| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of Computational Science (Q2) | ||
| Dergi ISSN | 1877-7503 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2023 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-01-2023 |
| Cilt / Sayı / Sayfa | 66 / 1 / 101914–0 | DOI | 10.1016/j.jocs.2022.101914 |
| Makale Linki | http://dx.doi.org/10.1016/j.jocs.2022.101914 | ||
| UAK Araştırma Alanları |
Uygulamalı Matematik
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| Özet |
| In this study, we analyse a continuous data assimilation (CDA) scheme which enables us to combine an observable data with a numerical method to obtain better solutions in which these solutions are also closely similar to the current state of the system. The scheme is applied on a Navier–Stokes system which is discretized with two-step Backward Differentiation Formula (BDF2) in time and finite element in space. In order to improve the accuracy and prevent some non-physical oscillations due to the effect of small viscosity and the dominance of convection, a projection based variational multiscale method (VMS) has also been applied to the system. We present the long-time stability and long-time convergence analyses of the scheme in details and several numerical tests in order to support theoretical findings and demonstrate the promise of the method. |
| Anahtar Kelimeler |
| Continuous data assimilation | Finite element method | Navier–Stokes equations | Variational multiscale method |
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |
| Google Scholar | 1 |
| Dergi Adı | Journal of Computational Science |
| Yayıncı | Elsevier B.V. |
| Açık Erişim | Hayır |
| ISSN | 1877-7503 |
| E-ISSN | 1877-7511 |
| CiteScore | 6,5 |
| SJR | 0,697 |
| SNIP | 1,208 |