Energy-based comparison between the Fourier-Galerkin method and the finite element method
Energy-based comparison between the Fourier-Galerkin method and the finite element method
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傅里叶伽辽金法与有限元法基于能量的比较
DOI:
10.1016/j.cam.2019.112585
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
T.W.J. de Geus
中科院分区:
文献类型:
--
作者:
J. Vondřejc;T.W.J. de Geus
The Fourier–Galerkin method (in short FFTH) has gained popularity in numerical homogenisation because it can treat problems with a huge number of degrees of freedom. Because the method incorporates the fast Fourier transform (FFT) in the linear solver, it is believed to provide an improvement in computational and memory requirements compared to the conventional finite element method (FEM). Here, we systematically compare these two methods using the energetic norm of local fields, which has the clear physical interpretation as being the error in the homogenised properties. This enables the comparison of memory and computational requirements at the same level of approximation accuracy. We show that the methods’ effectiveness relies on the smoothness (regularity) of the solution and thus on the material coefficients. Thanks to its approximation properties, FEM outperforms FFTH for problems with jumps in material coefficients, while ambivalent results are observed for the case that the material coefficients vary continuously in space. FFTH profits from a good conditioning of the linear system, independent of the number of degrees of freedom, but generally needs more degrees of freedom to reach the same approximation accuracy. More studies are needed for other FFT-based schemes, non-linear problems, and dual problems (which require special treatment in FEM but not in FFTH).
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DOI:
10.1016/j.camwa.2019.05.021
发表时间:
2017-10
期刊:
Comput. Math. Appl.
影响因子:
--
作者:
J. Vondrejc
通讯作者:
J. Vondrejc
影响因子:
2.9
作者:
F. Willot;B. Abdallah;Y. Pellegrini
通讯作者:
F. Willot;B. Abdallah;Y. Pellegrini
影响因子:
3.3
作者:
B. Anglin;R. Lebensohn;A. Rollett
通讯作者:
B. Anglin;R. Lebensohn;A. Rollett
影响因子:
2.9
作者:
S. Brisard
通讯作者:
S. Brisard
影响因子:
2.9
作者:
M. Schneider
通讯作者:
M. Schneider