In Stokes Flow, the Stream Function Associated with the Velocity of The
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General Meteorology
Dynamic Meteorology 2 Lecture 9 Sahraei Physics Department Razi University http://www.razi.ac.ir/sahraei Stream Function Incompressible fluid uv 0 xy u ; v Definition of Stream Function y x Substituting these in the irrotationality condition, we have vu 0 xy 22 0 xy22 Velocity Potential Irrotational flow vu Since the, V 0 V 0 0 the flow field is irrotational. xy u ; v Definition of Velocity Potential x y Velocity potential is a powerful tool in analysing irrotational flows. Continuity Equation 22 uv 2 0 0 0 xy xy22 As with stream functions we can have lines along which potential is constant. These are called Equipotential Lines of the flow. Thus along a potential line c Flow along a line l Consider a fluid particle moving along a line l . dx For each small displacement dl dy dl idxˆˆ jdy Where iˆ and ˆj are unit vectors in the x and y directions, respectively. Since dl is parallel to V , then the cross product must be zero. V iuˆˆ jv V dl iuˆ ˆjv idx ˆ ˆjdy udy vdx kˆ 0 dx dy uv Stream Function dx dy l Since must be satisfied along a line , such a line is called a uv dl streamline or flow line. A mathematical construct called a stream function can describe flow associated with these lines. The Stream Function xy, is defined as the function which is constant along a streamline, much as a potential function is constant along an equipotential line. Since xy, is constant along a flow line, then for any , d dx dy 0 along the streamline xy Stream Functions d dx dy 0 dx dy xy xy dx dy vdx ud y uv uv , from which we can see that yx So that if one can find the stream function, one can get the discharge by differentiation. -
Potential Flow Theory
2.016 Hydrodynamics Reading #4 2.016 Hydrodynamics Prof. A.H. Techet Potential Flow Theory “When a flow is both frictionless and irrotational, pleasant things happen.” –F.M. White, Fluid Mechanics 4th ed. We can treat external flows around bodies as invicid (i.e. frictionless) and irrotational (i.e. the fluid particles are not rotating). This is because the viscous effects are limited to a thin layer next to the body called the boundary layer. In graduate classes like 2.25, you’ll learn how to solve for the invicid flow and then correct this within the boundary layer by considering viscosity. For now, let’s just learn how to solve for the invicid flow. We can define a potential function,!(x, z,t) , as a continuous function that satisfies the basic laws of fluid mechanics: conservation of mass and momentum, assuming incompressible, inviscid and irrotational flow. There is a vector identity (prove it for yourself!) that states for any scalar, ", " # "$ = 0 By definition, for irrotational flow, r ! " #V = 0 Therefore ! r V = "# ! where ! = !(x, y, z,t) is the velocity potential function. Such that the components of velocity in Cartesian coordinates, as functions of space and time, are ! "! "! "! u = , v = and w = (4.1) dx dy dz version 1.0 updated 9/22/2005 -1- ©2005 A. Techet 2.016 Hydrodynamics Reading #4 Laplace Equation The velocity must still satisfy the conservation of mass equation. We can substitute in the relationship between potential and velocity and arrive at the Laplace Equation, which we will revisit in our discussion on linear waves. -
Stream Function for Incompressible 2D Fluid
26/3/2020 Navier–Stokes equations - Wikipedia Continuity equation for incompressible fluid Regardless of the flow assumptions, a statement of the conservation of mass is generally necessary. This is achieved through the mass continuity equation, given in its most general form as: or, using the substantive derivative: For incompressible fluid, density along the line of flow remains constant over time, therefore divergence of velocity is null all the time Stream function for incompressible 2D fluid Taking the curl of the incompressible Navier–Stokes equation results in the elimination of pressure. This is especially easy to see if 2D Cartesian flow is assumed (like in the degenerate 3D case with uz = 0 and no dependence of anything on z), where the equations reduce to: Differentiating the first with respect to y, the second with respect to x and subtracting the resulting equations will eliminate pressure and any conservative force. For incompressible flow, defining the stream function ψ through results in mass continuity being unconditionally satisfied (given the stream function is continuous), and then incompressible Newtonian 2D momentum and mass conservation condense into one equation: 4 μ where ∇ is the 2D biharmonic operator and ν is the kinematic viscosity, ν = ρ. We can also express this compactly using the Jacobian determinant: https://en.wikipedia.org/wiki/Navier–Stokes_equations 1/2 26/3/2020 Navier–Stokes equations - Wikipedia This single equation together with appropriate boundary conditions describes 2D fluid flow, taking only kinematic viscosity as a parameter. Note that the equation for creeping flow results when the left side is assumed zero. In axisymmetric flow another stream function formulation, called the Stokes stream function, can be used to describe the velocity components of an incompressible flow with one scalar function. -
A Dual-Potential Formulation of the Navier-Stokes Equations Steven Gerard Gegg Iowa State University
Iowa State University Capstones, Theses and Retrospective Theses and Dissertations Dissertations 1989 A dual-potential formulation of the Navier-Stokes equations Steven Gerard Gegg Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/rtd Part of the Aerospace Engineering Commons, and the Mechanical Engineering Commons Recommended Citation Gegg, Steven Gerard, "A dual-potential formulation of the Navier-Stokes equations " (1989). Retrospective Theses and Dissertations. 9040. https://lib.dr.iastate.edu/rtd/9040 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. INFORMATION TO USERS The most advanced technology has been used to photo graph and reproduce this manuscript from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer. The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. Oversize materials (e.g., maps, drawings, charts) are re produced by sectioning the original, beginning at the upper left-hand corner and continuing from left to right in equal sections with small overlaps. -
Div-Curl Problems and H1-Regular Stream Functions in 3D Lipschitz Domains
Received 21 May 2020; Revised 01 February 2021; Accepted: 00 Month 0000 DOI: xxx/xxxx PREPRINT Div-Curl Problems and H1-regular Stream Functions in 3D Lipschitz Domains Matthias Kirchhart1 | Erick Schulz2 1Applied and Computational Mathematics, RWTH Aachen, Germany Abstract 2Seminar in Applied Mathematics, We consider the problem of recovering the divergence-free velocity field U Ë L2(Ω) ETH Zürich, Switzerland of a given vorticity F = curl U on a bounded Lipschitz domain Ω Ï R3. To that end, Correspondence we solve the “div-curl problem” for a given F Ë H*1(Ω). The solution is expressed in Matthias Kirchhart, Email: 1 [email protected] terms of a vector potential (or stream function) A Ë H (Ω) such that U = curl A. After discussing existence and uniqueness of solutions and associated vector potentials, Present Address Applied and Computational Mathematics we propose a well-posed construction for the stream function. A numerical method RWTH Aachen based on this construction is presented, and experiments confirm that the resulting Schinkelstraße 2 52062 Aachen approximations display higher regularity than those of another common approach. Germany KEYWORDS: div-curl system, stream function, vector potential, regularity, vorticity 1 INTRODUCTION Let Ω Ï R3 be a bounded Lipschitz domain. Given a vorticity field F .x/ Ë R3 defined over Ω, we are interested in solving the problem of velocity recovery: T curl U = F in Ω. (1) div U = 0 This problem naturally arises in fluid mechanics when studying the vorticity formulation of the incompressible Navier–Stokes equations. Vortex methods, for example, are based on the vorticity formulation and require a solution of problem (1) at every time-step. -
Useful Identities and Theorems from Vector Calculus
Appendix A Useful Identities and Theorems from Vector Calculus A.1 Vector Identities A · (B × C) = C · (A × B) = B · (C × A) A × (B × C) = B(A · C) − C(A · B) (A × B) × C = B(A · C) − A(B · C) ∇×∇f = 0 ∇·(∇×A) = 0 ∇·( f A) = (∇ f ) · A + f (∇·A) ∇×( f A) = (∇ f ) × A + f (∇×A) ∇·(A × B) = B · (∇×A) − A · (∇×B) ∇(A · B) = (B ·∇)A + (A ·∇)B + B × (∇×A) + A × (∇×B) ∇·(AB) = (A ·∇)B + B(∇·A) ∇×(A × B) = (B ·∇)A − (A ·∇)B − B(∇·A) + A(∇·B) ∇×(∇×A) =∇(∇·A) −∇2 A A.2 The Gradient Theorem For two points a, b in a space where a scalar function f with spatial derivatives everywhere well-defined up to first order, b (∇ f ) · d = f (b) − f (a), a independently of the integration path between a and b. P. Charbonneau, Solar and Stellar Dynamos, Saas-Fee Advanced Course 39, 215 DOI: 10.1007/978-3-642-32093-4, © Springer-Verlag Berlin Heidelberg 2013 216 Appendix A: Useful Identities and Theorems from Vector Calculus A.3 The Divergence Theorem For any vector field A with spatial derivatives of all its scalar components everywhere well-defined up to first order, (∇·A)dV = A · nˆ dS , V S where the surface S encloses the volume V . A.4 Stokes’ Theorem For any vector field A with spatial derivatives of all its scalar components everywhere well-defined up to first order, (∇×A) · nˆ dS = A · d , S γ where the contour γ delimits the surface S, and the orientation of the unit nor- mal vector nˆ and direction of contour integration are mutually linked by the right-hand rule. -
Applied Mathematics Letters a Remark on Jump Conditions for The
Applied Mathematics Letters PERGAMON Applied Mathematics Letters 14 (2001) 149 154 www.elsevier.nl/Iocate/aml A Remark on Jump Conditions for the Three-Dimensional Navier-Stokes Equations Involving an Immersed Moving Membrane MING-CHIH LAI Department of Mathematics, Chung Cheng University Minghsiung, Chiayi 621, Taiwan, R.O.C. mclai©math, ccu. edu. tw ZmUN LI Center for Research in Scientific Computation and Department of Mathematics North Carolina State University, Raleigh, NC 27695-8205, U.S.A. zhilin~math, ncsu. edu (Received March 2000; accepted April 2000) Communicated by A. Nachman Abstract--Jump conditions for the pressure, the velocity, and their normal derivatives across an immersed moving membrane in an incompressible fluid are derived. The discontinuities are due to the singular forces along the membrane. Instead of using the delta function formulation, those jump conditions can be used to formulate the governing equations in an alternative form. It is ~tlso useful for developing more accurate numerical methods such as immersed interface method [or the Navier-Stokes equations involving moving interface. @ 2000 Elsevier Science Ltd. All rights reserved. Keywords--Immersed boundary method, Immersed interface method, Jump conditions. EQUATIONS OF MOTION Problems of biological fluid mechanics often involve an interaction of a viscous incompressible fluid with an elastic moving membrane. One can consider this membrane as a part of the fluid which exerts forces to the fluid and at the same time moves along with the fluid. The mathematical formulation and numerical method for this kind of problem was first introduced by PeskJn to simulate the blood flow through heart valves [1]. -
Hydrogeology and Groundwater Flow
Hydrogeology and Groundwater Flow Hydrogeology (hydro- meaning water, and -geology meaning the study of rocks) is the part of hydrology that deals with the distribution and movement of groundwater in the soil and rocks of the Earth's crust, (commonly in aquifers). The term geohydrology is often used interchangeably. Some make the minor distinction between a hydrologist or engineer applying themselves to geology (geohydrology), and a geologist applying themselves to hydrology (hydrogeology). Hydrogeology (like most earth sciences) is an interdisciplinary subject; it can be difficult to account fully for the chemical, physical, biological and even legal interactions between soil, water, nature and society. Although the basic principles of hydrogeology are very intuitive (e.g., water flows "downhill"), the study of their interaction can be quite complex. Taking into account the interplay of the different facets of a multi-component system often requires knowledge in several diverse fields at both the experimental and theoretical levels. This being said, the following is a more traditional (reductionist viewpoint) introduction to the methods and nomenclature of saturated subsurface hydrology, or simply hydrogeology. © 2014 All Star Training, Inc. 1 Hydrogeology in Relation to Other Fields Hydrogeology, as stated above, is a branch of the earth sciences dealing with the flow of water through aquifers and other shallow porous media (typically less than 450 m or 1,500 ft below the land surface.) The very shallow flow of water in the subsurface (the upper 3 m or 10 ft) is pertinent to the fields of soil science, agriculture and civil engineering, as well as to hydrogeology. -
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 -
The Stream Function MATH1091: ODE Methods for a Reaction Diffusion Equation 2020/Stream/Stream.Pdf
The Stream Function MATH1091: ODE methods for a reaction diffusion equation http://people.sc.fsu.edu/∼jburkardt/classes/math1091 2020/stream/stream.pdf Stream lines reveal the paths of fluid flow. The Stream Function The flow of an incompressible fluid in a 2D region, which is usually described by a vector field (u,v), can also be represented by stream function (x; y). 1 The continuity equation At a given moment in time, the flow of a fluid in a 2D region can be represented by a velocity field, which we might represent as the vector field ~u(x; y) or as a pair of horizontal and vertical velocity components (u(x; y); v(x; y)). In general, the law of mass conservation must be applied to the mass velocity, that is, to the product of mass and velocity. But if the fluid is incompressible, then the mass conservation law can be applied directly to the velocity field itself, and has the form: @u @v r(u; v) ≡ + = 0 (Continuity equation) @x @y This is generally referred to as the continuity equation since it can be interpreted to say that, at any point, the flow coming in must equal the flow going out. The operatator r is computing the divergence of the vector field, and so the continuity equation is often stated as: \The divergence of an incompressible flow is zero everywhere." 2 Some sample flows We will start by considering some simple examples of velocity flow fields: • channel: parabolic flow through a straight channel in [0; 5] × [−1; +1]; • corner: flow that turns around a corner in [0; 1] × [0; 1]; • shear: layers of flow at different speeds in [0; 1] × [0; 1]; • vortex: flow that rotates around a center in [−1; 1] × [−1; 1]; 1 Each of the flows will be described using data in matrices. -
Numerical Modeling of Fluid Interface Phenomena
Numerical Modeling of Fluid Interface Phenomena SARA ZAHEDI Avhandling som med tillst˚andav Kungliga Tekniska h¨ogskolan framl¨aggestill offentlig granskning f¨oravl¨aggandeav teknologie licentiatexamen onsdagen den 10 juni 2009 kl 10:00 i sal D42, Lindstedtsv¨agen5, plan 4, Kungliga Tekniska h¨ogskolan, Stockholm. ISBN 978-91-7415-344-6 TRITA-CSC-A 2009:07 ISSN-1653-5723 ISRN-KTH/CSC/A{09/07-SE c Sara Zahedi, maj 2009 Abstract This thesis concerns numerical techniques for two phase flow simulations; the two phases are immiscible and incompressible fluids. The governing equations are the incompressible Navier{Stokes equations coupled with an evolution equation for interfaces. Strategies for accurate simulations are suggested. In particular, accurate approximations of the surface tension force, and a new model for simulations of contact line dynamics are proposed. In the popular level set methods, the interface that separates two immisci- ble fluids is implicitly defined as a level set of a function; in the standard level set method the zero level set of a signed distance function is used. The surface tension force acting on the interface can be modeled using the delta function with support on the interface. Approximations to such delta functions can be obtained by extending a regularized one{dimensional delta function to higher dimensions using a distance function. However, precaution is needed since it has been shown that this approach can lead to inconsistent approxima- tions. In this thesis we show consistency of this approach for a certain class of one{dimensional delta function approximations. We also propose a new model for simulating contact line dynamics. -
Streamfunction-Vorticity Formulation
Streamfunction-Vorticity Formulation A. Salih Department of Aerospace Engineering Indian Institute of Space Science and Technology, Thiruvananthapuram { March 2013 { The streamfunction-vorticity formulation was among the first unsteady, incompressible Navier{ Stokes algorithms. The original finite difference algorithm was developed by Fromm [1] at Los Alamos laboratory. For incompressible two-dimensional flows with constant fluid properties, the Navier{Stokes equations can be simplified by introducing the streamfunction y and vorticity w as dependent variables. The vorticity vector at a point is defined as twice the angular velocity and is w = ∇ ×V (1) which, for two-dimensional flow in x-y plane, is reduced to ¶v ¶u wz = w · kˆ = − (2) ¶x ¶y For two-dimensional, incompressible flows, a scalar function may be defined in such a way that the continuity equation is identically satisfied if the velocity components, expressed in terms of such a function, are substituted in the continuity equation ¶u ¶v + = 0 (3) ¶x ¶y Such a function is known as the streamfunction, and is given by V = ∇ × ykˆ (4) In Cartesian coordinate system, the above relation becomes ¶y ¶y u = v = − (5) ¶y ¶x Lines of constant y are streamlines (lines which are everywhere parallel to the flow), giving this variable its name. Now, a Poisson equation for y can be obtained by substituting the velocity components, in terms of streamfunction, in the equation (2). Thus, we have ∇2y = −w (6) where the subscript z is dropped from wz. This is a kinematic equation connecting the streamfunction and the vorticity. So if we can find an equation for w we will have obtained a formulation that automatically produces divergence-free velocity fields.