Finite Element Methods (UNIT - 1) - M.C. Nguyen

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HANOI UNIVERSITY OF SCIENCE AND TECHNOLOGY UNIVERSITY OF MECHANICS Finite Element Methods Preparedby Prof.M.C. Nguyen, Dept of Mechatronics 1

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UNIT - 1 • Introduction to FEM: – Stiffness equations for a axial bar element in local co-ordinates using Potential Energy approach and Virtual energy principle – Finite element analysis of uniform, stepped and tapered bars subjected to mechanical and thermal loads – Assembly of Global stiffness matrix and loadvector – Quadratic shape functions – properties of stiffness matrix 2

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Axially Loaded Bar –GoverningEquations and Boundary Conditions • Differential Equation d EA(x) du   f (x) 0 0  x L dx  dx • Boundary Condition Types • prescribed displacement (essential BC) •prescribed force/derivative of displacement (natural BC) 5

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Potential Energy • Elastic Potential Energy (PE) - Spring case Unstretched spring PE 0 Stretchedbar 1 PE  kx2 2 x - Axially loaded bar undeformed: PE 0 1 L deformed: PE  Adx 2 - Elastic body 0 PE  1 σT εdv 2 V 7

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Potential Energy • Work Potential (WE) f P f: distributed force over a line A B P: point force L u: displacement WP  u fdx PuB 0 • Total Potential Energy 1 L L   Adx u fdx Pu B 2 0 0 • Principle of Minimum PotentialEnergy For conservative systems, of all the kinematically admissible displacement fields, those corresponding to equilibrium extremize the total potential energy. If the extremum condition is a minimum, the equilibrium state isstable. 8

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Potential Energy + Rayleigh-Ritz Approach Example: f P A B Step 1: assume a displacement field u  a x i 1 to n i i i  is shape function / basis function n is the order of approximation Step 2: calculate total potential energy 9

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Potential Energy +Rayleigh-Ritz Approach Example: f P A B Step 3:select ai so that the total potential energy isminimum 10

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Galerkin’sMethod Example: f P A B d  du Seekan approximation u~so  EA(x)   f (x)  0 dx  dx   d  du~  ux  0 0 wi  EA(x)   f ( x)dV 0  dx  dx   V EA(x) du  P u~x 0 0 dx du~ xL EA(x)  P dx xL In the Galerkin’s method, the weight function is chosen to be the same as the shape function. 11

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Galerkin’sMethod Example: f P A B  d  du~  L du~dw L du~L wi EA(x)   f ( x)dV  0 EA(x) i dx  wi fdx wi EA(x) 0  dx dx  dx dx dx V 0 0 0 1 2 3 1 2 3 12

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FEM Formulation of AxiallyLoaded Bar –Governing Equations • Differential Equation d  du  EA(x)   f (x)  0 0  x L dx  dx  • Weighted-Integral Formulation L w d EA(x) du  f (x)dx  0   0  dx  dx  • Weak Form L L dw  du    du  0   EA(x) wf (x)dx wEA(x)   dx  dx    dx  0 0 14

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Approximation Methods –Finite Element Method Example: Step 1: Discretization Step 2: Weak form of one element P P 1 2 x1 x 2 x x2 dw  du    du  2  dx EA(x) dx   w(x) f (x)dx  w(x)EA(x) dx   0      x x1 1 x2 dw  du    EA(x)   w(x) f (x)dx  w x P w x P  0  dx  dx   2 2 1 1 x1 15

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Approximation Methods –Finite Element Method Example (cont): Step 3: Choosing shape functions - linear shapefunctions u   u  u 1 1 2 2 x  x l x    1 2 x  x x x  1  1   2 ;   1  ;  1 2 2 2 1 l 2 l 2    1l   x x  1; x   x l 1 2 1 16

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Approximation Methods –Finite Element Method Example (cont): Step 4: Forming element equation E,Aare constant EA EA x2 x2 1 u  u  x2  Letw , weak form becomes   EA 2 1 dx   f dx   P   P 0 u  u  f dx  P 1 l 1 l 2 1 1 l l  1 1 2 1 1 x1 x1 x1 EA EA x2 x2 1 u  u  x2  Letw  , weak form becomes  EA 2 1 dx   f dx   P   P  0  u  u  f dx  P 2 l 1 l 2 2 2 l  l  2 2 2 2 1 x1 x1 x1 x2  1 fdx EA 1 1u  x  P   f  P    1    1   1    1   1 l 1 1  u  x2  P   f  P 2  fdx 2 2 2  2  x1  17

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Approximation Methods –Finite Element Method Example (cont): Step 5: Assembling to form systemequation Approach 1:  1 1 0 0 uI  f I  PI     1   1   1  Element 1: E AI I 1 1 0 0uI   f I  PI   2    2    2  lI  0 0 0 0  0  0   0   0 0 0 0  0  0   0         0 0 0 0  0   0   0  Element2: E II AII 0 1 1 0 uII f II PII     1   1      1  lII 0 1 1 0uII  f II  PII  0 0 0  2 2 2  0 0  0  0  0 0 0 0   0   0   0  Element 3:   E III AIII 0 0 0 0  0   0   0         lIII 0 0 1 1 u III f III PIII   1   1  1  18 0 0 1 1 uIII   f III  PIII    2   2   2 

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Approximation Methods –Finite Element Method Example (cont): Step 5: Assembling to form systemequation Assembled System:  E A  E AI I  I I  0 0  lI lI  II II  u f P  I   I   EI AI E I AI E IIAII  E A  1   1   1 f P   0  1   1   u   f  P  fI f II PI  PII  lI lI lII lII   2    2    2   2 1   2 1  u   f  P       EII AII EII AII EIII AIII EIII AIII    f II  f III PII PIII 0     3   3  3  2 1   2 1   lII lII lIII lIII u   f  P   f III   PIII    4 4 4  2   2   EIII AIII EIII AIII  0 0   lIII lIII  19

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Approximation Methods –Finite Element Method Example (cont): Step 5: Assembling to form systemequation Approach 2: Element connectivity table Element 1 Element 2 Element 3 k e  K 1 1 2 3 ij IJ 2 2 3 4 local node global node index (i,j) (I,J) 20

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