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Pure Torsion Problem in Tensor Notation [3] Sual I
56 Budownictwo i Architektura 18(1) (2019) 57-6961-73 DOI: 10.24358/Bud-Arch_19_181_06 7. References: [1] EN 206-1:2013, Concrete – Part 1: Specification, performance, production and conformity. [2] Holicky, M., Vorlicek. M., Fractile estimation and sampling inspection in building, Acta Polytechnica, CVUT Praha, 1992.Vol. 32. Issue 1, 87-96. Pure torsion problem in tensor notation [3] Sual I. Gass, and Arjang A. Assad, An annotated timeline of operation research. An informal history. Springer Science and Business Media, 2005. Sławomir Karaś [4] Harrison. T.A., Crompton, S., Eastwood. C., Richardson. G., Sym, R., Guidance on the application of the EN 206-1 conformity rules, Quarry Products Association, 2001. Department of Roads and Bridges, Faculty of Civil Engineering and Architecture, Lublin University of Technology, e–mail: [email protected] [5] Czarnecki, L. et al., Concrete according to PN EN 206-1- The comment - Collective work, Polish ORCID: 0000-0002-0626-5582 Cement and PKN, Cracow, Poland, 2004. [6] Lynch, B., Kelly, J., McGrath, M., Murphy, B., Newell, J., The new Concrete Standards, An Abstract: The paper examines the application of the tensor calculus to the classic Introduction to EN 206-1, The Irish Concrete Society, 2004. problem of the pure torsion of prismatic rods. The introduction contains a short description [7] Montgomery, D.C., Introduction to Statistical Quality Control, 5th Ed., Wiley, 2005. of the reference frames, base vectors, contravariant and covariant vector coordinates when [8] Taerwe, L., Evaluation of compound compliance criteria for concrete strength, Materials and applying the Einstein summation convention. Torsion formulas were derived according to Structures, 1998, 21, pp. -
A Brief Tour of Vector Calculus
A BRIEF TOUR OF VECTOR CALCULUS A. HAVENS Contents 0 Prelude ii 1 Directional Derivatives, the Gradient and the Del Operator 1 1.1 Conceptual Review: Directional Derivatives and the Gradient........... 1 1.2 The Gradient as a Vector Field............................ 5 1.3 The Gradient Flow and Critical Points ....................... 10 1.4 The Del Operator and the Gradient in Other Coordinates*............ 17 1.5 Problems........................................ 21 2 Vector Fields in Low Dimensions 26 2 3 2.1 General Vector Fields in Domains of R and R . 26 2.2 Flows and Integral Curves .............................. 31 2.3 Conservative Vector Fields and Potentials...................... 32 2.4 Vector Fields from Frames*.............................. 37 2.5 Divergence, Curl, Jacobians, and the Laplacian................... 41 2.6 Parametrized Surfaces and Coordinate Vector Fields*............... 48 2.7 Tangent Vectors, Normal Vectors, and Orientations*................ 52 2.8 Problems........................................ 58 3 Line Integrals 66 3.1 Defining Scalar Line Integrals............................. 66 3.2 Line Integrals in Vector Fields ............................ 75 3.3 Work in a Force Field................................. 78 3.4 The Fundamental Theorem of Line Integrals .................... 79 3.5 Motion in Conservative Force Fields Conserves Energy .............. 81 3.6 Path Independence and Corollaries of the Fundamental Theorem......... 82 3.7 Green's Theorem.................................... 84 3.8 Problems........................................ 89 4 Surface Integrals, Flux, and Fundamental Theorems 93 4.1 Surface Integrals of Scalar Fields........................... 93 4.2 Flux........................................... 96 4.3 The Gradient, Divergence, and Curl Operators Via Limits* . 103 4.4 The Stokes-Kelvin Theorem..............................108 4.5 The Divergence Theorem ...............................112 4.6 Problems........................................114 List of Figures 117 i 11/14/19 Multivariate Calculus: Vector Calculus Havens 0. -
Divergence and Curl Operators in Skew Coordinates
International Journal of Modeling and Optimization, Vol. 5, No. 3, June 2015 Divergence and Curl Operators in Skew Coordinates Rajai S. Alassar and Mohammed A. Abushoshah where r is the position vector in any three dimensional space, Abstract—The divergence and curl operators appear in i.e. r r(,,) u1 u 2 u 3 . numerous differential equations governing engineering and physics problems. These operators, whose forms are well r Note that is a tangent vector to the ui curve where known in general orthogonal coordinates systems, assume ui different casts in different systems. In certain instances, one the other two coordinates variables remain constant. A unit needs to custom-make a coordinates system that my turn out to be skew (i.e. not orthogonal). Of course, the known formulas for tangent vector in this direction, therefore, is the divergence and curl operators in orthogonal coordinates are not useful in such cases, and one needs to derive their rr counterparts in skew systems. In this note, we derive two uuii r formulas for the divergence and curl operators in a general ei or hiei (3) coordinates system, whether orthogonal or not. These formulas r hi ui generalize the well known and widely used relations for ui orthogonal coordinates systems. In the process, we define an orthogonality indicator whose value ranges between zero and unity. The Divergence of a vector field over a control volume V bounded by the surface S , denoted by F , is defined by Index Terms—Coordinates systems, curl, divergence, Laplace, skew systems. F n dS F lim S (4) I. -
Curriculum Guide
NATIONAL TECHNICAL UNIVERSITY OF ATHENS SCHOOL OF CIVIL ENGINEERING CURRICULUM GUIDE ATHENS 2008 - 09 SCHOOL OF CIVIL ENGINEERING Iroon Polytechneiou 9, Polytechneioupoli Zografou, 157 80 Greece tel. 210-772 3468, 210-772 3451, 210-772 3454, fax 210-772 3452 NATIONAL TECHNICAL UNIVERSITY OF ATHENS web site http://www.ntua.gr SCHOOL OF CIVIL ENGINEERING web site http://www.civil.ntua.gr E-mail: [email protected] Publisher: G. Karagiozopoulos - Ν. Ganis Publishing Unit National Technical University of Athens Iroon Polytechneiou 9, 157 80 Greece τηλ. 210- 7721561, 210-7721562, fax 210-7721011 Cover: A reproduction of the original artistic design of the Civil Engineering School title by the famous Greek artist N. Hadjikyriakos- Ghikas. 2 TABLE OF CONTENTS FORWARD ______________________________________________________ 5 1. A SHORT HISTORY OF NATIONAL TECHNICAL UNIVERSITY OF ATHENS __________________________________________________ 7 1.1. Foundation (1837) _______________________________________________ 7 1.2. Early Performs__________________________________________________ 7 1.3. Installation (1871) to the Historical “Polytechnion”____________________ 7 1.4. Towards Today’s Structure and Organisation ________________________ 8 2. A SHORT HISTORY OF THE SCHOOL OF CIVIL ENGINEERING11 2.1. Early period (1887-1890)_________________________________________ 11 2.2. Reorganization of the School (1890-1917) ___________________________ 12 2.3. Establishment of the Higher School of Civil Engineering (1917-1977)____ 12 2.4. Integrated development (1977-1982) _______________________________ 13 2.5. Recent period (1982 and after) ____________________________________ 13 3. SCHOOL STRUCTURE_____________________________________ 15 3.1. Department of Structural Engineering _____________________________ 16 3.2. Department of Water Resources and Environmental Engineering_______ 19 3.3. Department of Transportation Planning and Engineering _____________ 21 3.4. Department of Geotechnical Engineering ___________________________ 22 3.5. -
Matrix Tensor Notation Part II. Skew and Curved Coordinates
Computers Math. Applic. Vol. 29, No. 11, pp. 1-103, 1995 Pergamon Copyright(~)1995 Elsevier Science Ltd Printed in Great Britain. All rights reserved 0898-1221/95 $9.50 + 0.00 0898-1221(95)00050-X Matrix Tensor Notation Part II. Skew and Curved Coordinates W. C. HASSENPFLUG Department of Mechanical Engineering, University of Stellenbosch Stellenbosch, 7600 South Africa (Received May 1994; accepted June 1994) Abstract--In Part I, a notation called Matrix-Tensor Notation was introduced for rectilinear orthogonal coordinates. Part II discusses how the same notation is equally efficient for vectors and 2 nd order tensors in skew bases and skew curved coordinates. Without considering coordinates first, vectors and 2 nd order tensors are described in skew bases, covariant and contravariant descriptions being distinguished similar to tensor notation. A consistent interpretation of deformation and strain in terms of skew bases is given. The use of the transpose symbol complicates the matrix algebra, but integrates it with tensor algebra which makes it possible to interpret customary tensor equations as relations in space with all the advantages that an isomorphism with Euclidean space has. It is demonstrated how different metrics can be assigned arbitrarily to define higher-dimensional orthogonal vectors in abstract higher- dimensional space. A consistent notation is given to distinguish between subspace and subbase. To write higher order tensors as matrices, or 2 nd order tensors as vectors, partial transpose is introduced, which is a formal stretching operation to write any higher order tensor product operation as matrix-vector product. The description of the variable bases in generally curved coordinates is given in this notation, together with the corresponding notation for the partial differentiation rules. -
Copyright C 2021 by Robert G. Littlejohn Physics 221A Academic
Copyright c 2021 by Robert G. Littlejohn Physics 221A Academic Year 2021–22 Appendix E Introduction to Tensor Analysis† 1. Introduction These notes contain an introduction to tensor analysis as it is commonly used in physics, but mostly limited to the needs of this course. The presentation is based on how various quantities trans- form under coordinate transformations, and is fairly standard. It is also somewhat old-fashioned, but it has the advantage of at least creating a mental image of how measurements are actually made in physics. It also provides a good background if one wishes to learn more about the more modern and more abstract approaches to tensors. Quantities of physical interest are often expressed in terms of tensors. When physical laws are expressed in this manner, they often become covariant, that is, they have the same form in all coordinate systems. For example, we may say that an equation is or is not covariant. In tensor analysis the word “covariant” is also used in a different sense, to characterize a type of vector or an index on a tensor, as explained below. Covariant equations are preferred for the formulations of fundamental physical laws, because the form-invariance implies a separation between the objective reality (the invariant form of the equations) and the constructions introduced by the observer to make measurements (the coordinate system). 2. Spaces and Coordinates In these notes we will be mainly concerned with two spaces: ordinary, three-dimensional, physi- cal space, and four-dimensional space-time. We usually think of physical space as a Euclidean space extending to infinity in all directions, and model it mathematically as R3 with a Euclidean metric. -
39Th Solid Mechanics Conference Book of Abstracts ACKNOWLEDGMENTS for SUPPORT to INSTITUTEOFFUNDAMENTALTECHNOLOGICALRESEARCH POLISHACADEMYOFSCIENCES
39th Solid Mechanics Conference Book of Abstracts ACKNOWLEDGMENTS FOR SUPPORT TO INSTITUTE OF FUNDAMENTAL TECHNOLOGICAL RESEARCH POLISHACADEMYOFSCIENCES 39th Solid Mechanics Conference Book of Abstracts Editor: Zbigniew L. Kowalewski Coeditors: Zbigniew Ranachowski Jacek Widłaszewski WARSZAWA – ZAKOPANE 2014 © Copyright by Institute of Fundamental Technological Research PAN Warszawa 2014 ISBN 978-83-89687-89-0 The selection and presentation of material and the opinion expressed in this publication are the sole responsibility of the authors concerned. No responsibility is assumed by the Publishers for any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any use or operation of any method, products, instructions or ideas contained in the material herein. Technical editor: Joanna Żychowicz-Pokulniewicz Produced by: Institute of Fundamental Technological Research PAN 02-106 Warszawa, ul. Pawińskiego 5B www.ippt.pan.pl Drukarnia Braci Grodzickich Sp.J. 05-500 Piaseczno, ul. Geodetów 47A www.dbg.com.pl 39th Solid Mechanics Conference Zakopane, Poland, September 1–5, 2014 Preface There is a long tradition to organize Solid Mechanics Conferences in different locations of Poland to cover all areas of active research in mechanics of materials and structures including interactive fields. Initially the series of Polish Solid Mechanics Conferences have been organized by the Institute of Fundamental Technological Research of the Polish Academy of Sciences since 1953, when the first conference was held in Karpacz, located on the south of Poland. At the beginning, these conferences had mainly national character and concentrated mostly on problems of elasticity, plasticity and structural mechanics. Later on, they became international conferences with con- siderable participation of scientists from Poland as well as from foreign countries and with much wider scope covering most important and actual aspects of solid mechanics. -
ROTATION CALCULATION in TOKAMAK PLASMA a Dissertation
ROTATION CALCULATION IN TOKAMAK PLASMA A Dissertation Presented to The Academic Faculty By Richard Wendell King III In Partial Fulfillment of the Requirements for the Degree Master of Science in the Nuclear and Radiological EngineeringProgram Georgia Institute of Technology May 2019 Copyright © Richard Wendell King III 2019 ROTATION CALCULATION IN TOKAMAK PLASMA Approved by: Dr. Weston M. Stacey Jr., Advisor School of Nuclear and Radiological Engineering Georgia Institute of Technology Dr. Bojan Petrovic School of Nuclear and Radiological Engineering Georgia Institute of Technology Dr. John McCuan School of Applied Mathematics Georgia Institute of Technology Date Approved: April 18, 2019 To my parents, Reita Mathews King and Dr. Richard Wendell King Jr., without whose support, I would have been unable to accomplish this goal. ACKNOWLEDGEMENTS I would like to thank Dr. Stacey for his numerous contributions and guidance through- out the course of this project. His contributions are so substantive that they never could really be enumerated. I would also like to thank the committee for their willingness and enthusiasm. Furthermore, this project would have been litter ally impossible to accomplish without the hours upon hours of guidance and instruction I received from Tim Collart. This was supererogatory behavior on Tim’s part, having already graduated and having a newborn. Learning is an integral part of graduate school, as such there are a few instructors which I have not already thanked I would like to thank by name now. I thank Dr. Rahnema for teaching me transport, without which I would have a much shallower understanding of nuclear reactors. I thank Dr. -
Affine Transformation
Affine transformation From Wikipedia, the free encyclopedia Contents 1 2 × 2 real matrices 1 1.1 Profile ................................................. 1 1.2 Equi-areal mapping .......................................... 2 1.3 Functions of 2 × 2 real matrices .................................... 2 1.4 2 × 2 real matrices as complex numbers ............................... 3 1.5 References ............................................... 4 2 3D projection 5 2.1 Orthographic projection ........................................ 5 2.2 Weak perspective projection ..................................... 5 2.3 Perspective projection ......................................... 6 2.4 Diagram ................................................ 8 2.5 See also ................................................ 8 2.6 References ............................................... 9 2.7 External links ............................................. 9 2.8 Further reading ............................................ 9 3 Affine coordinate system 10 3.1 See also ................................................ 10 4 Affine geometry 11 4.1 History ................................................. 12 4.2 Systems of axioms ........................................... 12 4.2.1 Pappus’ law .......................................... 12 4.2.2 Ordered structure ....................................... 13 4.2.3 Ternary rings ......................................... 13 4.3 Affine transformations ......................................... 14 4.4 Affine space ............................................. -
Diagramatic Approach to Solve Least-Squares Adjustment and Collocation Problems
DIAGRAMATIC APPROACH TO SOLVE LEAST-SQUARES ADJUSTMENT AND COLLOCATION PROBLEMS M. MOHAMMAD-KARIM September 1981 TECHNICAL REPORT NO. 83 PREFACE In order to make our extensive series of technical reports more readily available, we have scanned the old master copies and produced electronic versions in Portable Document Format. The quality of the images varies depending on the quality of the originals. The images have not been converted to searchable text. DIAGRAMATIC APPROACH TO SOLVE LEAST-SQUARES ADJUSTMENT AND COLLOCATION PROBLEMS ~.~oharnrnad-~ Department of Geodesy and Geomatics Engineering University of New Brunswick P.O. Box 4400 Fredericton, N .B. Canada E3B 5A3 September 1981 Latest Reprinting October 1995 ABSTRACT The standard method of obtaining the sol~tion to the least squares adjustment problems lacks objectivity and can not readily be interpreted geometrically. Thus far, one approach has been made to interpret the adjustment solution geometrically, using Hilbert space technique. This thesis is still another effort in this respect; it illustrates the important advantage of considering the parallelism between the concept of a metric tensor and a covariance matrix. By splitting the linear mathematical models in the least-squares adjust ment (parametric, conditional and combined models) into dual covariant and contravariant spaces, this method produces diagrams for the least squares adjustment and collocation, from which the necessary equations may be obtained. Theories and equations from functional analysis and tensor calculus, necessary for the analysis of this approach, are described. Also the standard method used in the least-squares adjustment and the least-squares collocation are reviewed. In addition, the geometrical interpretation of a singular weight matrix is presented. -
Tensor Analysis†
Copyright c 2020 by Robert G. Littlejohn Physics 221A Fall 2020 Appendix E Introduction to Tensor Analysis† 1. Introduction These notes contain an introduction to tensor analysis as it is commonly used in physics, but mostly limited to the needs of this course. The presentation is based on how various quantities trans- form under coordinate transformations, and is fairly standard. It is also somewhat old-fashioned, but it has the advantage of at least creating a mental image of how measurements are actually made in physics. It also provides a good background if one wishes to learn more about the more modern and more abstract approaches to tensors. Quantities of physical interest are often expressed in terms of tensors. When physical laws are expressed in this manner, they often become covariant, that is, they have the same form in all coordinate systems. For example, we may say that an equation is or is not covariant. In tensor analysis the word “covariant” is also used in a different sense, to characterize a type of vector or an index on a tensor, as explained below. Covariant equations are preferred for the formulations of fundamental physical laws, because the form-invariance implies a separation between the objective reality (the invariant form of the equations) and the constructions introduced by the observer to make measurements (the coordinate system). 2. Spaces and Coordinates In these notes we will be mainly concerned with two spaces: ordinary, three-dimensional, physi- cal space, and four-dimensional space-time. We usually think of physical space as a Euclidean space extending to infinity in all directions, and model it mathematically as R3 with a Euclidean metric.