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CFD Modeling of Bluff-Body Stabilized Premixed Flames with Data Assimilation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Wang, Yijun Walters, Sean Overton-Katz, Nathaniel Guzik, Stephen M. Gao, Xinfeng |
| Copyright Year | 2020 |
| Abstract | In this work, we focus on investigating the impact of data assimilation on CFD modeling of complex fluid dynamics in a more realistic geometry. The maximum likelihood ensemble filter (MLEF) method is applied due to its advantages for applications to large-scale, nonlinear dynamical systems. The data assimilation impact on the predictability is firstly investigated using the three-dimensional non-premixed Methane-Oxygen flame in a double-shear layer flow configuration. The methodology is then tested for the predictability of flow dynamics structures in a two-dimensional bluff-body geometry. The initial results are encouraging, and data assimilation demonstrates a promising improvement for CFD modeling of complex fluid dynamics in a realistic geometry. Future workwill focus on its application to three-dimensional turbulent flows. |
| File Format | PDF HTM / HTML |
| DOI | 10.2514/6.2020-0352 |
| Alternate Webpage(s) | http://cfdlab.colostate.edu/wp-content/uploads/publications/2020/YijunWangAIAA2020-0352.pdf |
| Alternate Webpage(s) | https://doi.org/10.2514/6.2020-0352 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
