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dc.contributor.author | Gazzola, Laura![]() |
es_ES |
dc.contributor.author | Ferronato, Massimiliano![]() |
es_ES |
dc.contributor.author | Berrone, Stefano![]() |
es_ES |
dc.contributor.author | Pieraccini, Sandra![]() |
es_ES |
dc.contributor.author | Scialò, Stefano![]() |
es_ES |
dc.date.accessioned | 2022-09-22T12:58:59Z | |
dc.date.available | 2022-09-22T12:58:59Z | |
dc.date.issued | 2022-05-11 | |
dc.identifier.isbn | 9788490489697 | |
dc.identifier.uri | http://hdl.handle.net/10251/186462 | |
dc.description.abstract | [EN] The simulation of underground flow across intricate fracture networks can be addressed by means of discrete fracture network models. The combination of such models with an optimization formulation allows for the use of nonconforming and independent meshes for each fracture. The arising algebraic problem produces a symmetric saddle-point matrix with a rank-deficient leading block. In our work, we investigate the properties of the system to design a block preconditioning strategy to accelerate the iterative solution of the linearized algebraic problem. The matrix is first permuted and then projected in the symmetric positive-definite Schur-complement space. The proposed strategy is tested in applications of increasing size, in order to investigate its capabilities. | es_ES |
dc.format.extent | 9 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Editorial Universitat Politècnica de València | es_ES |
dc.relation.ispartof | Proceedings of the YIC 2021 - VI ECCOMAS Young Investigators Conference | |
dc.rights | Reconocimiento - No comercial - Compartir igual (by-nc-sa) | es_ES |
dc.subject | Discrete fracture network | es_ES |
dc.subject | Preconditioning | es_ES |
dc.title | Numerical investigation on a block preconditioning strategy to improve the computational efficiency of DFN models | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.4995/YIC2021.2021.12234 | |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Gazzola, L.; Ferronato, M.; Berrone, S.; Pieraccini, S.; Scialò, S. (2022). Numerical investigation on a block preconditioning strategy to improve the computational efficiency of DFN models. En Proceedings of the YIC 2021 - VI ECCOMAS Young Investigators Conference. Editorial Universitat Politècnica de València. 346-354. https://doi.org/10.4995/YIC2021.2021.12234 | es_ES |
dc.description.accrualMethod | OCS | es_ES |
dc.relation.conferencename | VI ECCOMAS Young Investigators Conference | es_ES |
dc.relation.conferencedate | Julio 07-09, 2021 | es_ES |
dc.relation.conferenceplace | Valencia, España | es_ES |
dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/YIC/YIC2021/paper/view/12234 | es_ES |
dc.description.upvformatpinicio | 346 | es_ES |
dc.description.upvformatpfin | 354 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | OCS\12234 | es_ES |