Artículo
Error analysis of proper orthogonal decomposition data assimilation schemes with grad–div stabilization for the Navier–Stokes equations
Autor/es | García-Archilla, Bosco
Novo, Julia Rubino, Samuele |
Departamento | Universidad de Sevilla. Departamento de Matemática Aplicada II (ETSI) |
Fecha de publicación | 2022-09 |
Fecha de depósito | 2022-07-01 |
Publicado en |
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Resumen | The error analysis of a proper orthogonal decomposition (POD) data assimilation (DA) scheme for the Navier–Stokes equations is carried out. A grad–div stabilization term is added to the formulation of the POD method. Error ... The error analysis of a proper orthogonal decomposition (POD) data assimilation (DA) scheme for the Navier–Stokes equations is carried out. A grad–div stabilization term is added to the formulation of the POD method. Error bounds with constants independent on inverse powers of the viscosity parameter are derived for the POD algorithm. No upper bounds in the nudging parameter of the data assimilation method are required. Numerical experiments show that, for large values of the nudging parameter, the proposed method rapidly converges to the real solution, and greatly improves the overall accuracy of standard POD schemes up to low viscosities over predictive time intervals. |
Identificador del proyecto | PGC2018-096265-B-I00
PID2019-104141GB-I00 VA169P20 RTI2018-093521-B-C31 |
Cita | García Archilla, J.B., Novo, J. y Rubino, S. (2022). Error analysis of proper orthogonal decomposition data assimilation schemes with grad–div stabilization for the Navier–Stokes equations. Journal of Computational and Applied Mathematics, 411, 114246. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Bosco_Error analysis_JCAM411.pdf | 2.324Mb | [PDF] | Ver/ | |