Skip to content

FFT-based homogenization in Python

License

Notifications You must be signed in to change notification settings

simon596/FFTHomPy

 
 

Repository files navigation

FFTHomPy

FFT-based homogenization in Python is a numerical software for evaluating guaranteed upper-lower bounds on homogenized properties. The algorithms implemented here are based on the papers in references .

News

  • The code now contains modelling using tesors with a low rank tensor approximation.

Manual

The basic manual can be found at

or downloaded at

Tutorials can be found in a folder '/tutorial'.

Requirements and installation

No special installation is required. However, the folder with the code has to be in the python path.

The code is optimised for Python (version 3.6) and depends on the following numerical libraries:

  • NumPy (version 1.16) and
  • SciPy (version 1.3) for scientific computing as well as on the
  • Matplotlib (version 3.1) for plotting
  • StoPy for uncertainty quantification
  • ttpy Python implementation of the Tensor Train (TT)-Toolbox

References

The code is based on the following papers, where you can find more theoretical information.

  • J. Vondřejc, D. Liu, M. Ladecký, and H.G. Matthies: FFT-Based Homogenisation Accelerated by Low-Rank Tensor Approximations. Computer Methods in Applied Mechanics and Engineering, 364, pp. 112890, 2020. https://doi.org/10.1016/j.cma.2020.112890
  • J. Vondřejc, T.W.J. de Geus: Energy-based comparison between the Fourier--Galerkin method and the finite element method. Journal of Computational and Applied Mathematics. 374, pp. 112585, 2020. https://doi.org/10.1016/j.cam.2019.112585
  • J. Zeman, T. W. J. de Geus, J. Vondřejc, R. H. J. Peerlings, and M. G. D. Geers: A finite element perspective on non-linear FFT-based micromechanical simulations. International Journal for Numerical Methods in Engineering, 111 (10), pp. 903-926, 2017. arXiv:1601.05970
  • N. Mishra, J. Vondřejc, J. Zeman: A comparative study on low-memory iterative solvers for FFT-based homogenization of periodic media. Journal of Computational Physics, 321, pp. 151-168, 2016. arXiv:1508.02045
  • J. Vondřejc: Improved guaranteed computable bounds on homogenized properties of periodic media by Fourier-Galerkin method with exact integration. International Journal for Numerical Methods in Engineering, 107 (13), pp.~1106-1135, 2016. arXiv:1412.2033
  • J. Vondřejc, J. Zeman, I. Marek: Guaranteed upper-lower bounds on homogenized properties by FFT-based Galerkin method. Computer Methods in Applied Mechanics and Engineering, 297, pp. 258–291, 2015. arXiv:1404.3614
  • J. Vondřejc, J. Zeman, I. Marek: An FFT-based Galerkin method for homogenization of periodic media. Computers and Mathematics with Applications, 68, pp. 156-173, 2014. arXiv:1311.0089
  • J. Zeman, J. Vondřejc, J. Novák and I. Marek: Accelerating a FFT-based solver for numerical homogenization of periodic media by conjugate gradients. Journal of Computational Physics, 229 (21), pp. 8065-8071, 2010. arXiv:1004.1122

About

FFT-based homogenization in Python

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%