and slow air streams are submitted to different densities. A temporally growing mixing layer, developing from a hyperbolic tangent velocity profile to which is superposed an infinitesimal white-noise perturbation over the initial condition, is studied. In the same way, a spatially growing mixing layer is also study. In this case, the flow in the inlet of the domain is perturbed by a time dependent white noise of small amplitude. The structure of the vorticity and the density are visualized for high Reynolds number for both cases studied. Broad-band kinetic energy and temperature spectra develop after the first pairing are observed. The results showed that similar conclusions are obtained for the temporal and spatial mixing layers. The spreading rate of the layer in particular is in good agreement with the works presented in the literature. 1 Introduction The intensely turbulent region formed at the boundary between two parallel fluid streams of different velocity has been studied for many years. This kind of flow is called of mixing layer. The mixing layer of a newtonian fluid, non-reactive and compressible flow, practically, is one of the most simple turbulent flow. -
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. -
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 -
Numerical Analysis and Fluid Flow Modeling of Incompressible Navier-Stokes Equations
UNLV Theses, Dissertations, Professional Papers, and Capstones 5-1-2019 Numerical Analysis and Fluid Flow Modeling of Incompressible Navier-Stokes Equations Tahj Hill Follow this and additional works at: https://digitalscholarship.unlv.edu/thesesdissertations Part of the Aerodynamics and Fluid Mechanics Commons, Applied Mathematics Commons, and the Mathematics Commons Repository Citation Hill, Tahj, "Numerical Analysis and Fluid Flow Modeling of Incompressible Navier-Stokes Equations" (2019). UNLV Theses, Dissertations, Professional Papers, and Capstones. 3611. http://dx.doi.org/10.34917/15778447 This Thesis is protected by copyright and/or related rights. It has been brought to you by Digital Scholarship@UNLV with permission from the rights-holder(s). You are free to use this Thesis in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This Thesis has been accepted for inclusion in UNLV Theses, Dissertations, Professional Papers, and Capstones by an authorized administrator of Digital Scholarship@UNLV. For more information, please contact [email protected]. NUMERICAL ANALYSIS AND FLUID FLOW MODELING OF INCOMPRESSIBLE NAVIER-STOKES EQUATIONS By Tahj Hill Bachelor of Science { Mathematical Sciences University of Nevada, Las Vegas 2013 A thesis submitted in partial fulfillment of the requirements