- Oct 02, 2023
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Klaus Böhnlein authored
Voigt-Notation distinguishes in the transformation from Matrix to Vector between stresses and strains. The transformation for strains features an additional factor 2 for the non-diagonal entries. In order to avoid the use of different data structures for both stresses & strains we use the same Matrix-to-Vector mapping ('matrixToVoigt') and incorporate the factors in suitable places. namely: - The Stiffness matrix of the constitutive relation gets scaled by a factor of 2 in the last three columns - The 'voigtScalarProduct' scales the last three products by a factor of 2
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Sander, Oliver authored
This avoids many transformations from symmetric matrices to Voigt vectors and back. In my (limited) testing, this reduces the time to assemble the stiffness matrix by about 25%. This patch also introduces a custom scalar product method for Voigt vectors, which reproduces the Frobenius scalar product in matrix space. That way, the potentially confusing distinction between stress-like Voigt vectors and strain-like Voigt vectors can be avoided.
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Sander, Oliver authored
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Sander, Oliver authored
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Sander, Oliver authored
There is no need for this. At least, I don't see any.
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Sander, Oliver authored
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- Oct 01, 2023
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Klaus Böhnlein authored
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Klaus Böhnlein authored
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- Sep 29, 2023
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Klaus Böhnlein authored
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- Jul 06, 2023
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Sander, Oliver authored
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Sander, Oliver authored
Because such statements bleed into all the files that include the headers, and this may lead to compilation errors later.
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- Sep 21, 2022
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Klaus Böhnlein authored
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- Aug 31, 2022
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Klaus Böhnlein authored
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Klaus Böhnlein authored
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Klaus Böhnlein authored
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Klaus Böhnlein authored
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Klaus Böhnlein authored
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Klaus Böhnlein authored
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- Aug 30, 2022
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Klaus Böhnlein authored
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Klaus Böhnlein authored
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- Aug 29, 2022
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Klaus Böhnlein authored
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Klaus Böhnlein authored
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Klaus Böhnlein authored
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Klaus Böhnlein authored
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Klaus Böhnlein authored
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Klaus Böhnlein authored
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- Aug 28, 2022
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Klaus Böhnlein authored
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Klaus Böhnlein authored
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Klaus Böhnlein authored
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- Aug 27, 2022
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Klaus Böhnlein authored
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- Aug 26, 2022
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Klaus Böhnlein authored
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