where index notation is the shorthand for dealing with tensors and vectors; a variable with a single subscript is a vector a = a i

Similar documents
State of Stress at Point

Mechanical Properties - Stresses & Strains

Elasticity Theory Basics

1 of 79 Erik Eberhardt UBC Geological Engineering EOSC 433

Unit 3 (Review of) Language of Stress/Strain Analysis

Adding vectors We can do arithmetic with vectors. We ll start with vector addition and related operations. Suppose you have two vectors

A Primer on Index Notation

[1] Diagonal factorization

Scalars, Vectors and Tensors

Introduction to Seismology Spring 2008

Unit 6 Plane Stress and Plane Strain

x = + x 2 + x

When the fluid velocity is zero, called the hydrostatic condition, the pressure variation is due only to the weight of the fluid.

Figure 1.1 Vector A and Vector F

5.04 Principles of Inorganic Chemistry II

9.4. The Scalar Product. Introduction. Prerequisites. Learning Style. Learning Outcomes

Finite Element Formulation for Plates - Handout 3 -

3 Concepts of Stress Analysis

Plates and Shells: Theory and Computation - 4D9 - Dr Fehmi Cirak (fc286@) Office: Inglis building mezzanine level (INO 31)

9 MATRICES AND TRANSFORMATIONS

DATA ANALYSIS II. Matrix Algorithms

Analysis of Stresses and Strains

EDEXCEL NATIONAL CERTIFICATE/DIPLOMA MECHANICAL PRINCIPLES AND APPLICATIONS NQF LEVEL 3 OUTCOME 1 - LOADING SYSTEMS

The Matrix Elements of a 3 3 Orthogonal Matrix Revisited

The elements used in commercial codes can be classified in two basic categories:

Lap Fillet Weld Calculations and FEA Techniques

Differential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation

Plane Stress Transformations

Høgskolen i Narvik Sivilingeniørutdanningen

Notes on Orthogonal and Symmetric Matrices MENU, Winter 2013

Stress Analysis, Strain Analysis, and Shearing of Soils

Objectives. Experimentally determine the yield strength, tensile strength, and modules of elasticity and ductility of given materials.

MATH 304 Linear Algebra Lecture 9: Subspaces of vector spaces (continued). Span. Spanning set.

Introduction to Matrix Algebra

α = u v. In other words, Orthogonal Projection

Similar matrices and Jordan form

Feature Commercial codes In-house codes

1 The basic equations of fluid dynamics

Eigenvalues, Eigenvectors, Matrix Factoring, and Principal Components

Chapter 6. Orthogonality

Analysis of Stress CHAPTER INTRODUCTION

Elastic Wave Propagation

CBE 6333, R. Levicky 1. Tensor Notation.

LS.6 Solution Matrices

Shear Center in Thin-Walled Beams Lab

Question 2: How do you solve a matrix equation using the matrix inverse?

Data Mining: Algorithms and Applications Matrix Math Review

Linear Algebra Review. Vectors

Plate waves in phononic crystals slabs

ES240 Solid Mechanics Fall Stress field and momentum balance. Imagine the three-dimensional body again. At time t, the material particle ( x, y,

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS

Review Jeopardy. Blue vs. Orange. Review Jeopardy

The Basics of FEA Procedure

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 2. x n. a 11 a 12 a 1n b 1 a 21 a 22 a 2n b 2 a 31 a 32 a 3n b 3. a m1 a m2 a mn b m

Introduction to Solid Modeling Using SolidWorks 2012 SolidWorks Simulation Tutorial Page 1

is in plane V. However, it may be more convenient to introduce a plane coordinate system in V.

Vector and Tensor Algebra (including Column and Matrix Notation)

13 MATH FACTS a = The elements of a vector have a graphical interpretation, which is particularly easy to see in two or three dimensions.

Lecture L26-3D Rigid Body Dynamics: The Inertia Tensor

Inner Product Spaces and Orthogonality

Linear algebra and the geometry of quadratic equations. Similarity transformations and orthogonal matrices

8.2 Elastic Strain Energy

STATISTICS AND DATA ANALYSIS IN GEOLOGY, 3rd ed. Clarificationof zonationprocedure described onpp

by the matrix A results in a vector which is a reflection of the given

Advanced Structural Analysis. Prof. Devdas Menon. Department of Civil Engineering. Indian Institute of Technology, Madras. Module

Linear Algebra: Vectors

Vector Calculus: a quick review

Rotation Matrices and Homogeneous Transformations

Vector and Matrix Norms

Similarity and Diagonalization. Similar Matrices

MCE380: Measurements and Instrumentation Lab. Chapter 9: Force, Torque and Strain Measurements

MATH 304 Linear Algebra Lecture 20: Inner product spaces. Orthogonal sets.

4.3 Results Drained Conditions Undrained Conditions References Data Files Undrained Analysis of

Chapter 11 Equilibrium

Problem Set 1 Solutions to ME problems Fall 2013

MATH APPLIED MATRIX THEORY

Stress-Strain Material Laws

Technology of EHIS (stamping) applied to the automotive parts production

3. Let A and B be two n n orthogonal matrices. Then prove that AB and BA are both orthogonal matrices. Prove a similar result for unitary matrices.

Inner products on R n, and more

CONTROLLABILITY. Chapter Reachable Set and Controllability. Suppose we have a linear system described by the state equation

The Singular Value Decomposition in Symmetric (Löwdin) Orthogonalization and Data Compression

1 Introduction to Matrices

Brief Review of Tensors

521493S Computer Graphics. Exercise 2 & course schedule change

6. Vectors Scott Surgent (surgent@asu.edu)

The Matrix Stiffness Method for 2D Trusses

October 3rd, Linear Algebra & Properties of the Covariance Matrix

Unified Lecture # 4 Vectors

Chapter 7: Polarization

Finite Element Formulation for Beams - Handout 2 -

Math 265 (Butler) Practice Midterm II B (Solutions)

Lecture 12: Fundamental Concepts in Structural Plasticity

STRESS AND DEFORMATION ANALYSIS OF LINEAR ELASTIC BARS IN TENSION

SF2940: Probability theory Lecture 8: Multivariate Normal Distribution

SF2940: Probability theory Lecture 8: Multivariate Normal Distribution

CBE 6333, R. Levicky 1 Differential Balance Equations

R&DE (Engineers), DRDO. Theories of Failure. Ramadas Chennamsetti

Notes on Determinant

Transcription:

1 Brief Review of Elasticity (Copyright 2009, David T Sandwell) This is a very brief review of the elasticity theory needed to understand the principles of stress, strain, and flexure in Geodynamics [Turcotte and Schubert, 2002] This review assumes that you have already taken a class in continuum mechanics One difference from T&S is that we follow the sign convention used by seismologists and engineers where extensional strain and stress is positive Stress Stress is a force acting on an area is measured in Newtons per meter squared (N m 2 ) which corresponds to a Pascal unit (Pa) The following diagram shows a cube of solid material Each face of the cube has three components of stress so there are 9 possible components of the stress tensor We will consider only the symmetric part of the stress tensor so only 6 of these components are independent The antisymmetric part of the tensor represents a torque In Cartesian coordinates the stress tensor is given by σ xx σ ij = σ zz where index notation is the shorthand for dealing with tensors and vectors; a variable with a single subscript is a vector a = a i, a variable with two subscripts is a tensor σ = σ ij, and a repeated index indicates summation over the spatial coordinates For example the pressure is given by P = σ ii / 3 In addition, a comma preceding a subscript means differentiation with respect to that variable a = a i, j or for example a x,y = a x y

2 Strain Strain is change in length over the original length so it is a dimensionless variable and we will assume strains are small (<< 10-3 ) Let the displacement vector field inside of a solid body be given by u = u i = [ u x u y u z ] The gradient of this vector is a tensor u = u i, j This tensor is commonly decomposed into a symmetric tensor (strain) and an antisymmetric tensor (rotation) u i, j = 1 u i + u j 2 x j x i + 1 u i u j 2 x j x i We will not consider the rotation tensor further but the strain tensor is given by ε ij 2 u i, j + u j,i ) Stress vs strain If one assumes the material has an isotropic and linear response then the relationship between stress and strain is given by σ ij = λδ ij ε kk + 2µε ij where δ ij is equal to 0 except when i=j and then it is equal to 1 The Lame constants λ and µ define the elastic properties The shear modulus µ (or G in the engineering literature) relates the shear stress to shear strain on a component by component basis = 2µε xy = µ u x y + u y x Invariants and principal stress This general relation between stress and strain tensors is rather involved and it is difficult to invert this relationship to develop a relationship between strain and stress One means of simplifying this relationship is to find a co-ordinate system rotation that will cause the stress and strain tensors to be diagonal Let R be a rotation matrix such that R t R = I is the identity matrix There are three properties (invariants) of the stress tensor that do not change under co-ordinate rotation The invariants are found by first developing the characteristic equation from the determinant of the following equation

3 σ xx γ γ γ = 0 which becomes γ 3 Iγ 2 + IIγ III = 0 where the stress invariants are I = σ ii II 2 σ iiσ jj σ ij σ ij ) = σ xx + + σ xx σ 2 xy σ 2 2 yz III = σ ij the trace I, the sum of minors II, and the determinant of the stress tensor III The first invariant is related to the mean normal stress or pressure P = σ ii / 3 The second invariant is related to shear stress and thus is commonly used as the Von Mises failure criteria We will not consider the third invariant further Real symmetric matrices have real eigenvalues, orthogonal eigenvectors, and can be diagonalized This implies that there always exists some principal coordinate system where the the shear stresses are zero on planes orthogonal to the coordinate axes and where the normal stresses act along the principal axes directions (the eigenvectors) form the rotation matrix R The eigenvalues form the principal stress tensor σ p = 0 0 0 σ 2 0 0 0 σ 3 = R t σr where σ 2 σ 3 The principal stress system is important in geophysics and geology Due to the presence of the free surface, the stress field close to the Earth's surface is expected to have one principal stress vertical and hence two horizontal principal stresses Also in the earth we sometimes subtract the pressure from the stress tensor In this case it is called deviatoric stress In the principal stress system the pressure and maximum shear stress are given by

4 P = 1 ( 3 σ + σ + 2 3) τ 2 σ 3) Principal stress and strain The stress versus strain relation is far simpler in the principal co-ordinate system σ 2 σ 3 = λ + 2µ λ λ λ λ + 2µ λ λ λ λ + 2µ ε 2 ε 3 where, ε 2, and ε 3 are the principal strains Next we can use this relationship to develop three important parameters, Poisson s ratio ν, Young s modulus E, and bulk modulus K First consider the case of uniaxial stress where σ 2 = σ 3 = 0 This represents application of an end load to an elastic beam fastened to a wall The second equation for σ 2 is 0 = λ + ( λ + 2µ )ε 2 + λε 3 Because of symmetry we know ε 2 = ε 3 so we arrive at a relationship between ε 2 and ε 2 = λ 2( λ + µ ) ε = ν 1 where ν is Poisson s ratio Next we can use this relationship between strains in the first equation to provide a relationship between and = ( λ + 2µ ) + λ 2 λ + µ ( )( λ + µ ) λ 2 = λ + 2µ λ + µ ( ) λ + µ µ 3λ + 2µ = = E

5 where E is Young s modulus ( ) / 3 is related to a change in volume ΔV = ( + ε 2 + ε 3 ) Using the stress- Next we consider the case of uniform pressure ΔP = + σ 2 + σ 3 strain relation we find In this case, the change in pressure ΔP = λ + 2 3 µ ΔV ΔP = KΔV where K is the bulk modulus One can invert this stress vs strain relationship to obtain a strain vs stress relationship We ll also assume that the principal co-ordinates are aligned with the x-, y-, and z- axes ε xx ε yy ε zz = 1 E 1 ν ν ν 1 ν ν ν 1 σ xx Now we have arrived at equations 3-4, 3-5, and 3-6 in T&S Before moving onto the flexure problem we consider the case of a thin elastic plate Thin plate means that there are no variations in the vertical displacement field as a function of depth in the plate so we can make the approximation = 0 Under this approximation we have the following ε xx E σ vσ xx yy ) ε yy E σ v xx ) ε zz = ν E ( σ + σ xx yy )