2 citations · 2 across the 7 of their papers we have counts for
7 papers
Numerical analysis of data assimilation for slightly compressible flow
Aytekin Çıbık, Rui Fang
Continuous data assimilation improves flow predictions by continually nudging a model toward available observational data. For slightly compressible flow, a recent model addresses…
Data assimilation for slightly compressible flow
Aytekin Çıbık, Rui Fang
Continuous data assimilation (CDA) nudges observational data into governing equations to recover the underlying flow and improve predictions. Existing rigorous CDA analyses focus p…
Modular data assimilation for flow prediction
Aytekin Çıbık, Rui Fang, William Layton
This report develops several modular, 2-step realizations (inspired by Kalman filter algorithms) of nudging-based data assimilation $$Step \ 1 \quad \frac{\widetilde {v}^{n+1}-v^{n…
Data assimilation with model errors
Aytekin Çibik, Rui Fang, William Layton +1
Nudging is a data assimilation method amenable to both analysis and implementation. It also has the (reported) advantage of being insensitive to model errors compared to other assi…
Adaptive Parameter Selection in Nudging Based Data Assimilation
Aytekin Çıbık, Rui Fang, William Layton +1
Data assimilation combines (imperfect) knowledge of a flow's physical laws with (noisy, time-lagged, and otherwise imperfect) observations to produce a more accurate prediction of…
Numerical analysis of a 1/2-equation model of turbulence
Wei-Wei Han, Rui Fang, William Layton
The recent 1/2-equation model of turbulence is a simplification of the standard Kolmogorov-Prandtl 1-equation URANS model. Surprisingly, initial numerical tests indicated that the…
On a 1/2-equation model of turbulence
Rui Fang, Weiwei Han, William Layton
In 1-equation URANS models of turbulence the eddy viscosity is given by . The length scale must be pre-specified and is determined by s…