Potential Fields in Fluid Mechanics: a Review of Two Classical Approaches and Related Recent Advances
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Variational Formulation of Fluid and Geophysical Fluid Dynamics
Advances in Geophysical and Environmental Mechanics and Mathematics Gualtiero Badin Fulvio Crisciani Variational Formulation of Fluid and Geophysical Fluid Dynamics Mechanics, Symmetries and Conservation Laws Advances in Geophysical and Environmental Mechanics and Mathematics Series editor Holger Steeb, Institute of Applied Mechanics (CE), University of Stuttgart, Stuttgart, Germany More information about this series at http://www.springer.com/series/7540 Gualtiero Badin • Fulvio Crisciani Variational Formulation of Fluid and Geophysical Fluid Dynamics Mechanics, Symmetries and Conservation Laws 123 Gualtiero Badin Fulvio Crisciani Universität Hamburg University of Trieste Hamburg Trieste Germany Italy ISSN 1866-8348 ISSN 1866-8356 (electronic) Advances in Geophysical and Environmental Mechanics and Mathematics ISBN 978-3-319-59694-5 ISBN 978-3-319-59695-2 (eBook) DOI 10.1007/978-3-319-59695-2 Library of Congress Control Number: 2017949166 © Springer International Publishing AG 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. -
Future Directions of Computational Fluid Dynamics
Future Directions of Computational Fluid Dynamics F. D. Witherden∗ and A. Jameson† Stanford University, Stanford, CA, 94305 For the past fifteen years computational fluid dynamics (CFD) has been on a plateau. Due to the inability of current-generation approaches to accurately predict the dynamics of turbulent separated flows, reliable use of CFD has been restricted to a small regionof the operating design space. In this paper we make the case for large eddy simulations as a means of expanding the envelope of CFD. As part of this we outline several key challenges which must be overcome in order to enable its adoption within industry. Specific issues that we will address include the impact of heterogeneous massively parallel computing hardware, the need for new and novel numerical algorithms, and the increasingly complex nature of methods and their respective implementations. I. Introduction Computational fluid dynamics (CFD) is a relatively young discipline, having emerged during the last50 years. During this period advances in CFD have been paced by advances in the available computational hardware, which have enabled its application to progressively more complex engineering and scientific prob- lems. At this point CFD has revolutionized the design process in the aerospace industry, and its use is pervasive in many other fields of engineering ranging from automobiles to ships to wind energy. Itisalso a key tool for scientific investigation of the physics of fluid motion, and in other branches of sciencesuch as astrophysics. Additionally, throughout its history CFD has been an important incubator for the formu- lation and development of numerical algorithms which have been seminal to advances in other branches of computational physics. -
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. -
Representation of Divergence-Free Vector Fields
CENTRO DE MATEMATICA´ E APLICAC¸ OES˜ FUNDAMENTAIS PrePrint Pre-2009-017 http://cmaf.ptmat.fc.ul.pt/preprints.html REPRESENTATION OF DIVERGENCE-FREE VECTOR FIELDS CRISTIAN BARBAROSIE CMAF, Av. Prof. Gama Pinto, 2, 1649-003 Lisboa, Portugal web page: http://cmaf.ptmat.fc.ul.pt/~barbaros/ e-mail: [email protected] Abstract. This paper focuses on a representation result for divergence-free vector fields. Known results are recalled, namely the representation of divergence-free vector fields as curls in two and three dimensions. The representation proposed in the present paper expresses the vector field as exterior product of gradients and stands valid in arbitrary dimension. Links to computer graphics and partial differential equations are discussed. 1. Introduction. The aim of this paper is to study properties of vector fields having zero divergence, with particular emphasis on the representation of such vector fields in terms of a potential (which may be vector-valued). More precisely, a divergence-free vector field in Rn is expressed as exterior product of n − 1 gradients. The main result is stated in Theorem 7.3. This representation appears sometimes in textbooks on mechanics (especially fluid mechanics) and electromagnetism is a somewhat vage formulation; see the bibliographical comments at the end of Section 5. One motivation for seeking this type of representation result comes from computer graphics, see Section 4. Another motivation is related to elliptic partial differential equations, see Section 8. The outline of the paper is as follows. Section 2 presents results on two-dimensional vector fields, some of which are well-known from graduate-level calculus. -
The Fluid Dynamics of Spin - a Fisher Information Perspective and Comoving Scalars
Chaotic Modeling and Simulation (CMSIM) 1: 17{30, 2020 The Fluid Dynamics of Spin - a Fisher Information Perspective and Comoving Scalars Asher Yahalom Ariel University, Ariel 40700, Israel (E-mail: [email protected]) Abstract. Two state systems have wide applicability in quantum modelling of var- ious systems. Here I return to the original two state system, that is Pauli's electron with a spin. And show how this system can be interpreted as a vortical fluid. The similarities and difference between spin flows and classical ideal flows are elucidated. It will be shown how the internal energy of the spin fluid can partially be interpreted in terms of Fisher Information. Keywords: Spin, Fluid dynamics. 1 Introduction The Copenhagen interpretation of quantum mechanics is probably the most prevalent approach. This approach defies any ontology quantum theory and declares it to be completely epistemological in accordance to the Kantian [1] conception of reality. However, in addition to this approach we see the devel- opment of another school that believed in the realism of the wave function. This approach that was championed by Einstein and Bohm [2{4] led to other interpretations of quantum mechanics among them the fluid interpretation due to do Madelung [5,6] which interpreted the modulus square as the fluid density and the phase as a potential of a velocity field. However, this model was limited to spin less electrons and could not take into account a complete set of electron attributes even for non relativistic electrons. A spin dependent non relativistic quantum equation was first introduced by Wolfgang Pauli in 1927 [7]. -
Potential Flow
1.0 POTENTIAL FLOW One of the most important applications of potential flow theory is to aerodynamics and marine hydrodynamics. Key assumption. 1. Incompressibility – The density and specific weight are to be taken as constant. 2. Irrotationality – This implies a nonviscous fluid where particles are initially moving without rotation. 3. Steady flow – All properties and flow parameters are independent of time. (a) (b) Fig. 1.1 Examples of complicated immersed flows: (a) flow near a solid boundary; (b) flow around an automobile. In this section we will be concerned with the mathematical description of the motion of fluid elements moving in a flow field. A small fluid element in the shape of a cube which is initially in one position will move to another position during a short time interval as illustrated in Fig.1.1. Fig. 1.2 1.1 Continuity Equation v u = velocity component x direction y v y y y v = velocity component y direction u u x u x x x v x Continuity Equation Flow inwards = Flow outwards u v uy vx u xy v yx x y u v 0 - 2D x y u v w 0 - 3D x y z 1.2 Stream Function, (psi) y B Stream Line B A A u x -v The stream is continuity d vdx udy if (x, y) d dx dy x y u and v x y Integrated the equations dx dy C x y vdx udy C Continuity equation in 2 2 y x 0 or x y xy yx if 0 not continuity Vorticity equation, (rotational flow) 2 1 v u ; angular velocity (rad/s) 2 x y v u x y or substitute with 2 2 x 2 y 2 Irrotational flow, 0 Rotational flow. -
The Pressure Boundary Condition and the Pressure As Lagrangian for Water Waves
Water Waves (2019) 1:131–143 https://doi.org/10.1007/s42286-019-00001-0 ORIGINAL ARTICLE The Pressure Boundary Condition and the Pressure as Lagrangian for Water Waves Thomas J. Bridges1 Received: 24 July 2018 / Accepted: 2 January 2019 / Published online: 11 March 2019 © The Author(s) 2019 Abstract The pressure boundary condition for the full Euler equations with a free surface and general vorticity field is formulated in terms of a generalized Bernoulli equa- tion deduced from the Gavrilyuk–Kalisch–Khorsand conservation law. The use of pressure as a Lagrangian density, as in Luke’s variational principle, is reviewed and extension to a full vortical flow is attempted with limited success. However, a new variational principle for time-dependent water waves in terms of the stream function is found. The variational principle generates vortical boundary conditions but with a harmonic stream function. Other aspects of vorticity in variational principles are also discussed. Keywords Oceanography · Lagrangian · Vorticity · Streamfunction · Variational principle 1 Introduction The dynamic boundary condition in the theory of water waves reduces, in the case of inviscid flow, to continuity of the pressure field. In inviscid irrotational flow this condition is replaced by the Bernoulli equation evaluated at the surface. In this paper, it is shown that there is a generalized Bernoulli equation valid for all inviscid flows. Restricting to two space dimensions with a free surface at y = h(x, t), the Bernoulli equation is + + − 1 2 − 1 2 + = ( ), t U x gh 2 U 2 V Pa f t (1.1) where (U, V ) is the velocity field evaluated at the free surface, Pa(x, t) is the imposed external pressure field, and f (t) is an arbitrary function of time. -
Introduction to Computational Fluid Dynamics by the Finite Volume Method
Introduction to Computational Fluid Dynamics by the Finite Volume Method Ali Ramezani, Goran Stipcich and Imanol Garcia BCAM - Basque Center for Applied Mathematics April 12–15, 2016 Overview on Computational Fluid Dynamics (CFD) 1. Overview on Computational Fluid Dynamics (CFD) 2 / 110 Overview on Computational Fluid Dynamics (CFD) What is CFD? I Fluids: mainly liquids and gases I The governing equations are known, but not their analytical solution: thus, we approximate it I By CFD we typically denote the set of numerical techniques used for the approximate solution (prevision) of the motion of fluids and the associated phenomena (heat exchange, combustion, fluid-structure interaction . ) I The solution of the governing differential (or integro-differential) equations is approximated by a discretization of space and time I From the continuum we move to the discrete level I The CFD is deeply connected to the improvement of computers in the last decades 3 / 110 Overview on Computational Fluid Dynamics (CFD) Applications of CFD I Any field where the fluid motion plays a relevant role: Industry Physics Medicine Meteorology Architecture Environment 4 / 110 Overview on Computational Fluid Dynamics (CFD) Applications of CFD II Moreover, the research front is particularly active: Basic research on fluid New numerical methods mechanics (e.g. transition to turbulence) Application oriented (e.g. renewable energy, competition . ) 5 / 110 Overview on Computational Fluid Dynamics (CFD) CFD: limits and potential I Method Advantages Disadvantages Experimental 1. More realistic 1. Need for instrumentation 2. Allows “complex” problems 2. Scale effects 3. Difficulty in measurements & perturbations 4. Operational costs Theoretical 1. Simple information 1. -
Eindhoven University of Technology MASTER Ghost Counts of Gas Turbine Meters Araujo, S
Eindhoven University of Technology MASTER Ghost counts of gas turbine meters Araujo, S. Award date: 2004 Link to publication Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain technische Department of Applied Physics u~iversiteit Fluid Dynamics Laberatory TU e emdhoven I Building: Cascade P.O. Box 513 Eindhoven University of Technology 5600MB Eindhoven Title Ghost counts of gas turbine meters Author S.B.Araujo Report number R-1581-A Date April2002 Masters thesis of the period April 2001 - April2002 Group Vortex Dynamics Advisors prof. dr. A. Hirschberg (TUle) dr. H. Riezebos (Gasunie) Abstract Thrbine meters are often used to measure volume flow through pipes. The company responsible for natural gas transportation in the Netherlands ( Gasunie) has recently observed what is called "ghost counts". -
POTENTIAL FLOW: in Which the Vorticity Is Zero
Chapter 1 Potential flow: 1.1 General formulation Inviscid and irrotational flows in the limit of high Reynolds number are referred to as ‘potential’ or ‘ideal’ flows. The term ‘inviscid’ refers to flows where viscous forces are small compared to inertial forces, so that the fluid viscosity can be neglected in comparison to fluid inertia. ‘Potential’ or ‘ideal’ flows are a class of inviscid flows in which the vorticity ω, which is the curl of the velocity vector, is zero, i. e. ∂uk ωi = ǫijk = 0 (1.1) ∂xj Since the curl of the velocity is zero, the velocity can be expressed as the gradient of a potential φ, ∂φ ui = (1.2) ∂xi and hence the name ‘potential flow’. Using equation 1.2 for the velocity field, the Navier-Stokes mass and mo- mentum equations can be written in terms of the velocity potential. The mass conservation equation, expressed in terms of the velocity potential, is, 2 ∂ui ∂ φ = 2 = 0 (1.3) ∂xi ∂xi Thus, the mass conservation equation simply states that the velocity potential satisfies the Laplace equation, 2φ = 0. Therefore, for potential flow we can use all the techiques developed∇ for solving the Laplace equation earlier. The momentum conservation equation an inviscid flow is, ∂ui ∂ui 1 ∂p fi + uj = + (1.4) ∂t ∂xj −ρ ∂xi ρ where fi is the body force per unit volume acting on the fluid. The second term on the right side of the above equation can be simplified for an irrotational flow 1 2 CHAPTER 1. POTENTIAL FLOW: in which the vorticity is zero. -
A Hamiltonian Boussinesq Model with Horizontally Sheared Currents
A Hamiltonian Boussinesq model with horizontally sheared currents Elena Gagarina1, Jaap van der Vegt, Vijaya Ambati, and Onno Bokhove2 Department of Applied Mathematics, University of Twente, Enschede, Netherlands 1Email: [email protected] 2Email: [email protected] Abstract We are interested in the numerical modeling of wave-current interactions around beaches’ surf zones. Any model to predict the onset of wave breaking at the breaker line needs to capture both the nonlinearity of the wave and its dispersion. We have formulated the Hamiltonian dynamics of a new water wave model. This model incorporates both the shallow water model and the potential flow model as limiting systems. The variational model derived by Cotter and Bokhove (2010) is such a model, but the variables used have been difficult to work with. Our new model has a three–dimensional velocity field consisting of the full three– dimensional potential field plus horizontal velocity components, such that the vertical component of vorticity is nonzero. Our aims are to augment the new model locally with bores and to derive a numerical finite element discretization of the new model including the capturing of bores. As a preliminary step, the variational finite element discretization of Miles’ variational principle coupled to an elliptic mesh generator is shown. 1. Introduction The beach surf zone is defined as the region of wave breaking and white capping between the moving shore line and the (generally time-dependent) breaker line. Consider nonlinear waves in the deeper water outside the surf zone approaching the beach, before any significant wave breaking occurs. The start of the surf zone on the offshore side is at the breaker line at which sustained wave breaking begins. -
Horizontal Circulation and Jumps in Hamiltonian Wave Models
EGU Journal Logos (RGB) Open Access Open Access Open Access Nonlin. Processes Geophys., 20, 483–500, 2013 Advanceswww.nonlin-processes-geophys.net/20/483/2013/ in Annales Nonlinear Processes doi:10.5194/npg-20-483-2013 Geosciences© Author(s) 2013. CC AttributionGeophysicae 3.0 License. in Geophysics Open Access Open Access Natural Hazards Natural Hazards and Earth System and Earth System Sciences Sciences Horizontal circulation and jumpsDiscussions in Hamiltonian wave models Open Access Open Access Atmospheric Atmospheric E. Gagarina1, J. van der Vegt1, and O. Bokhove1,2 Chemistry Chemistry 1Department of Applied Mathematics, University of Twente, Enschede, the Netherlands and Physics2School of Mathematics, University of Leeds,and Leeds, Physics UK Discussions Open Access CorrespondenceOpen Access to: O. Bokhove ([email protected]) Atmospheric Atmospheric Received: 10 January 2013 – Revised: 16 May 2013 – Accepted: 17 May 2013 – Published: 12 July 2013 Measurement Measurement Techniques Techniques Abstract. We are interested in the modelling of wave-current cal model that can predict the onset of wave breaking at the Discussions interactions around surf zones at beaches. Any model that breaker line will need to capture both the nonlinearity of the Open Access Open Access aims to predict the onset of wave breaking at the breaker line waves and their dispersion. Moreover the model has to in- needs to capture both the nonlinearity of the wave and its dis- clude vorticity effects to simulate wave–current interactions. Biogeosciences Biogeosciences persion. We have therefore formulated the HamiltonianDiscussions dy- Various mathematical models are used to describe water namics of a new water wave model, incorporating both the waves.