Fundamentals of Strength of Materials
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Static Analysis of Isotropic, Orthotropic and Functionally Graded Material Beams
Journal of Multidisciplinary Engineering Science and Technology (JMEST) ISSN: 2458-9403 Vol. 3 Issue 5, May - 2016 Static analysis of isotropic, orthotropic and functionally graded material beams Waleed M. Soliman M. Adnan Elshafei M. A. Kamel Dep. of Aeronautical Engineering Dep. of Aeronautical Engineering Dep. of Aeronautical Engineering Military Technical College Military Technical College Military Technical College Cairo, Egypt Cairo, Egypt Cairo, Egypt [email protected] [email protected] [email protected] Abstract—This paper presents static analysis of degrees of freedom for each lamina, and it can be isotropic, orthotropic and Functionally Graded used for long and short beams, this laminated finite Materials (FGMs) beams using a Finite Element element model gives good results for both stresses and deflections when compared with other solutions. Method (FEM). Ansys Workbench15 has been used to build up several models to simulate In 1993 Lidstrom [2] have used the total potential different types of beams with different boundary energy formulation to analyze equilibrium for a conditions, all beams have been subjected to both moderate deflection 3-D beam element, the condensed two-node element reduced the size of the of uniformly distributed and transversal point problem, compared with the three-node element, but loads within the experience of Timoshenko Beam increased the computing time. The condensed two- Theory and First order Shear Deformation Theory. node system was less numerically stable than the The material properties are assumed to be three-node system. Because of this fact, it was not temperature-independent, and are graded in the possible to evaluate the third and fourth-order thickness direction according to a simple power differentials of the strain energy function, and thus not law distribution of the volume fractions of the possible to determine the types of criticality constituents. -
Constitutive Relations: Transverse Isotropy and Isotropy
Objectives_template Module 3: 3D Constitutive Equations Lecture 11: Constitutive Relations: Transverse Isotropy and Isotropy The Lecture Contains: Transverse Isotropy Isotropic Bodies Homework References file:///D|/Web%20Course%20(Ganesh%20Rana)/Dr.%20Mohite/CompositeMaterials/lecture11/11_1.htm[8/18/2014 12:10:09 PM] Objectives_template Module 3: 3D Constitutive Equations Lecture 11: Constitutive relations: Transverse isotropy and isotropy Transverse Isotropy: Introduction: In this lecture, we are going to see some more simplifications of constitutive equation and develop the relation for isotropic materials. First we will see the development of transverse isotropy and then we will reduce from it to isotropy. First Approach: Invariance Approach This is obtained from an orthotropic material. Here, we develop the constitutive relation for a material with transverse isotropy in x2-x3 plane (this is used in lamina/laminae/laminate modeling). This is obtained with the following form of the change of axes. (3.30) Now, we have Figure 3.6: State of stress (a) in x1, x2, x3 system (b) with x1-x2 and x1-x3 planes of symmetry From this, the strains in transformed coordinate system are given as: file:///D|/Web%20Course%20(Ganesh%20Rana)/Dr.%20Mohite/CompositeMaterials/lecture11/11_2.htm[8/18/2014 12:10:09 PM] Objectives_template (3.31) Here, it is to be noted that the shear strains are the tensorial shear strain terms. For any angle α, (3.32) and therefore, W must reduce to the form (3.33) Then, for W to be invariant we must have Now, let us write the left hand side of the above equation using the matrix as given in Equation (3.26) and engineering shear strains. -
Orthotropic Material Homogenization of Composite Materials Including Damping
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Lirias Orthotropic material homogenization of composite materials including damping A. Nateghia,e, A. Rezaeia,e,, E. Deckersa,d, S. Jonckheerea,b,d, C. Claeysa,d, B. Pluymersa,d, W. Van Paepegemc, W. Desmeta,d a KU Leuven, Department of Mechanical Engineering, Celestijnenlaan 300B box 2420, 3001 Heverlee, Belgium. E-mail: [email protected]. b Siemens Industry Software NV, Digital Factory, Product Lifecycle Management – Simulation and Test Solutions, Interleuvenlaan 68, B-3001 Leuven, Belgium. c Ghent University, Department of Materials Science & Engineering, Technologiepark-Zwijnaarde 903, 9052 Zwijnaarde, Belgium. d Member of Flanders Make. e SIM vzw, Technologiepark Zwijnaarde 935, B-9052 Ghent, Belgium. Introduction In the multiscale analysis of composite materials obtaining the effective equivalent material properties of the composite from the properties of its constituents is an important bridge between different scales. Although, a variety of homogenization methods are already in use, there is still a need for further development of novel approaches which can deal with complexities such as frequency dependency of material properties; which is specially of importance when dealing with damped structures. Time-domain methods Frequency-domain method Material homogenization is performed in two separate steps: Wave dispersion based homogenization is performed to a static step and a dynamic one. provide homogenized damping and material -
Multivector Differentiation and Linear Algebra 0.5Cm 17Th Santaló
Multivector differentiation and Linear Algebra 17th Santalo´ Summer School 2016, Santander Joan Lasenby Signal Processing Group, Engineering Department, Cambridge, UK and Trinity College Cambridge [email protected], www-sigproc.eng.cam.ac.uk/ s jl 23 August 2016 1 / 78 Examples of differentiation wrt multivectors. Linear Algebra: matrices and tensors as linear functions mapping between elements of the algebra. Functional Differentiation: very briefly... Summary Overview The Multivector Derivative. 2 / 78 Linear Algebra: matrices and tensors as linear functions mapping between elements of the algebra. Functional Differentiation: very briefly... Summary Overview The Multivector Derivative. Examples of differentiation wrt multivectors. 3 / 78 Functional Differentiation: very briefly... Summary Overview The Multivector Derivative. Examples of differentiation wrt multivectors. Linear Algebra: matrices and tensors as linear functions mapping between elements of the algebra. 4 / 78 Summary Overview The Multivector Derivative. Examples of differentiation wrt multivectors. Linear Algebra: matrices and tensors as linear functions mapping between elements of the algebra. Functional Differentiation: very briefly... 5 / 78 Overview The Multivector Derivative. Examples of differentiation wrt multivectors. Linear Algebra: matrices and tensors as linear functions mapping between elements of the algebra. Functional Differentiation: very briefly... Summary 6 / 78 We now want to generalise this idea to enable us to find the derivative of F(X), in the A ‘direction’ – where X is a general mixed grade multivector (so F(X) is a general multivector valued function of X). Let us use ∗ to denote taking the scalar part, ie P ∗ Q ≡ hPQi. Then, provided A has same grades as X, it makes sense to define: F(X + tA) − F(X) A ∗ ¶XF(X) = lim t!0 t The Multivector Derivative Recall our definition of the directional derivative in the a direction F(x + ea) − F(x) a·r F(x) = lim e!0 e 7 / 78 Let us use ∗ to denote taking the scalar part, ie P ∗ Q ≡ hPQi. -
Appendix A: Matrices and Tensors
Appendix A: Matrices and Tensors A.1 Introduction and Rationale The purpose of this appendix is to present the notation and most of the mathematical techniques that will be used in the body of the text. The audience is assumed to have been through several years of college level mathematics that included the differential and integral calculus, differential equations, functions of several variables, partial derivatives, and an introduction to linear algebra. Matrices are reviewed briefly and determinants, vectors, and tensors of order two are described. The application of this linear algebra to material that appears in undergraduate engineering courses on mechanics is illustrated by discussions of concepts like the area and mass moments of inertia, Mohr’s circles and the vector cross and triple scalar products. The solutions to ordinary differential equations are reviewed in the last two sections. The notation, as far as possible, will be a matrix notation that is easily entered into existing symbolic computational programs like Maple, Mathematica, Matlab, and Mathcad etc. The desire to represent the components of three-dimensional fourth order tensors that appear in anisotropic elasticity as the components of six-dimensional second order tensors and thus represent these components in matrices of tensor components in six dimensions leads to the nontraditional part of this appendix. This is also one of the nontraditional aspects in the text of the book, but a minor one. This is described in Sect. A.11, along with the rationale for this approach. A.2 Definition of Square, Column, and Row Matrices An r by c matrix M is a rectangular array of numbers consisting of r rows and c columns, S.C. -
Analysis of Deformation
Chapter 7: Constitutive Equations Definition: In the previous chapters we’ve learned about the definition and meaning of the concepts of stress and strain. One is an objective measure of load and the other is an objective measure of deformation. In fluids, one talks about the rate-of-deformation as opposed to simply strain (i.e. deformation alone or by itself). We all know though that deformation is caused by loads (i.e. there must be a relationship between stress and strain). A relationship between stress and strain (or rate-of-deformation tensor) is simply called a “constitutive equation”. Below we will describe how such equations are formulated. Constitutive equations between stress and strain are normally written based on phenomenological (i.e. experimental) observations and some assumption(s) on the physical behavior or response of a material to loading. Such equations can and should always be tested against experimental observations. Although there is almost an infinite amount of different materials, leading one to conclude that there is an equivalently infinite amount of constitutive equations or relations that describe such materials behavior, it turns out that there are really three major equations that cover the behavior of a wide range of materials of applied interest. One equation describes stress and small strain in solids and called “Hooke’s law”. The other two equations describe the behavior of fluidic materials. Hookean Elastic Solid: We will start explaining these equations by considering Hooke’s law first. Hooke’s law simply states that the stress tensor is assumed to be linearly related to the strain tensor. -
A Some Basic Rules of Tensor Calculus
A Some Basic Rules of Tensor Calculus The tensor calculus is a powerful tool for the description of the fundamentals in con- tinuum mechanics and the derivation of the governing equations for applied prob- lems. In general, there are two possibilities for the representation of the tensors and the tensorial equations: – the direct (symbolic) notation and – the index (component) notation The direct notation operates with scalars, vectors and tensors as physical objects defined in the three dimensional space. A vector (first rank tensor) a is considered as a directed line segment rather than a triple of numbers (coordinates). A second rank tensor A is any finite sum of ordered vector pairs A = a b + ... +c d. The scalars, vectors and tensors are handled as invariant (independent⊗ from the choice⊗ of the coordinate system) objects. This is the reason for the use of the direct notation in the modern literature of mechanics and rheology, e.g. [29, 32, 49, 123, 131, 199, 246, 313, 334] among others. The index notation deals with components or coordinates of vectors and tensors. For a selected basis, e.g. gi, i = 1, 2, 3 one can write a = aig , A = aibj + ... + cidj g g i i ⊗ j Here the Einstein’s summation convention is used: in one expression the twice re- peated indices are summed up from 1 to 3, e.g. 3 3 k k ik ik a gk ∑ a gk, A bk ∑ A bk ≡ k=1 ≡ k=1 In the above examples k is a so-called dummy index. Within the index notation the basic operations with tensors are defined with respect to their coordinates, e. -
Cauchy Tetrahedron Argument and the Proofs of the Existence of Stress Tensor, a Comprehensive Review, Challenges, and Improvements
CAUCHY TETRAHEDRON ARGUMENT AND THE PROOFS OF THE EXISTENCE OF STRESS TENSOR, A COMPREHENSIVE REVIEW, CHALLENGES, AND IMPROVEMENTS EHSAN AZADI1 Abstract. In 1822, Cauchy presented the idea of traction vector that contains both the normal and tangential components of the internal surface forces per unit area and gave the tetrahedron argument to prove the existence of stress tensor. These great achievements form the main part of the foundation of continuum mechanics. For about two centuries, some versions of tetrahedron argument and a few other proofs of the existence of stress tensor are presented in every text on continuum mechanics, fluid mechanics, and the relevant subjects. In this article, we show the birth, importance, and location of these Cauchy's achievements, then by presenting the formal tetrahedron argument in detail, for the first time, we extract some fundamental challenges. These conceptual challenges are related to the result of applying the conservation of linear momentum to any mass element, the order of magnitude of the surface and volume terms, the definition of traction vectors on the surfaces that pass through the same point, the approximate processes in the derivation of stress tensor, and some others. In a comprehensive review, we present the different tetrahedron arguments and the proofs of the existence of stress tensor, discuss the challenges in each one, and classify them in two general approaches. In the first approach that is followed in most texts, the traction vectors do not exactly define on the surfaces that pass through the same point, so most of the challenges hold. But in the second approach, the traction vectors are defined on the surfaces that pass exactly through the same point, therefore some of the relevant challenges are removed. -
Stress Components Cauchy Stress Tensor
Mechanics and Design Chapter 2. Stresses and Strains Byeng D. Youn System Health & Risk Management Laboratory Department of Mechanical & Aerospace Engineering Seoul National University Seoul National University CONTENTS 1 Traction or Stress Vector 2 Coordinate Transformation of Stress Tensors 3 Principal Axis 4 Example 2019/1/4 Seoul National University - 2 - Chapter 2 : Stresses and Strains Traction or Stress Vector; Stress Components Traction Vector Consider a surface element, ∆ S , of either the bounding surface of the body or the fictitious internal surface of the body as shown in Fig. 2.1. Assume that ∆ S contains the point. The traction vector, t, is defined by Δf t = lim (2-1) ∆→S0∆S Fig. 2.1 Definition of surface traction 2019/1/4 Seoul National University - 3 - Chapter 2 : Stresses and Strains Traction or Stress Vector; Stress Components Traction Vector (Continued) It is assumed that Δ f and ∆ S approach zero but the fraction, in general, approaches a finite limit. An even stronger hypothesis is made about the limit approached at Q by the surface force per unit area. First, consider several different surfaces passing through Q all having the same normal n at Q as shown in Fig. 2.2. Fig. 2.2 Traction vector t and vectors at Q Then the tractions on S , S ′ and S ′′ are the same. That is, the traction is independent of the surface chosen so long as they all have the same normal. 2019/1/4 Seoul National University - 4 - Chapter 2 : Stresses and Strains Traction or Stress Vector; Stress Components Stress vectors on three coordinate plane Let the traction vectors on planes perpendicular to the coordinate axes be t(1), t(2), and t(3) as shown in Fig. -
Schaum's Outlines Strength of Materials
Strength Of Materials This page intentionally left blank Strength Of Materials Fifth Edition William A. Nash, Ph.D. Former Professor of Civil Engineering University of Massachusetts Merle C. Potter, Ph.D. Professor Emeritus of Mechanical Engineering Michigan State University Schaum’s Outline Series New York Chicago San Francisco Lisbon London Madrid Mexico City Milan New Delhi San Juan Seoul Singapore Sydney Toronto Copyright © 2011, 1998, 1994, 1972 by The McGraw-Hill Companies, Inc. All rights reserved. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher. ISBN: 978-0-07-163507-3 MHID: 0-07-163507-6 The material in this eBook also appears in the print version of this title: ISBN: 978-0-07-163508-0, MHID: 0-07-163508-4. All trademarks are trademarks of their respective owners. Rather than put a trademark symbol after every occurrence of a trademarked name, we use names in an editorial fashion only, and to the benefi t of the trademark owner, with no intention of infringement of the trademark. Where such designations appear in this book, they have been printed with initial caps. McGraw-Hill eBooks are available at special quantity discounts to use as premiums and sales promotions, or for use in corporate training programs. To contact a representative please e-mail us at [email protected]. This publication is designed to provide accurate and authoritative information in regard to the subject matter covered. -
Appendix a Multilinear Algebra and Index Notation
Appendix A Multilinear algebra and index notation Contents A.1 Vector spaces . 164 A.2 Bases, indices and the summation convention 166 A.3 Dual spaces . 169 A.4 Inner products . 170 A.5 Direct sums . 174 A.6 Tensors and multilinear maps . 175 A.7 The tensor product . 179 A.8 Symmetric and exterior algebras . 182 A.9 Duality and the Hodge star . 188 A.10 Tensors on manifolds . 190 If linear algebra is the study of vector spaces and linear maps, then multilinear algebra is the study of tensor products and the natural gener- alizations of linear maps that arise from this construction. Such concepts are extremely useful in differential geometry but are essentially algebraic rather than geometric; we shall thus introduce them in this appendix us- ing only algebraic notions. We'll see finally in A.10 how to apply them to tangent spaces on manifolds and thus recoverx the usual formalism of tensor fields and differential forms. Along the way, we will explain the conventions of \upper" and \lower" index notation and the Einstein sum- mation convention, which are standard among physicists but less familiar in general to mathematicians. 163 164 APPENDIX A. MULTILINEAR ALGEBRA A.1 Vector spaces and linear maps We assume the reader is somewhat familiar with linear algebra, so at least most of this section should be review|its main purpose is to establish notation that is used in the rest of the notes, as well as to clarify the relationship between real and complex vector spaces. Throughout this appendix, let F denote either of the fields R or C; we will refer to elements of this field as scalars. -
Strength Versus Gravity
3 Strength versus gravity The existence of any differences of height on the Earth’s surface is decisive evidence that the internal stress is not hydrostatic. If the Earth was liquid any elevation would spread out horizontally until it disap- peared. The only departure of the surface from a spherical form would be the ellipticity; the outer surface would become a level surface, the ocean would cover it to a uniform depth, and that would be the end of us. The fact that we are here implies that the stress departs appreciably from being hydrostatic; … H. Jeffreys, Earthquakes and Mountains (1935) 3.1 Topography and stress Sir Harold Jeffreys (1891–1989), one of the leading geophysicists of the early twentieth century, was fascinated (one might almost say obsessed) with the strength necessary to support the observed topographic relief on the Earth and Moon. Through several books and numerous papers he made quantitative estimates of the strength of the Earth’s interior and compared the results of those estimates to the strength of common rocks. Jeffreys was not the only earth scientist who grasped the fundamental importance of rock strength. Almost ifty years before Jeffreys, American geologist G. K. Gilbert (1843–1918) wrote in a similar vein: If the Earth possessed no rigidity, its materials would arrange themselves in accordance with the laws of hydrostatic equilibrium. The matter speciically heaviest would assume the lowest position, and there would be a graduation upward to the matter speciically lightest, which would constitute the entire surface. The surface would be regularly ellipsoidal, and would be completely covered by the ocean.