We investigate the computational performance of hybrid high-order methods applied to flow simulations in extremely large discrete fracture networks (over one million of fractures). We study the choice of basis functions, the trade-off between increasing the polynomial order and refining the mesh, and how to take advantage of polygonal cells to reduce the number of degrees of freedom.
Mots clés : discrete fracture networks, flow simulations, hybrid high-order methods
@article{SMAI-JCM_2022__8__375_0, author = {Ern, Alexandre and H\'edin, Florent and Pichot, G\'eraldine and Pignet, Nicolas}, title = {Hybrid high-order methods for flow simulations in extremely large discrete fracture networks}, journal = {The SMAI Journal of computational mathematics}, pages = {375--398}, publisher = {Soci\'et\'e de Math\'ematiques Appliqu\'ees et Industrielles}, volume = {8}, year = {2022}, doi = {10.5802/smai-jcm.92}, language = {en}, url = {http://archive.numdam.org/articles/10.5802/smai-jcm.92/} }
TY - JOUR AU - Ern, Alexandre AU - Hédin, Florent AU - Pichot, Géraldine AU - Pignet, Nicolas TI - Hybrid high-order methods for flow simulations in extremely large discrete fracture networks JO - The SMAI Journal of computational mathematics PY - 2022 SP - 375 EP - 398 VL - 8 PB - Société de Mathématiques Appliquées et Industrielles UR - http://archive.numdam.org/articles/10.5802/smai-jcm.92/ DO - 10.5802/smai-jcm.92 LA - en ID - SMAI-JCM_2022__8__375_0 ER -
%0 Journal Article %A Ern, Alexandre %A Hédin, Florent %A Pichot, Géraldine %A Pignet, Nicolas %T Hybrid high-order methods for flow simulations in extremely large discrete fracture networks %J The SMAI Journal of computational mathematics %D 2022 %P 375-398 %V 8 %I Société de Mathématiques Appliquées et Industrielles %U http://archive.numdam.org/articles/10.5802/smai-jcm.92/ %R 10.5802/smai-jcm.92 %G en %F SMAI-JCM_2022__8__375_0
Ern, Alexandre; Hédin, Florent; Pichot, Géraldine; Pignet, Nicolas. Hybrid high-order methods for flow simulations in extremely large discrete fracture networks. The SMAI Journal of computational mathematics, Tome 8 (2022), pp. 375-398. doi : 10.5802/smai-jcm.92. http://archive.numdam.org/articles/10.5802/smai-jcm.92/
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