2014
DOI: 10.1002/pamm.201410277
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Voxel‐based fast solution of the Lippmann‐Schwinger equation with smooth material interfaces

Abstract: The FFT-based homogenization method proposed by Moulinec and Suquet [1] in 1994 to solve the Lippmann-Schwinger equation has recently become more popular due to its computational speed and accuracy. It is based on regular voxel grids and can work on segmented CT images directly. Given an interface description on the sub-voxel scale we show that using interface voxels with an appropriately chosen stiffness significantly enhances the accuracy of the computed effective properties and decreases voxelation effects … Show more

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Cited by 6 publications
(5 citation statements)
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“…Figure 5 (left) shows the calculated fracture energy G n c relative to the one predicted by Eq. (14). Remember that G c was derived for the rate-independent limit.…”
Section: Effect Of Length Scale Contrast In the Gradient Based Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Figure 5 (left) shows the calculated fracture energy G n c relative to the one predicted by Eq. (14). Remember that G c was derived for the rate-independent limit.…”
Section: Effect Of Length Scale Contrast In the Gradient Based Modelmentioning
confidence: 99%
“…planar in 3D) elements cannot be used. Composite pixel based approaches, for example [14], which make use of the interface normal to assign homogenised mechanical properties to grid points near the interfaces, are a step in that direction. But at this point it is not clear how they will perform in situations of damaging interfaces that are inclined or curved.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Willot et al in [35,36] adjusted the integral kernel in the Lippmann-Schwinger equation which led to improved accuracy in approximate solutions, illustrated with a comparison using an analytical solution [37]. A possible improvement can also be achieved by smoothing of material coefficients [38], [11, section 8.3]. Significant attention was granted to improving the linear solvers leading to the accelerated schemes [39,18] or to the Krylov subspace methods, such as conjugate gradients [29,31]; a comparison can be found in [40,41].…”
Section: Fft-based Homogenizationmentioning
confidence: 99%
“…This article outgrew from Dennis Merkert's master thesis [29,30], which covered mixing rules for conductivity.…”
Section: Introductionmentioning
confidence: 98%