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Computational Methods for Debonding in Composites

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230 J.A. Oliveira et al.<br />

χ jk<br />

i (0,y2,y3) =χ jk<br />

i (y0 1 ,y2,y3)<br />

χ jk<br />

i (y1,0,y3) =χ jk<br />

i (y1,y 0 2 ,y3)<br />

χ<br />

and (11.23)<br />

jk<br />

i (y1,y2,0) =χ jk<br />

i (y1,y2,y 0 3 )<br />

In order to prevent rigid body motion, displacements and rotations of an arbitrary<br />

po<strong>in</strong>t of the unit-cell must be locked. In this work, this restriction is created act<strong>in</strong>g<br />

only on the translation degrees of freedom of one of the vertices of the RUC. Rigid<br />

body motion is avoided by the periodicity constra<strong>in</strong>ts, which, as shown <strong>in</strong> relations<br />

11.23, <strong>for</strong>ce the restriction to act equally over all other vertices.<br />

11.3.3 Homogenised Elasticity Matrix D h<br />

The homogenised elasticity matrix D h is obta<strong>in</strong>ed from Eq. (11.17), result<strong>in</strong>g <strong>in</strong><br />

D h =<br />

ne<br />

∑<br />

k=1<br />

Y k<br />

Y Dk (I − B k χχχ k ) (11.24)<br />

where Y k is the volume of element k, Y the total geometry volume and I the identity<br />

matrix. Note that if χχχ = 0, this equation becomes the classical volume average of<br />

the elastic properties of the microscale elements.<br />

11.4 Numerical Procedures<br />

The numerical tools developed by the authors are based on the f<strong>in</strong>ite element<br />

method (FEM) [13, 15, 25] and use tetrahedral and hexahedral f<strong>in</strong>ite elements. The<br />

ma<strong>in</strong> focus of this section is on the auxiliary algorithms <strong>for</strong> RUC generation and<br />

periodicity boundary condition management.<br />

11.4.1 The Ma<strong>in</strong> Program<br />

The f<strong>in</strong>ite element code is developed <strong>for</strong> structural l<strong>in</strong>ear elastic computations [13].<br />

It solves 3-D problems us<strong>in</strong>g tetrahedral or hexahedral (l<strong>in</strong>ear or quadratic) f<strong>in</strong>ite<br />

elements.<br />

S<strong>in</strong>ce the FEM analyses considered <strong>in</strong> this work often lead to sparse coefficient<br />

matrices, us<strong>in</strong>g the complete matrix on the numerical calculations greatly reduces<br />

the efficiency of the matrix operations <strong>in</strong>volved. This may become critical with the<br />

<strong>in</strong>crease of the size of the problem, as the number of zero coefficients tends to<br />

<strong>in</strong>crease, lead<strong>in</strong>g to a waste of computational ef<strong>for</strong>t. This limitation can be overcome

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