Stress and Strain Tensors Deformation and Strain

Size: px
Start display at page:

Download "Stress and Strain Tensors Deformation and Strain"

Transcription

1 MCEN 503/ASEN 50 Chaptr 4 Strss and Stran Tnsors Dformaton and Stran Fall, 006

2 Dformaton and Stran Dsplacmnt & Dformaton Dsplacmnt: A vctor or th magntd of a vctor from th ntal poston to a sbsqnt poston assmd by a body. Dformaton: An altraton of shap, as by prssr or strss. Eampl: Cas Cas Tm 0 Cas 3 Tm t

3 Dformaton and Stran Dformaton and Stran Stran charactrzs a dformaton Eampl: D stran L0 L ε I L L L 0 0

4 Dformaton and Stran Knmatcs of Contnos Body Tm 0 Tm t a a 3 a 3 a Tm 0: Undformd confgraton Rfrnc (ntal) confgraton Matral confgraton Tm t: Dformd confgraton Crrnt confgraton Spatal confgraton

5 Dformaton and Stran Knmatcs of Contnos Body ( 3 a, a, a, t) OR, d to contnos body a a ( 3,,, t) Lagrangan Dscrpton: Elran Dscrpton: Th moton s dscrbd by th matral coordnat and tm t. Th moton s dscrbd by th spatal coordnat and tm t.

6 Dformaton and Stran Lagrangan vs. Elran Lagrangan ( a, a, a3, t) (Tackng a matral pont) a Elran a (,, 3, t) (Montorng a spatal pont) Th spatal coordnats of ths matral pont chang wth tm. a t0 tt tt Dffrnt matral ponts pass ths spatal pont a

7 Dformaton and Stran Lagrangan vs. Elran Lagrangan Trackng a matral pont. Matral pont s fd bt th spatal coordnats hav to b pdatd. Elran Trackng a spatal pont. Spatal coordnats ar fd bt Matral ponts kp changng. Good for constttv modl Not good for constttv modl. Sold Mchancs Fld Mchancs Sold Mchancs

8 Dformaton and Stran Knmatcs of Contnos Body Tm 0 a Tm t a 3 a 3 a Usng ndformd confgraton as rfrnc: ( a, a, a3) ( a, a, a3 ) a Usng dformd confgraton as rfrnc: (,, 3) a (,, 3)

9 Dformaton and Stran Masr th dformaton Tm 0 P Tm t a P0 Q Q0 a 3 a 3 a P { a, a a 3 } { a + da, a + da a 3 da 3 } {,, 3 } { + d, + d d } 0, Q + 0, P Q +, 3 3

10 Dformaton and Stran Masr th dformaton

11 Dformaton and Stran Masr th dformaton

12 Dformaton and Stran Stran Tnsor: k k a a E δ k k a a δ Grn Stran Almans Stran

13 Dformaton and Stran Stran Tnsor: + + k k a a a a E + k k Grn Stran Almans Stran Applcabl to both small and fnt (larg) dformaton.

14 Dformaton and Stran Physcal Eplanatons of Stran Tnsor Tm 0 P Tm t P0 da Q0 d Q a a 3 a 3

15 Dformaton and Stran Physcal Eplanatons of Stran Tnsor Tm 0 P Tm t P0 da Q0 d Q a 3 a a 3

16 Dformaton and Stran Physcal Eplanatons of Stran Tnsor a Tm 0 Tm t n n v v 3 a a 3

17 Dformaton and Stran If << << a small dformaton + a a E + Th qadratc trm n Grn stran and Almans stran can b nglctd. Also, n small dformaton, th dstncton btwn Lagrangan and Elran dsappars. + E Cachy s nfntsmal stran tnsor

18 Dformaton and Stran E + E Cachy s nfntsmal stran tnsor E E + E E E

19 Dformaton and Stran << << a If small dformaton Not: In most of th cass, a << << small dformaton Bt,

20 Dformaton and Stran Engnrng Strans Coordnats:, y, z Dsplacmnts:, v, w Normal strans: ε ε ε v y y w z 33 z

21 Dformaton and Stran Engnrng Strans Shar Strans: γ γ γ y v y + v z w y yz + z w z + 3 3

22 Dformaton and Stran Strtchs at small dformaton

23 Dformaton and Stran Cachy s Shar Stran and Engnrng Shar Strans A A d B C B d C

24 Dformaton and Stran Cachy s Shar Stran and Engnrng Shar Strans A θ A θ y θ γ y θ + θ v d B θ C ( θ +θ ) B d C

25 Dformaton and Stran Cachy s Shar Stran and Engnrng Shar Strans [] z yz z yz y y z y ε γ γ γ ε γ γ γ ε Tnsor Not a tnsor!!! z yz z yz y y z y ε γ γ γ ε γ γ γ ε Engnrng Stran

26 Dformaton and Stran Transformaton of Coordnat Systm In gnral β k β k

27 Dformaton and Stran Transformaton of Coordnat Systm D X X X θ X cos sn θ θ snθ cos + snθ cosθ snθ cosθ ( ) ( ) + cos θ sn θ + sn + cos θ θ

28 Dformaton and Stran Transformaton of Coordnat Systm D Mohr Crcl

29 Dformaton and Stran Stran Invarants

30 Dformaton and Stran Stran Dvatons Man Stran θ 3 Stran dvaton tnsor 0I 0 δ Octahdral Shar Stran γ 3 ( ) ( ) ( ) ( )

31

32 Dformaton and Stran Dtrmn Dsplacmnt Flds from Strans E + Qstons: Can th dsplacmnts b dtrmnd nqly?

33 Dformaton and Stran 3 + Th stran flds ar nconsstnt bcas 3 Dtrmn Dsplacmnt Flds from Strans

34 Dformaton and Stran Compatblty of Stran Flds B C A D B C Compatbl stran flds A D Undformd B C C B C C A D A D Incompatbl stran flds

35 Dformaton and Stran Intgrablty Condton In gnral f, ( ) g, ( ) Intgrablty condton ( Compatblty of stran flds ) f g Intgraton of stran flds ylds nq dsplacmnt componnts.

36 Dformaton and Stran Compatblty of Stran Flds +

37 Dformaton and Stran Compatblty of Stran Flds, kl + kl, k, l l, k 0 St. Vnant Eqatons of Compatblty Totally 8 qatons, bt only 6 ar ssntal., +,,,3 3, +,3 + 3,, , 3,3, , 3,3 +,3 3, +,3 3, + 33,,33 + 3,3 3,3

α α λ α = = λ λ α ψ = = α α α λ λ ψ α = + β = > θ θ β > β β θ θ θ β θ β γ θ β = γ θ > β > γ θ β γ = θ β = θ β = θ β = β θ = β β θ = = = β β θ = + α α α α α = = λ λ λ λ λ λ λ = λ λ α α α α λ ψ + α =

More information

Fundamentals of Tensor Analysis

Fundamentals of Tensor Analysis MCEN 503/ASEN 50 Chptr Fundmntls of Tnsor Anlysis Fll, 006 Fundmntls of Tnsor Anlysis Concpts of Sclr, Vctor, nd Tnsor Sclr α Vctor A physicl quntity tht cn compltly dscrid y rl numr. Exmpl: Tmprtur; Mss;

More information

where the coordinates are related to those in the old frame as follows.

where the coordinates are related to those in the old frame as follows. Chapter 2 - Cartesan Vectors and Tensors: Ther Algebra Defnton of a vector Examples of vectors Scalar multplcaton Addton of vectors coplanar vectors Unt vectors A bass of non-coplanar vectors Scalar product

More information

CHAPTER 8 Potential Energy and Conservation of Energy

CHAPTER 8 Potential Energy and Conservation of Energy CHAPTER 8 Potental Energy and Conservaton o Energy One orm o energy can be converted nto another orm o energy. Conservatve and non-conservatve orces Physcs 1 Knetc energy: Potental energy: Energy assocated

More information

Point cloud to point cloud rigid transformations. Minimizing Rigid Registration Errors

Point cloud to point cloud rigid transformations. Minimizing Rigid Registration Errors Pont cloud to pont cloud rgd transformatons Russell Taylor 600.445 1 600.445 Fall 000-014 Copyrght R. H. Taylor Mnmzng Rgd Regstraton Errors Typcally, gven a set of ponts {a } n one coordnate system and

More information

No 28 Xianning West Road, Xi an No 70 Yuhua East Road, Shijiazhuang. [email protected]

No 28 Xianning West Road, Xi an No 70 Yuhua East Road, Shijiazhuang. yongchunliang@hotmail.com On-Ln Dynamc Cabl Ratng for Undrground Cabls basd on DTS and FEM Y.C.Lang *, Y.M.L School of Elctrcal Engnrng * Dpartmnt of Elctrcal and Informaton X an Jaotong Unvrsty Hb Unvrsty of Scnc and Tchnology

More information

Life Analysis for the Main bearing of Aircraft Engines

Life Analysis for the Main bearing of Aircraft Engines f Analyss for th Man barng of Arcraft Engns Png n a, Xaolng Zhang a, png H a, anglang Dng a a School of Mchancs, Elctronc, and Industral Engnrng, Unvrsty of Elctronc Scnc and Tchnology of Chna, Chngdu,

More information

Lagrangian Dynamics: Virtual Work and Generalized Forces

Lagrangian Dynamics: Virtual Work and Generalized Forces Admssble Varatons/Vrtual Dsplacements 1 2.003J/1.053J Dynamcs and Control I, Sprng 2007 Paula Echeverr, Professor Thomas Peacock 4/4/2007 Lecture 14 Lagrangan Dynamcs: Vrtual Work and Generalzed Forces

More information

Faraday's Law of Induction

Faraday's Law of Induction Introducton Faraday's Law o Inducton In ths lab, you wll study Faraday's Law o nducton usng a wand wth col whch swngs through a magnetc eld. You wll also examne converson o mechanc energy nto electrc energy

More information

Mechanical Properties - Stresses & Strains

Mechanical Properties - Stresses & Strains Mechanical Properties - Stresses & Strains Types of Deformation : Elasic Plastic Anelastic Elastic deformation is defined as instantaneous recoverable deformation Hooke's law : For tensile loading, σ =

More information

New Basis Functions. Section 8. Complex Fourier Series

New Basis Functions. Section 8. Complex Fourier Series Nw Basis Functions Sction 8 Complx Fourir Sris Th complx Fourir sris is prsntd first with priod 2, thn with gnral priod. Th connction with th ral-valud Fourir sris is xplaind and formula ar givn for convrting

More information

The Beer-Bouguer-Lambert law. Concepts of extinction (scattering plus absorption) and emission. Schwarzschild s equation.

The Beer-Bouguer-Lambert law. Concepts of extinction (scattering plus absorption) and emission. Schwarzschild s equation. Lctur. Th Br-Bougur-Lambrt law. Concpt of xtncton cattrng plu aborpton and mon. Schwarzchld quaton. Objctv:. Th Br-Bougur-Lambrt law. Concpt of xtncton cattrng aborpton and mon. Optcal dpth.. A dffrntal

More information

21 Vectors: The Cross Product & Torque

21 Vectors: The Cross Product & Torque 21 Vectors: The Cross Product & Torque Do not use our left hand when applng ether the rght-hand rule for the cross product of two vectors dscussed n ths chapter or the rght-hand rule for somethng curl

More information

ME 612 Metal Forming and Theory of Plasticity. 6. Strain

ME 612 Metal Forming and Theory of Plasticity. 6. Strain Mtal Forming and Thory of Plasticity -mail: [email protected] Makin Mühndisliği Bölümü Gbz Yüksk Tknoloji Enstitüsü 6.1. Uniaxial Strain Figur 6.1 Dfinition of th uniaxial strain (a) Tnsil and (b) Comprssiv.

More information

Plane Stress Transformations

Plane Stress Transformations 6 Plane Stress Transformations ASEN 311 - Structures ASEN 311 Lecture 6 Slide 1 Plane Stress State ASEN 311 - Structures Recall that in a bod in plane stress, the general 3D stress state with 9 components

More information

sin(θ) = opp hyp cos(θ) = adj hyp tan(θ) = opp adj

sin(θ) = opp hyp cos(θ) = adj hyp tan(θ) = opp adj Math, Trigonometr and Vectors Geometr 33º What is the angle equal to? a) α = 7 b) α = 57 c) α = 33 d) α = 90 e) α cannot be determined α Trig Definitions Here's a familiar image. To make predictive models

More information

Complex Numbers. w = f(z) z. Examples

Complex Numbers. w = f(z) z. Examples omple Numbers Geometrical Transformations in the omple Plane For functions of a real variable such as f( sin, g( 2 +2 etc ou are used to illustrating these geometricall, usuall on a cartesian graph. If

More information

Projections - 3D Viewing. Overview Lecture 4. Projection - 3D viewing. Projections. Projections Parallel Perspective

Projections - 3D Viewing. Overview Lecture 4. Projection - 3D viewing. Projections. Projections Parallel Perspective Ovrviw Lctur 4 Projctions - 3D Viwing Projctions Paralll Prspctiv 3D Viw Volum 3D Viwing Transformation Camra Modl - Assignmnt 2 OFF fils 3D mor compl than 2D On mor dimnsion Displa dvic still 2D Analog

More information

Math, Trigonometry and Vectors. Geometry. Trig Definitions. sin(θ) = opp hyp. cos(θ) = adj hyp. tan(θ) = opp adj. Here's a familiar image.

Math, Trigonometry and Vectors. Geometry. Trig Definitions. sin(θ) = opp hyp. cos(θ) = adj hyp. tan(θ) = opp adj. Here's a familiar image. Math, Trigonometr and Vectors Geometr Trig Definitions Here's a familiar image. To make predictive models of the phsical world, we'll need to make visualizations, which we can then turn into analtical

More information

University of Maryland Fraternity & Sorority Life Spring 2015 Academic Report

University of Maryland Fraternity & Sorority Life Spring 2015 Academic Report University of Maryland Fraternity & Sorority Life Academic Report Academic and Population Statistics Population: # of Students: # of New Members: Avg. Size: Avg. GPA: % of the Undergraduate Population

More information

How To Write A Storybook

How To Write A Storybook ISTANBUL UNIVERSITY JOURNAL OF ELECTRICAL & ELECTRONICS ENGINEERING YEAR VOLUME NUMBER : 004 : 4 : (6-70) REALIZATION OF REACTIVE CONTROL FOR MULTI PURPOSE MOBILE AGENTS Slm YANNİER Asf ŞABANOVİÇ Ahmt

More information

An Integrated Semantically Correct 2.5D Object Oriented TIN. Andreas Koch

An Integrated Semantically Correct 2.5D Object Oriented TIN. Andreas Koch An Integrated Semantcally Correct 2.5D Object Orented TIN Andreas Koch Unverstät Hannover Insttut für Photogrammetre und GeoInformaton Contents Introducton Integraton of a DTM and 2D GIS data Semantcs

More information

Finite Dimensional Vector Spaces.

Finite Dimensional Vector Spaces. Lctur 5. Ft Dmsoal Vctor Spacs. To b rad to th musc of th group Spac by D.Maruay DEFINITION OF A LINEAR SPACE Dfto: a vctor spac s a st R togthr wth a oprato calld vctor addto ad aothr oprato calld scalar

More information

Rotation Kinematics, Moment of Inertia, and Torque

Rotation Kinematics, Moment of Inertia, and Torque Rotaton Knematcs, Moment of Inerta, and Torque Mathematcally, rotaton of a rgd body about a fxed axs s analogous to a lnear moton n one dmenson. Although the physcal quanttes nvolved n rotaton are qute

More information

Finite difference method

Finite difference method grd ponts x = mesh sze = X NÜÆ Fnte dfference method Prncple: dervatves n the partal dfferental eqaton are approxmated by lnear combnatons of fncton vales at the grd ponts 1D: Ω = (0, X), (x ), = 0,1,...,

More information

Geometric Transformation CS 211A

Geometric Transformation CS 211A Geometric Transformation CS 211A What is transformation? Moving points (x,y) moves to (x+t, y+t) Can be in any dimension 2D Image warps 3D 3D Graphics and Vision Can also be considered as a movement to

More information

Description of the Force Method Procedure. Indeterminate Analysis Force Method 1. Force Method con t. Force Method con t

Description of the Force Method Procedure. Indeterminate Analysis Force Method 1. Force Method con t. Force Method con t Indeternate Analyss Force Method The force (flexblty) ethod expresses the relatonshps between dsplaceents and forces that exst n a structure. Prary objectve of the force ethod s to deterne the chosen set

More information

ERLANG C FORMULA AND ITS USE IN THE CALL CENTERS

ERLANG C FORMULA AND ITS USE IN THE CALL CENTERS IFORTIO D OUITIO TEHOLOGIES D SERVIES, VOL. 9, O., RH 2 7 ERLG FORUL D ITS USE I THE LL ETERS Er HROY., Tbor ISUTH., atj KVKY. Dpartmnt of Tlcommuncatons, Faculty of Elctrcal Engnrng and Informaton Tchnology,

More information

Sun Synchronous Orbits for the Earth Solar Power Satellite System

Sun Synchronous Orbits for the Earth Solar Power Satellite System Sun Synchrnus Orbts fr th Earth Sar Pwr Satt Systm Sm f th mst prmsng rbts fr th Earth Sar Pwr Systm ar crcuar Sun synchrnus rbts whch nvr ntr Earth's shaw. In ths rbts, gravty grant stabz "pwr twrs" w

More information

Non-Linear and Unbalanced Three-Phase Load Static Compensation with Asymmetrical and Non Sinusoidal Supply

Non-Linear and Unbalanced Three-Phase Load Static Compensation with Asymmetrical and Non Sinusoidal Supply Non-Lnar and nbalancd Thr-Phas Load Statc Comnsaton wth Asymmtrcal and Non Snusodal Suly Rys S. Hrrra and P. Salmrón Elctrcal Engnrng Dartmnt Escula Poltécnca Suror, nvrsty of Hulva Ctra. Palos d la Frontra,

More information

Loop Parallelization

Loop Parallelization - - Loop Parallelzaton C-52 Complaton steps: nested loops operatng on arrays, sequentell executon of teraton space DECLARE B[..,..+] FOR I :=.. FOR J :=.. I B[I,J] := B[I-,J]+B[I-,J-] ED FOR ED FOR analyze

More information

Addition and Subtraction of Vectors

Addition and Subtraction of Vectors ddition and Subtraction of Vectors 1 ppendi ddition and Subtraction of Vectors In this appendi the basic elements of vector algebra are eplored. Vectors are treated as geometric entities represented b

More information

Review C: Work and Kinetic Energy

Review C: Work and Kinetic Energy MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department o Physcs 8.2 Revew C: Work and Knetc Energy C. Energy... 2 C.. The Concept o Energy... 2 C..2 Knetc Energy... 3 C.2 Work and Power... 4 C.2. Work Done by

More information

Problem Solving Session 1: Electric Dipoles and Torque

Problem Solving Session 1: Electric Dipoles and Torque MASSACHUSETTS INSTITUTE OF TECHNOLOGY Dpatmnt of Physics 8.02 Poblm Solving Sssion 1: Elctic Dipols and Toqu Sction Tabl (if applicabl) Goup Mmbs Intoduction: In th fist poblm you will lan to apply Coulomb

More information

Inertial Field Energy

Inertial Field Energy Adv. Studes Theor. Phys., Vol. 3, 009, no. 3, 131-140 Inertal Feld Energy C. Johan Masrelez 309 W Lk Sammamsh Pkwy NE Redmond, WA 9805, USA [email protected] Abstract The phenomenon of Inerta may

More information

Given three vectors A, B, andc. We list three products with formula (A B) C = B(A C) A(B C); A (B C) =B(A C) C(A B);

Given three vectors A, B, andc. We list three products with formula (A B) C = B(A C) A(B C); A (B C) =B(A C) C(A B); 1.1.4. Prouct of three vectors. Given three vectors A, B, anc. We list three proucts with formula (A B) C = B(A C) A(B C); A (B C) =B(A C) C(A B); a 1 a 2 a 3 (A B) C = b 1 b 2 b 3 c 1 c 2 c 3 where the

More information

Basic Equations of Fluid Dynamics

Basic Equations of Fluid Dynamics Basc Equatons of Flud Dynamcs Sergey Pankratov A lecture to the Practcal Course Scentfc Computng and Vsualzaton (June 17, 2004) Sergey Pankratov, TU München 1 Focus areas Euler and Lagrange descrptons

More information

Financial Mathematics

Financial Mathematics Financial Mathatics A ractical Guid for Actuaris and othr Businss rofssionals B Chris Ruckan, FSA & Jo Francis, FSA, CFA ublishd b B rofssional Education Solutions to practic qustions Chaptr 7 Solution

More information

Incomplete 2-Port Vector Network Analyzer Calibration Methods

Incomplete 2-Port Vector Network Analyzer Calibration Methods Incomplt -Port Vctor Ntwork nalyzr Calibration Mthods. Hnz, N. Tmpon, G. Monastrios, H. ilva 4 RF Mtrology Laboratory Instituto Nacional d Tcnología Industrial (INTI) Bunos irs, rgntina [email protected]

More information

The difference between voltage and potential difference

The difference between voltage and potential difference Slavko Vjevć 1, Tonć Modrć 1 and Dno Lovrć 1 1 Unversty of Splt, Faclty of electrcal engneerng, mechancal engneerng and naval archtectre Splt, Croata The dfference between voltage and potental dfference

More information

Physics 110 Spring 2006 2-D Motion Problems: Projectile Motion Their Solutions

Physics 110 Spring 2006 2-D Motion Problems: Projectile Motion Their Solutions Physcs 110 Sprn 006 -D Moton Problems: Projectle Moton Ther Solutons 1. A place-kcker must kck a football from a pont 36 m (about 40 yards) from the oal, and half the crowd hopes the ball wll clear the

More information

Support Vector Machines

Support Vector Machines Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada [email protected] Abstract Ths s a note to explan support vector machnes.

More information

Question 3: How do you find the relative extrema of a function?

Question 3: How do you find the relative extrema of a function? ustion 3: How do you find th rlativ trma of a function? Th stratgy for tracking th sign of th drivativ is usful for mor than dtrmining whr a function is incrasing or dcrasing. It is also usful for locating

More information

Conversion between the vector and raster data structures using Fuzzy Geographical Entities

Conversion between the vector and raster data structures using Fuzzy Geographical Entities Converson between the vector and raster data structures usng Fuzzy Geographcal Enttes Cdála Fonte Department of Mathematcs Faculty of Scences and Technology Unversty of Combra, Apartado 38, 3 454 Combra,

More information

Vehicle Detection and Tracking in Video from Moving Airborne Platform

Vehicle Detection and Tracking in Video from Moving Airborne Platform Journal of Computatonal Informaton Systems 10: 12 (2014) 4965 4972 Avalable at http://www.jofcs.com Vehcle Detecton and Trackng n Vdeo from Movng Arborne Platform Lye ZHANG 1,2,, Hua WANG 3, L LI 2 1 School

More information

Damage detection in composite laminates using coin-tap method

Damage detection in composite laminates using coin-tap method Damage detecton n composte lamnates usng con-tap method S.J. Km Korea Aerospace Research Insttute, 45 Eoeun-Dong, Youseong-Gu, 35-333 Daejeon, Republc of Korea [email protected] 45 The con-tap test has the

More information

CHAPTER 4c. ROOTS OF EQUATIONS

CHAPTER 4c. ROOTS OF EQUATIONS CHAPTER c. ROOTS OF EQUATIONS A. J. Clark School o Enginring Dpartmnt o Civil and Environmntal Enginring by Dr. Ibrahim A. Aakka Spring 00 ENCE 03 - Computation Mthod in Civil Enginring II Dpartmnt o Civil

More information

Finite Elements from the early beginning to the very end

Finite Elements from the early beginning to the very end Finit Elmnts from th arly bginning to th vry nd A(x), E(x) g b(x) h x =. x = L An Introduction to Elasticity and Hat Transfr Applications x Prliminary dition LiU-IEI-S--8/535--SE Bo Torstnflt Contnts

More information

4 Cosmological Perturbation Theory

4 Cosmological Perturbation Theory 4 Cosmologcal Perturbaton Theory So far, we have treated the unverse as perfectly homogeneous. To understand the formaton and evoluton of large-scale structures, we have to ntroduce nhomogenetes. As long

More information

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo.

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo. ICSV4 Carns Australa 9- July, 007 RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL Yaoq FENG, Hanpng QIU Dynamc Test Laboratory, BISEE Chna Academy of Space Technology (CAST) [email protected] Abstract

More information

Dip IFR. Diploma in International Financial Reporting. Friday 11 December 2015. The Association of Chartered Certified Accountants.

Dip IFR. Diploma in International Financial Reporting. Friday 11 December 2015. The Association of Chartered Certified Accountants. Diploma in International Financial Reporting Friday 11 December 2015 Time allowed Reading and planning: Writing: 15 minutes 3 hours ALL FOUR questions are compulsory and MUST be attempted. Dip IFR Do NOT

More information

Lecture 3: Diffusion: Fick s first law

Lecture 3: Diffusion: Fick s first law Lctur 3: Diffusion: Fick s first law Today s topics What is diffusion? What drivs diffusion to occur? Undrstand why diffusion can surprisingly occur against th concntration gradint? Larn how to dduc th

More information

Chapter 11 Torque and Angular Momentum

Chapter 11 Torque and Angular Momentum Chapter 11 Torque and Angular Momentum I. Torque II. Angular momentum - Defnton III. Newton s second law n angular form IV. Angular momentum - System of partcles - Rgd body - Conservaton I. Torque - Vector

More information

Deformation Integrity Monitoring for GNSS- Positioning Services including a Scalable Hazard Monitoring by the Karlsruhe Approach (MONIKA)

Deformation Integrity Monitoring for GNSS- Positioning Services including a Scalable Hazard Monitoring by the Karlsruhe Approach (MONIKA) Deformaton Integrty Montorng for GNSS- Postonng Servces ncludng a Scalable Hazard Montorng by the Karlsruhe Approach (MONIKA Prof. Dr.-Ing. ener Jäger Hochschule Karlsruhe Technk und Wrtschaft Faculty

More information

Vibrational Spectroscopy

Vibrational Spectroscopy Vibrational Spctroscopy armonic scillator Potntial Enrgy Slction Ruls V( ) = k = R R whr R quilibrium bond lngth Th dipol momnt of a molcul can b pandd as a function of = R R. µ ( ) =µ ( ) + + + + 6 3

More information

Use a high-level conceptual data model (ER Model). Identify objects of interest (entities) and relationships between these objects

Use a high-level conceptual data model (ER Model). Identify objects of interest (entities) and relationships between these objects Chaptr 3: Entity Rlationship Modl Databas Dsign Procss Us a high-lvl concptual data modl (ER Modl). Idntify objcts of intrst (ntitis) and rlationships btwn ths objcts Idntify constraints (conditions) End

More information

Mathematical Modelling and Predictive Control of Permanent Magnet Synchronous Motor Drives

Mathematical Modelling and Predictive Control of Permanent Magnet Synchronous Motor Drives ransactons on Elctrcal Engnrng, Vol. (), o. 4 4 athatcal ollng an Prctv ontrol o Prannt agnt ynchronos otor Drvs Květoslav la Dpt. o aptv ysts, Insttt o Inoraton hory an toaton o th R Po Voárnso věží 4,

More information

Generating Timed Trajectories for Autonomous Robotic Platforms: A Non-Linear Dynamical Systems Approach

Generating Timed Trajectories for Autonomous Robotic Platforms: A Non-Linear Dynamical Systems Approach Generatng Tmed Trajectores for Autonomous Robotc Platforms: A Non-Lnear Dynamcal Systems Approach Crstna Manuela Pexoto dos Santos Open Access Database www.-techonlne.com. Introducton Over the last years,

More information

Introduction to Finite Element Modeling

Introduction to Finite Element Modeling Introduction to Finit Elmnt Modling Enginring analysis of mchanical systms hav bn addrssd by driving diffrntial quations rlating th variabls of through basic physical principls such as quilibrium, consrvation

More information

ASCII CODES WITH GREEK CHARACTERS

ASCII CODES WITH GREEK CHARACTERS ASCII CODES WITH GREEK CHARACTERS Dec Hex Char Description 0 0 NUL (Null) 1 1 SOH (Start of Header) 2 2 STX (Start of Text) 3 3 ETX (End of Text) 4 4 EOT (End of Transmission) 5 5 ENQ (Enquiry) 6 6 ACK

More information

Projection-based Registration Using a Multi-view Camera for Indoor Scene Reconstruction

Projection-based Registration Using a Multi-view Camera for Indoor Scene Reconstruction Projecton-based Regstraton Usng a Mult-vew Camera for Indoor Scene Reconstructon Sehwan Km and Woontack Woo GIST U-VR Lab. Gwangju 500-71, S.Korea {skm, wwoo}@gst.ac.kr Abstract A regstraton method s proposed

More information

Cloud and Big Data Summer School, Stockholm, Aug., 2015 Jeffrey D. Ullman

Cloud and Big Data Summer School, Stockholm, Aug., 2015 Jeffrey D. Ullman Cloud and Big Data Summr Scool, Stockolm, Aug., 2015 Jffry D. Ullman Givn a st of points, wit a notion of distanc btwn points, group t points into som numbr of clustrs, so tat mmbrs of a clustr ar clos

More information

Mathematics. Mathematics 3. hsn.uk.net. Higher HSN23000

Mathematics. Mathematics 3. hsn.uk.net. Higher HSN23000 hsn uknt Highr Mathmatics UNIT Mathmatics HSN000 This documnt was producd spcially for th HSNuknt wbsit, and w rquir that any copis or drivativ works attribut th work to Highr Still Nots For mor dtails

More information

VECTOR ALGEBRA. 10.1.1 A quantity that has magnitude as well as direction is called a vector. is given by a and is represented by a.

VECTOR ALGEBRA. 10.1.1 A quantity that has magnitude as well as direction is called a vector. is given by a and is represented by a. VECTOR ALGEBRA Chapter 10 101 Overview 1011 A quantity that has magnitude as well as direction is called a vector 101 The unit vector in the direction of a a is given y a and is represented y a 101 Position

More information

Buffer Management Method for Multiple Projects in the CCPM-MPL Representation

Buffer Management Method for Multiple Projects in the CCPM-MPL Representation Industra ngnrng & Managmnt Systms Vo No 4 Dcmbr 22 pp.397-45 ISSN 598-7248 ISSN 2234-6473 http://dx.do.org/.7232/ms.22..4.397 22 KII Buffr Managmnt Mthod for Mutp Projcts n th CCPM-MP Rprsntaton Nguyn

More information

The circuit shown on Figure 1 is called the common emitter amplifier circuit. The important subsystems of this circuit are:

The circuit shown on Figure 1 is called the common emitter amplifier circuit. The important subsystems of this circuit are: polar Juncton Transstor rcuts Voltage and Power Amplfer rcuts ommon mtter Amplfer The crcut shown on Fgure 1 s called the common emtter amplfer crcut. The mportant subsystems of ths crcut are: 1. The basng

More information

Personalized Web Search by User Interest Hierarchy

Personalized Web Search by User Interest Hierarchy Prsonalzd Wb arch by Usr Intrst Hrarchy Abstract Most of th wb sarch ngns ar dsgnd to srv all usrs, ndpndnt of th nds of any ndvdual usr. Prsonalzaton of wb sarch s to carry out rtrval for ach usr ncorporatng

More information

Chapter 4. Linear Second Order Equations. ay + by + cy = 0, (1) where a, b, c are constants. The associated auxiliary equation is., r 2 = b b 2 4ac 2a

Chapter 4. Linear Second Order Equations. ay + by + cy = 0, (1) where a, b, c are constants. The associated auxiliary equation is., r 2 = b b 2 4ac 2a Chapter 4. Linear Second Order Equations ay + by + cy = 0, (1) where a, b, c are constants. ar 2 + br + c = 0. (2) Consequently, y = e rx is a solution to (1) if an only if r satisfies (2). So, the equation

More information

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 7. Root Dynamcs 7.2 Intro to Root Dynamcs We now look at the forces requred to cause moton of the root.e. dynamcs!!

More information

Vehicle Detection, Classification and Position Estimation based on Monocular Video Data during Night-time

Vehicle Detection, Classification and Position Estimation based on Monocular Video Data during Night-time Vehcle Detecton, Classfcaton and Poston Estmaton based on Monocular Vdeo Data durng Nght-tme Jonas Frl, Marko H. Hoerter, Martn Lauer and Chrstoph Stller Keywords: Automotve Lghtng, Lght-based Drver Assstance,

More information

Section G3: Differential Amplifiers

Section G3: Differential Amplifiers Scton G3: Dffrntal Amplfrs h dffrntal amplfr may b mplmntd usng Js or Fs and s a commonly usd buldng block n analog dsgn. W ar gong to b concntratng on th J mplmntaton of th dffrntal par as mttr-coupld,

More information

Computational Fluid Dynamics II

Computational Fluid Dynamics II Computatonal Flud Dynamcs II Eercse 2 1. Gven s the PDE: u tt a 2 ou Formulate the CFL-condton for two possble eplct schemes. 2. The Euler equatons for 1-dmensonal, unsteady flows s dscretsed n the followng

More information

Control of Perceived Quality of Service in Multimedia Retrieval Services: Prediction-based mechanism vs. compensation buffers

Control of Perceived Quality of Service in Multimedia Retrieval Services: Prediction-based mechanism vs. compensation buffers 1 Control of Prcvd Qualty of Srvc n ultmda Rtrval Srvcs: Prdcton-basd mchansm vs. compnsaton buffrs Aurlo La Cort, Alfo Lombardo, Srgo Palazzo, Govann Schmbra Isttuto d Informatca Tlcomuncazon, Unvrsty

More information

Bipolar Junction Transistor

Bipolar Junction Transistor 53: Smconductor vc hory nstructor: ragca aslska partmnt of lctrcal ngnrng Arzona Stat Unvrsty polar Juncton ransstor 53: Smconductor vc hory Outln. ntroducton. haractrstcs of a J 3. rakdown n J 4. Gomtry

More information

NON-LINEAR MULTIMODAL OBJECT TRACKING BASED ON 2D LIDAR DATA

NON-LINEAR MULTIMODAL OBJECT TRACKING BASED ON 2D LIDAR DATA Metrol. Meas. Syst. Vol. XVI (009), No 3, pp. 359-369 METROLOGY AND MEASUREMENT SYSTEMS Index 330930, ISSN 0860-89 www.metrology.pg.gda.pl NON-LINEAR MULTIMODAL OBJECT TRACKING BASED ON D LIDAR DATA Mchael

More information

Recurrence. 1 Definitions and main statements

Recurrence. 1 Definitions and main statements Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.

More information

Sales and operations planning (SOP) Demand forecasting

Sales and operations planning (SOP) Demand forecasting ing, introduction Sales and operations planning (SOP) forecasting To balance supply with demand and synchronize all operational plans Capture demand data forecasting Balancing of supply, demand, and budgets.

More information

An Analysis of Dynamic Severity and Population Size

An Analysis of Dynamic Severity and Population Size An Analyss of Dynamc Severty and Populaton Sze Karsten Wecker Unversty of Stuttgart, Insttute of Computer Scence, Bretwesenstr. 2 22, 7565 Stuttgart, Germany, emal: [email protected]

More information

Elastic Systems for Static Balancing of Robot Arms

Elastic Systems for Static Balancing of Robot Arms . th World ongress n Mechans and Machne Scence, Guanajuato, Méco, 9- June, 0 _ lastc Sstes for Statc alancng of Robot rs I.Sonescu L. uptu Lucana Ionta I.Ion M. ne Poltehnca Unverst Poltehnca Unverst Poltehnca

More information

Prof. Dr.-Ing. Reiner Jäger

Prof. Dr.-Ing. Reiner Jäger Geodetc Infrastructures for GNSS-Postonng-Servces (GIPS) - The Motor for Prospectve and Economy Relevant Developments n Publc, RaD and Industry Sector at Brazl - Prof. Dr.-Ing. Rener Jäger Hochschule Karlsruhe

More information

Week 13 Introduction to the Greeks and Portfolio Management:

Week 13 Introduction to the Greeks and Portfolio Management: Week 13 Introduction to the Greeks and Portfolio Management: Hull, Ch. 17; Poitras, Ch.9: I, IIA, IIB, III. 1 Introduction to the Greeks and Portfolio Management Objective: To explain how derivative portfolios

More information

Detailed Analysis of SCARA-Type Serial Manipulator on a Moving Base with LabView

Detailed Analysis of SCARA-Type Serial Manipulator on a Moving Base with LabView Internatonal Journal of Advanced Robotc Systems ARTICLE Detaled Analyss of SCARA-Type Seral Manpulator on a Movng Base wth LabVew Regular Paper Alrıa Kalel 1,*, Ahmet Dumlu 1, M. Fath Çorapsı 1 and Köksal

More information

Chapter 10: Basic Linear Unobserved Effects Panel Data. Models:

Chapter 10: Basic Linear Unobserved Effects Panel Data. Models: Chapter 10: Basic Linear Unobserved Effects Panel Data Models: Microeconomic Econometrics I Spring 2010 10.1 Motivation: The Omitted Variables Problem We are interested in the partial effects of the observable

More information

Physics 235 Chapter 1. Chapter 1 Matrices, Vectors, and Vector Calculus

Physics 235 Chapter 1. Chapter 1 Matrices, Vectors, and Vector Calculus Chapter 1 Matrices, Vectors, and Vector Calculus In this chapter, we will focus on the mathematical tools required for the course. The main concepts that will be covered are: Coordinate transformations

More information

Design Analysis and Review of Stresses at a Point

Design Analysis and Review of Stresses at a Point Design Analysis and Review of Stresses at a Point Need for Design Analysis: To verify the design for safety of the structure and the users. To understand the results obtained in FEA, it is necessary to

More information

Each grain is a single crystal with a specific orientation. Imperfections

Each grain is a single crystal with a specific orientation. Imperfections Crystal Structure / Imperfections Almost all materials crystallize when they solidify; i.e., the atoms are arranged in an ordered, repeating, 3-dimensional pattern. These structures are called crystals

More information