Error estimation for proper generalized decomposition solutions: Dual analysis and adaptivity for quantities of interest
Author (s): Reis, J.; Moitinho de Almeida, J.P.; Díez, P. and Zlotnik, S.
Journal: International Journal for Numerical Methods in Engineering
Volume: 122
Pages: 752 – 776
Date: 2021
Abstract:
When designing a structure or engineering a component, it is crucial to use methods that provide fast and reliable
solutions, so that a large number of design options can be assessed. In this context, the Proper Generalized Decomposition
can be a powerful tool, as it provides solutions to parametric problems, without being aected by the “curse of
dimensionality”.
Assessing the accuracy of the solutions obtained with the PGD is still a relevant challenge, particularly when seeking
quantities of interest with guaranteed bounds.
In this work, we compute compatible and equilibrated PGD solutions and use them in a dual analysis to obtain
quantities of interest and their bounds, which are guaranteed.
We also use these complementary solutions to compute an error indicator, which is used to drive a mesh adaptivity
process, oriented for a quantity of interest. The corresponding solutions have errors that are much lower than those
obtained using a uniform renement or an indicator based on the global error, as the proposed approach focuses on
minimizing the error in the quantity of interest.
Bibtex:
@article{2021-IJNME-RMDZ, Author = {Reis, Jonatha and Moitinho de Almeida, Jose Paulo and D{\'i}ez, Pedro and Zlotnik, Sergio}, Title = {Error estimation for proper generalized decomposition solutions: Dual analysis and adaptivity for quantities of interest}, Fjournal = {International Journal for Numerical Methods in Engineering}, Volume = {122}, Number = {3}, Pages = {752-776 }, Year = {2021}, Doi = {10.1002/nme.6559}, }