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Extension and comparison of techniques to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamic problems.

S. Star, G. Stabile, F. Belloni, G. Rozza, and J. Degroote. CoRR, (2019)

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Arnaud Degroote

Jörg-Udo Joris

Urban Jörissen

Joris Vorstius

Joris Corvo

Other publications of authors with the same name

Extension and comparison of techniques to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamic problems.S. Star, G. Stabile, F. Belloni, G. Rozza, and J. Degroote. CoRR, (2019)Accuracy of Carotid Strain Estimates From Ultrasonic Wall Tracking: A Study Based on Multiphysics Simulations and In Vivo Data.A. Swillens, G. Santis, J. Degroote, L. Løvstakken, J. Vierendeels, and P. Segers. IEEE Trans. Medical Imaging, 31 (1): 131-139 (2012)On the use of gradients in kriging surrogate models.S. Ulaganathan, I. Couckuyt, T. Dhaene, E. Laermans, and J. Degroote. WSC, page 2692-2701. IEEE/ACM, (2014)Hemodynamics and wall shear metrics in a pulmonary autograft: Comparing a fluid-structure interaction and computational fluid dynamics approach.A. Balasubramanya, L. Maes, F. Rega, V. Mazzi, U. Morbiducci, N. Famaey, J. Degroote, and P. Segers. Comput. Biol. Medicine, (2024)The Quasi-Newton Least Squares Method: A New and Fast Secant Method Analyzed for Linear Systems.R. Haelterman, J. Degroote, D. Heule, and J. Vierendeels. SIAM J. Numer. Anal., 47 (3): 2347-2368 (2009)Bubble simulations with an interface tracking technique based on a partitioned fluid-structure interaction algorithm.J. Degroote, P. Bruggeman, R. Haelterman, and J. Vierendeels. J. Comput. Appl. Math., 234 (7): 2303-2310 (2010)Introducing DAIMYO: a first-time-right dynamic design architecture and its application to tail-sitter UAS development.J. Wauters, T. Lefebvre, J. Degroote, I. Couckuyt, and G. Crevecoeur. CoRR, (2024)On the similarity between Dirichlet–Neumann with interface artificial compressibility and Robin–Neumann schemes for the solution of fluid-structure interaction problemsJ. Degroote. Journal of Computational Physics, 230 (17): 6399--6403 (July 2011)A hybrid sequential sampling based metamodelling approach for high dimensional problems.S. Ulaganathan, I. Couckuyt, T. Dhaene, E. Laermans, and J. Degroote. CEC, page 1917-1923. IEEE, (2016)On the Similarities Between the Quasi-Newton Inverse Least Squares Method and GMRes.R. Haelterman, J. Degroote, D. Heule, and J. Vierendeels. SIAM J. Numer. Anal., 47 (6): 4660-4679 (2010)

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Disambiguation of "Degroote, Joris"

Please choose a person to relate this publication to

Arnaud Degroote

Jörg-Udo Joris

Urban Jörissen

Joris Vorstius

Joris Corvo

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Degroote, Joris"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Extension and comparison of techniques to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamic problems.

Please choose a person to relate this publication to

Arnaud Degroote

Jörg-Udo Joris

Urban Jörissen

Joris Vorstius

Joris Corvo

Other publications of authors with the same name

Disambiguation