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Tensor Algebra and Tensor Analysis for Engineers 2nd Revised edition [Kietas viršelis]

  • Formatas: Hardback, 264 pages, aukštis x plotis x storis: 234x156x15 mm, weight: 1210 g, 1, black & white illustrations
  • Išleidimo metai: 31-Mar-2009
  • Leidėjas: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540939067
  • ISBN-13: 9783540939061
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 264 pages, aukštis x plotis x storis: 234x156x15 mm, weight: 1210 g, 1, black & white illustrations
  • Išleidimo metai: 31-Mar-2009
  • Leidėjas: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540939067
  • ISBN-13: 9783540939061
Kitos knygos pagal šią temą:
Suitable for engineering students with some knowledge of matrix algebra, this book deals with modern developments in the theory of isotropic, an anisotropic tensor functions and their applications to continuum mechanics.

There is a gap between engineering courses in tensor algebra, and the treatment of linear transformations within classical linear algebra. This book addresses primarily engineering students with some initial knowledge of matrix algebra. Thereby, mathematical formalism is applied as absolutely necessary. The many exercises provided include solutions, enabling autonomous study. The last chapters address modern developments in the theory of isotropic and anisotropic tensor functions and their applications to continuum mechanics and might therefore interest PhD-students and scientists working in this area. In recent decades, the absolute notation for tensors has become widely accepted and is now state-of-the-art for publications in solid and structural mechanics. This is opposed to a majority of books on tensor calculus referring to index notation. The latter one complicates the understanding of the matter especially for readers with initial knowledge. This is a modern textbook on tensor calculus for engineers in line with contemporary scientific publications.

There is a large gap between the engineering course in tensor algebra on the one hand and the treatment of linear transformations within classical linear algebra on the other hand. The aim of the book is to bridge this gap by means of the consequent and fundamental exposition. The book is addressed primarily to engineering students with some initial knowledge of matrix algebra. Thereby the mathematical formalism is applied as far as it is absolutely necessary. Numerous exercises provided in the book are accompanied by solutions enabling an autonomous study. The last chapters of the book deal with modern developments in the theory of isotropic an anisotropic tensor functions and their applications to continuum mechanics and might therefore be of high interest for PhD-students and scientists working in this area. In the last decades, the absolute notation for tensors has become widely accepted and is now a current state of the art for publications in solid and structural mechanics. This is opposed to a majority of books on tensor calculus referring to index notation. The latter one complicates the understanding of the matter especially for readers with initial knowledge. Thus, this book aims at being a modern textbook on tensor calculus for engineers in line with the contemporary way of scientific publications.

Recenzijos

From the reviews: "Most books on continuum mechanics begin with a more or less lengthy introduction into this mere mathematical topic. ... With the present introduction to tensors, Itskov has filled this gap. ... It is written in a clear and modern style ... . contains a lot of interesting representations, which will be appreciated by researchers in the field. ... All in all, the book can be clearly recommended both for students and researchers in the field of continuum mechanics." (Technische Mechanik, Vol. 28 (3), 2008)

Vectors and Tensors in a Finite-Dimensional Space
1(34)
Notion of the Vector Space
1(2)
Basis and Dimension of the Vector Space
3(2)
Components of a Vector, Summation Convention
5(1)
Scalar Product, Euclidean Space, Orthonormal Basis
6(2)
Dual Bases
8(4)
Second-Order Tensor as a Linear Mapping
12(4)
Tensor Product, Representation of a Tensor with Respect to a Basis
16(3)
Change of the Basis, Transformation Rules
19(1)
Special Operations with Second-Order Tensors
20(6)
Scalar Product of Second-Order Tensors
26(1)
Decompositions of Second-Order Tensors
27(2)
Tensors of Higher Orders
29(6)
Exercises
30(5)
Vector and Tensor Analysis in Euclidean Space
35(24)
Vector-and Tensor-Valued Functions, Diffential Calculus
35(2)
Coordinates in Euclidean Space, Tangent Vectors
37(3)
Coordinates Transformation. Co-, Contra- and Mixed Variant Components
40(2)
Gradient, Covariant and Contravariant Derivatives
42(4)
Christoffel Symbols, Representation of the Covariant Derivative
46(3)
Applications in Three-Dimensional Space: Divergence and Curl
49(10)
Exercises
57(2)
Curves and Surfaces in Three-Dimensional Euclidean Space
59(22)
Curves in Three-Dimensional Euclidean Space
59(7)
Surfaces in Three-Dimensional Euclidean Space
66(7)
Application to Shell Theory
73(8)
Exercises
79(2)
Eigenvalue Problem and Spectral Decomposition of Second-Order Tensors
81(22)
Complexification
81(1)
Eigenvalue Problem, Eigenvalues and Eigenvectors
82(3)
Characteristic Polynomial
85(2)
Spectral Decomposition and Eigenprojections
87(5)
Spectral Decomposition of Symmetric Second-Order Tensors
92(2)
Spectral Decomposition of Orthogonal and Skew-Symmetric Second-Order Tensors
94(4)
Cayley-Hamilton Theorem
98(5)
Exercises
100(3)
Fourth-Order Tensors
103(12)
Fourth-Order Tensors as a Linear Mapping
103(1)
Tensor Products, Representation of Fourth-Order Tensors with Respect to a Basis
104(2)
Special Operations with Fourth-Order Tensors
106(3)
Super-Symmetric Fourth-Order Tensors
109(2)
Special Fourth-Order Tensors
111(4)
Exercises
114(1)
Analysis of Tensor Functions
115(30)
Scalar-Valued Isotropic Tensor Functions
115(4)
Scalar-Valued Anisotropic Tensor Functions
119(3)
Derivatives of Scalar-Valued Tensor Functions
122(7)
Tensor-Valued Isotropic and Anisotropic Tensor Functions
129(6)
Derivatives of Tensor-Valued Tensor Functions
135(5)
Generalized Rivlin's Identities
140(5)
Exercises
142(3)
Analytic Tensor Functions
145(20)
Introduction
145(4)
Closed-Form Representation for Analytic Tensor Functions and Their Derivatives
149(3)
Special Case: Diagonalizable Tensor Functions
152(2)
Special case: Three-Dimensional Space
154(7)
Recurrent Calculation of Tensor Power Series and Their Derivatives
161(4)
Exercises
163(2)
Applications to Continuum Mechanics
165(20)
Polar Decomposition of the Deformation Gradient
165(1)
Basis-Free Representations for the Stretch and Rotation Tensor
166(3)
The Derivative of the Stretch and Rotation Tensor with Respect to the Deformation Gradient
169(4)
Time Rate of Generalized Strains
173(2)
Stress Conjugate to a Generalized Strain
175(3)
Finite Plasticity Based on the Additive Decomposition of Generalized Strains
178(7)
Exercises
182(3)
Solutions 185(54)
References 239(4)
Index 243