Chapter 2 Kinematics: Deformation and Flow
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Geometrical Tools for Embedding Fields, Submanifolds, and Foliations Arxiv
Geometrical tools for embedding fields, submanifolds, and foliations Antony J. Speranza∗ Perimeter Institute for Theoretical Physics, 31 Caroline St. N, Waterloo, ON N2L 2Y5, Canada Abstract Embedding fields provide a way of coupling a background structure to a theory while preserving diffeomorphism-invariance. Examples of such background structures include embedded submani- folds, such as branes; boundaries of local subregions, such as the Ryu-Takayanagi surface in holog- raphy; and foliations, which appear in fluid dynamics and force-free electrodynamics. This work presents a systematic framework for computing geometric properties of these background structures in the embedding field description. An overview of the local geometric quantities associated with a foliation is given, including a review of the Gauss, Codazzi, and Ricci-Voss equations, which relate the geometry of the foliation to the ambient curvature. Generalizations of these equations for cur- vature in the nonintegrable normal directions are derived. Particular care is given to the question of which objects are well-defined for single submanifolds, and which depend on the structure of the foliation away from a submanifold. Variational formulas are provided for the geometric quantities, which involve contributions both from the variation of the embedding map as well as variations of the ambient metric. As an application of these variational formulas, a derivation is given of the Jacobi equation, describing perturbations of extremal area surfaces of arbitrary codimension. The embedding field formalism is also applied to the problem of classifying boundary conditions for general relativity in a finite subregion that lead to integrable Hamiltonians. The framework developed in this paper will provide a useful set of tools for future analyses of brane dynamics, fluid arXiv:1904.08012v2 [gr-qc] 26 Apr 2019 mechanics, and edge modes for finite subregions of diffeomorphism-invariant theories. -
Chapter 5 Constitutive Modelling
Chapter 5 Constitutive Modelling 5.1 Introduction Lecture 14 Thus far we have established four conservation (or balance) equations, an entropy inequality and a number of kinematic relationships. The overall set of governing equations are collected in Table 5.1. The Eulerian form has a one more independent equation because the density must be determined, 1 whereas in the Lagrangian form it is directly related to the prescribed initial densityρ 0. Physical Law Eulerian FormN Lagrangian Formn DR ∂r Kinematics: Dt =V , 3, ∂t =v, 3; Dρ ∇ · Mass: Dt +ρ R V=0, 1,ρ 0 =ρJ, 0; DV ∇ · ∂v ∇ · Linear momentum:ρ Dt = R T+ρF , 3,ρ 0 ∂t = r p+ρ 0f, 3; Angular momentum:T=T T , 3,s=s T , 3; DΦ ∂φ Energy:ρ =T:D+ρB ∇ ·Q, 1,ρ =s: e˙+ρ b ∇ r ·q, 1; Dt − R 0 ∂t 0 − Dη ∂η0 Entropy inequality:ρ ∇ ·(Q/Θ)+ρB/Θ, 0,ρ ∇r (q/θ)+ρ b/θ, 0. Dt ≥ − R 0 ∂t ≥ − 0 Independent Equations: 11 10 Table 5.1: The governing equations for continuum mechanics in Eulerian and Lagrangian form. N is the number of independent equations in Eulerian form andn is the number of independent equations in Lagrangian form. Examining the equations reveals that they involve more unknown variables than equations, listed in Table 5.2. Once again the fact that the density in the Lagrangian formulation is prescribed means that there is one fewer unknown compared to the Eulerian formulation. Thus, in either formulation and additional eleven equations are required to close the system. -
Correct Expression of Material Derivative and Application to the Navier-Stokes Equation —– the Solution Existence Condition of Navier-Stokes Equation
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 15 June 2020 doi:10.20944/preprints202003.0030.v4 Correct Expression of Material Derivative and Application to the Navier-Stokes Equation |{ The solution existence condition of Navier-Stokes equation Bo-Hua Sun1 1 School of Civil Engineering & Institute of Mechanics and Technology Xi'an University of Architecture and Technology, Xi'an 710055, China http://imt.xauat.edu.cn email: [email protected] (Dated: June 15, 2020) The material derivative is important in continuum physics. This paper shows that the expression d @ dt = @t + (v · r), used in most literature and textbooks, is incorrect. This article presents correct d(:) @ expression of the material derivative, namely dt = @t (:) + v · [r(:)]. As an application, the form- solution of the Navier-Stokes equation is proposed. The form-solution reveals that the solution existence condition of the Navier-Stokes equation is that "The Navier-Stokes equation has a solution if and only if the determinant of flow velocity gradient is not zero, namely det(rv) 6= 0." Keywords: material derivative, velocity gradient, tensor calculus, tensor determinant, Navier-Stokes equa- tions, solution existence condition In continuum physics, there are two ways of describ- derivative as in Ref. 1. Therefore, to revive the great ing continuous media or flows, the Lagrangian descrip- influence of Landau in physics and fluid mechanics, we at- tion and the Eulerian description. In the Eulerian de- tempt to address this issue in this dedicated paper, where scription, the material derivative with respect to time we revisit the material derivative to show why the oper- d @ dv @v must be defined. -
Multilinear Algebra
Appendix A Multilinear Algebra This chapter presents concepts from multilinear algebra based on the basic properties of finite dimensional vector spaces and linear maps. The primary aim of the chapter is to give a concise introduction to alternating tensors which are necessary to define differential forms on manifolds. Many of the stated definitions and propositions can be found in Lee [1], Chaps. 11, 12 and 14. Some definitions and propositions are complemented by short and simple examples. First, in Sect. A.1 dual and bidual vector spaces are discussed. Subsequently, in Sects. A.2–A.4, tensors and alternating tensors together with operations such as the tensor and wedge product are introduced. Lastly, in Sect. A.5, the concepts which are necessary to introduce the wedge product are summarized in eight steps. A.1 The Dual Space Let V be a real vector space of finite dimension dim V = n.Let(e1,...,en) be a basis of V . Then every v ∈ V can be uniquely represented as a linear combination i v = v ei , (A.1) where summation convention over repeated indices is applied. The coefficients vi ∈ R arereferredtoascomponents of the vector v. Throughout the whole chapter, only finite dimensional real vector spaces, typically denoted by V , are treated. When not stated differently, summation convention is applied. Definition A.1 (Dual Space)Thedual space of V is the set of real-valued linear functionals ∗ V := {ω : V → R : ω linear} . (A.2) The elements of the dual space V ∗ are called linear forms on V . © Springer International Publishing Switzerland 2015 123 S.R. -
Continuum Fluid Mechanics
CONTINUUM FLUID MECHANICS Motion A body is a collection of material particles. The point X is a material point and it is the position of the material particles at time zero. x3 Definition: A one-to-one one-parameter mapping X3 x(X, t ) x = x(X, t) X x X 2 x 2 is called motion. The inverse t =0 x1 X1 X = X(x, t) Figure 1. Schematic of motion. is the inverse motion. X k are referred to as the material coordinates of particle x , and x is the spatial point occupied by X at time t. Theorem: The inverse motion exists if the Jacobian, J of the transformation is nonzero. That is ∂x ∂x J = det = det k ≠ 0 . ∂X ∂X K This is the statement of the fundamental theorem of calculus. Definition: Streamlines are the family of curves tangent to the velocity vector field at time t . Given a velocity vector field v, streamlines are governed by the following equations: dx1 dx 2 dx 3 = = for a given t. v1 v 2 v3 Definition: The streak line of point x 0 at time t is a line, which is made up of material points, which have passed through point x 0 at different times τ ≤ t . Given a motion x i = x i (X, t) and its inverse X K = X K (x, t), it follows that the 0 0 material particle X k will pass through the spatial point x at time τ . i.e., ME639 1 G. Ahmadi 0 0 0 X k = X k (x ,τ). -
C:\Book\Booktex\C1s2.DVI
35 1.2 TENSOR CONCEPTS AND TRANSFORMATIONS § ~ For e1, e2, e3 independent orthogonal unit vectors (base vectors), we may write any vector A as ~ b b b A = A1 e1 + A2 e2 + A3 e3 ~ where (A1,A2,A3) are the coordinates of A relativeb to theb baseb vectors chosen. These components are the projection of A~ onto the base vectors and A~ =(A~ e ) e +(A~ e ) e +(A~ e ) e . · 1 1 · 2 2 · 3 3 ~ ~ ~ Select any three independent orthogonal vectors,b b (E1, Eb 2, bE3), not necessarilyb b of unit length, we can then write ~ ~ ~ E1 E2 E3 e1 = , e2 = , e3 = , E~ E~ E~ | 1| | 2| | 3| and consequently, the vector A~ canb be expressedb as b A~ E~ A~ E~ A~ E~ A~ = · 1 E~ + · 2 E~ + · 3 E~ . ~ ~ 1 ~ ~ 2 ~ ~ 3 E1 E1 ! E2 E2 ! E3 E3 ! · · · Here we say that A~ E~ · (i) ,i=1, 2, 3 E~ E~ (i) · (i) ~ ~ ~ ~ are the components of A relative to the chosen base vectors E1, E2, E3. Recall that the parenthesis about the subscript i denotes that there is no summation on this subscript. It is then treated as a free subscript which can have any of the values 1, 2or3. Reciprocal Basis ~ ~ ~ Consider a set of any three independent vectors (E1, E2, E3) which are not necessarily orthogonal, nor of unit length. In order to represent the vector A~ in terms of these vectors we must find components (A1,A2,A3) such that ~ 1 ~ 2 ~ 3 ~ A = A E1 + A E2 + A E3. This can be done by taking appropriate projections and obtaining three equations and three unknowns from which the components are determined. -
Ch.1. Description of Motion
CH.1. DESCRIPTION OF MOTION Multimedia Course on Continuum Mechanics Overview 1.1. Definition of the Continuous Medium 1.1.1. Concept of Continuum Lecture 1 1.1.2. Continuous Medium or Continuum 1.2. Equations of Motion 1.2.1 Configurations of the Continuous Medium 1.2.2. Material and Spatial Coordinates Lecture 2 1.2.3. Equation of Motion and Inverse Equation of Motion 1.2.4. Mathematical Restrictions 1.2.5. Example Lecture 3 1.3. Descriptions of Motion 1.3.1. Material or Lagrangian Description Lecture 4 1.3.2. Spatial or Eulerian Description 1.3.3. Example Lecture 5 2 Overview (cont’d) 1.4. Time Derivatives Lecture 6 1.4.1. Material and Local Derivatives 1.4.2. Convective Rate of Change Lecture 7 1.4.3. Example Lecture 8 1.5. Velocity and Acceleration 1.5.1. Velocity Lecture 9 1.5.2. Acceleration 1.5.3. Example 1.6. Stationarity and Uniformity 1.6.1. Stationary Properties Lecture 10 1.6.2. Uniform Properties 3 Overview (cont’d) 1.7. Trajectory or Pathline 1.7.1. Equation of the Trajectories 1.7.2. Example 1.8. Streamlines Lecture 11 1.8.1. Equation of the Streamlines 1.8.2. Trajectories and Streamlines 1.8.3. Example 1.8.4. Streamtubes 1.9. Control and Material Surfaces 1.9.1. Control Surface 1.9.2. Material Surface Lecture 12 1.9.3. Control Volume 1.9.4. Material Volume 4 1.1 Definition of the Continuous Medium Ch.1. Description of Motion 5 The Concept of Continuum Microscopic scale: Matter is made of atoms which may be grouped in molecules. -
1. Transport and Mixing 1.1 the Material Derivative Let Be The
1. Transport and mixing 1.1 The material derivative LetV() x, t be the velocity of a fluid at the pointx = ()x,, y z and timet . Consider also some scalar fieldχ()x, t such as the temperature or density. We are interested not only in the partial derivative ofχ with respect to time,∂χ ∂⁄ t , but also in the time derivative following the motion of the fluid,dχ ⁄ dt . The latter is the so-called material derivative: dχ ⁄dt = lim [] χ(x+ V() x, t δt, t+ δ t )– χ()x, t δ⁄ t δt → 0 . (1.1) = (∂⁄ ∂t + V ⋅ ∇ )χ (),, ∇() ∂ ,,∂ ∂ In Cartesian coordinates,V = u v w ,= x y z and dχ ⁄dt = ∂ χ ∂⁄ t + u∂χ ∂⁄ x +v∂χ ∂⁄ y + w∂χ ∂⁄ z . (1.2) We will also be using spherical coordinates. The notation()u,, v w is conventional for the (eastward, northward, radially outward) components of the velocity field. In addition to the radial distance from the origin,r , we use the symbolθ for latitude (–π ⁄ 2 at the south pole,π ⁄ 2 at the north pole) andλ for longitude (ranging for zero to2π ). The gradient operator in these coordi- nates is ∇= λˆ ()r cosθ –1(∂⁄ ∂λ )+ θˆ r–1()∂⁄ ∂θ + rˆ()∂⁄ ∂r , (1.3) so that d⁄ dt = ∂⁄ ∂t +()r cosθ –1u()∂⁄ ∂λ +r–1v()∂⁄ ∂θ + w()∂⁄ ∂r . (1.4) The material derivative of a vector, such as the velocityV itself, is defined just as in 1.1. But care is required when considering the material derivative of a component of a vector if the unit vectors of one’s coordinate system are position dependent, as they are in spherical coordi- nates. -
APPLIED ELASTICITY, 2Nd Edition Matrix and Tensor Analysis of Elastic Continua
APPLIED ELASTICITY, 2nd Edition Matrix and Tensor Analysis of Elastic Continua Talking of education, "People have now a-days" (said he) "got a strange opinion that every thing should be taught by lectures. Now, I cannot see that lectures can do so much good as reading the books from which the lectures are taken. I know nothing that can be best taught by lectures, expect where experiments are to be shewn. You may teach chymestry by lectures. — You might teach making of shoes by lectures.' " James Boswell: Lifeof Samuel Johnson, 1766 [1709-1784] ABOUT THE AUTHOR In 1947 John D Renton was admitted to a Reserved Place (entitling him to free tuition) at King Edward's School in Edgbaston, Birmingham which was then a Grammar School. After six years there, followed by two doing National Service in the RAF, he became an undergraduate in Civil Engineering at Birmingham University, and obtained First Class Honours in 1958. He then became a research student of Dr A H Chilver (now Lord Chilver) working on the stability of space frames at Fitzwilliam House, Cambridge. Part of the research involved writing the first computer program for analysing three-dimensional structures, which was used by the consultants Ove Arup in their design project for the roof of the Sydney Opera House. He won a Research Fellowship at St John's College Cambridge in 1961, from where he moved to Oxford University to take up a teaching post at the Department of Engineering Science in 1963. This was followed by a Tutorial Fellowship to St Catherine's College in 1966. -
General Navier-Stokes-Like Momentum and Mass-Energy Equations
General Navier-Stokes-like Momentum and Mass-Energy Equations Jorge Monreal Department of Physics, University of South Florida, Tampa, Florida, USA Abstract A new system of general Navier-Stokes-like equations is proposed to model electromagnetic flow utilizing analogues of hydrodynamic conservation equa- tions. Such equations are intended to provide a different perspective and, potentially, a better understanding of electromagnetic mass, energy and mo- mentum behavior. Under such a new framework additional insights into electromagnetism could be gained. To that end, we propose a system of momentum and mass-energy conservation equations coupled through both momentum density and velocity vectors. Keywords: Navier-Stokes; Electromagnetism; Euler equations; hydrodynamics PACS: 42.25.Dd, 47.10.ab, 47.10.ad 1. Introduction 1.1. System of Navier-Stokes Equations Several groups have applied the Navier-Stokes (NS) equations to Electro- magnetic (EM) fields through analogies of EM field flows to hydrodynamic fluid flow. Most recently, Boriskina and Reinhard made a hydrodynamic analogy utilizing Euler’s approximation to the Navier-Stokes equation in arXiv:1410.6794v2 [physics.class-ph] 29 Aug 2016 order to describe their concept of Vortex Nanogear Transmissions (VNT), which arise from complex electromagnetic interactions in plasmonic nanos- tructures [1]. In 1998, H. Marmanis published a paper that described hydro- dynamic turbulence and made direct analogies between components of the Email address: [email protected] (Jorge Monreal) Preprint submitted to Annals of Physics August 30, 2016 NS equation and Maxwell’s equations of electromagnetism[2]. Kambe for- mulated equations of compressible fluids using analogous Maxwell’s relation and the Euler approximation to the NS equation[3]. -
24 Aug 2017 the Shape Derivative of the Gauss Curvature
The shape derivative of the Gauss curvature∗ An´ıbal Chicco-Ruiz, Pedro Morin, and M. Sebastian Pauletti UNL, Consejo Nacional de Investigaciones Cient´ıficas y T´ecnicas, FIQ, Santiago del Estero 2829, S3000AOM, Santa Fe, Argentina. achicco,pmorin,[email protected] August 25, 2017 Abstract We introduce new results about the shape derivatives of scalar- and vector-valued functions. They extend the results from [8] to more general surface energies. In [8] Do˘gan and Nochetto consider surface energies defined as integrals over surfaces of functions that can depend on the position, the unit normal and the mean curvature of the surface. In this work we present a systematic way to derive formulas for the shape derivative of more general geometric quantities, including the Gauss curvature (a new result not available in the literature) and other geometric invariants (eigenvalues of the second fundamental form). This is done for hyper-surfaces in the Euclidean space of any finite dimension. As an application of the results, with relevance for numerical methods in applied problems, we introduce a new scheme of Newton-type to approximate a minimizer of a shape functional. It is a mathematically sound generalization of the method presented in [5]. We finally find the particular formulas for the first and second order shape derivative of the area and the Willmore functional, which are necessary for the Newton-type method mentioned above. 2010 Mathematics Subject Classification. 65K10, 49M15, 53A10, 53A55. arXiv:1708.07440v1 [math.OC] 24 Aug 2017 Keywords. Shape derivative, Gauss curvature, shape optimization, differentiation formulas. 1 Introduction Energies that depend on the domain appear in applications in many areas, from materials science, to biology, to image processing. -
Ch.2. Deformation and Strain
CH.2. DEFORMATION AND STRAIN Multimedia Course on Continuum Mechanics Overview Introduction Lecture 1 Deformation Gradient Tensor Material Deformation Gradient Tensor Lecture 2 Lecture 3 Inverse (Spatial) Deformation Gradient Tensor Displacements Lecture 4 Displacement Gradient Tensors Strain Tensors Green-Lagrange or Material Strain Tensor Lecture 5 Euler-Almansi or Spatial Strain Tensor Variation of Distances Stretch Lecture 6 Unit elongation Variation of Angles Lecture 7 2 Overview (cont’d) Physical interpretation of the Strain Tensors Lecture 8 Material Strain Tensor, E Spatial Strain Tensor, e Lecture 9 Polar Decomposition Lecture 10 Volume Variation Lecture 11 Area Variation Lecture 12 Volumetric Strain Lecture 13 Infinitesimal Strain Infinitesimal Strain Theory Strain Tensors Stretch and Unit Elongation Lecture 14 Physical Interpretation of Infinitesimal Strains Engineering Strains Variation of Angles 3 Overview (cont’d) Infinitesimal Strain (cont’d) Polar Decomposition Lecture 15 Volumetric Strain Strain Rate Spatial Velocity Gradient Tensor Lecture 16 Strain Rate Tensor and Rotation Rate Tensor or Spin Tensor Physical Interpretation of the Tensors Material Derivatives Lecture 17 Other Coordinate Systems Cylindrical Coordinates Lecture 18 Spherical Coordinates 4 2.1 Introduction Ch.2. Deformation and Strain 5 Deformation Deformation: transformation of a body from a reference configuration to a current configuration. Focus on the relative movement of a given particle w.r.t. the particles in its neighbourhood (at differential level). It includes changes of size and shape. 6 2.2 Deformation Gradient Tensors Ch.2. Deformation and Strain 7 Continuous Medium in Movement Ω0: non-deformed (or reference) Ω or Ωt: deformed (or present) configuration, at reference time t0. configuration, at present time t.