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Chapelier, J.-B. and Lodato, G. 2016. A spectral-element dynamic model for the Large-Eddy simulation of turbulent flows. Journal of Computational Physics, Vol. 321, p. 279.
El-Asrag, Hossam A. Braun, Markus and Masri, Assaad R. 2016. Large eddy simulations of partially premixed ethanol dilute spray flames using the flamelet generated manifold model. Combustion Theory and Modelling, Vol. 20, Issue. 4, p. 567.
Farcy, Benjamin Vervisch, Luc and Domingo, Pascale 2016. Large eddy simulation of selective non-catalytic reduction (SNCR): A downsizing procedure for simulating nitric-oxide reduction units. Chemical Engineering Science, Vol. 139, p. 285.
Farcy, Benjamin Vervisch, Luc Domingo, Pascale and Perret, Nicolas 2016. Reduced-order modeling for the control of selective noncatalytic reduction of nitrogen monoxide. AIChE Journal, Vol. 62, Issue. 3, p. 928.
Jiao, Jianying and Zhang, Ye 2016. Multiscale subgrid models of large eddy simulation for turbulent flows. International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 26, Issue. 5, p. 1380.
Khani, Sina and Waite, Michael L. 2016. Backscatter in stratified turbulence. European Journal of Mechanics - B/Fluids, Vol. 60, p. 1.
Li, Yanan and Wang, Z.J. 2016. A priori and a posteriori evaluations of sub-grid scale models for the Burgers’ equation. Computers & Fluids,
Miller, Richard S. and Foster, Justin W. 2016. Survey of Turbulent Combustion Models for Large-Eddy Simulations of Propulsive Flowfields. AIAA Journal, p. 1.
Oberai, Assad A. and Hughes, Thomas J. R. 2016. A palette of fine-scale eddy viscosity and residual-based models for variational multiscale formulations of turbulence. Computational Mechanics, Vol. 57, Issue. 4, p. 629.
San, O. 2016. Analysis of low-pass filters for approximate deconvolution closure modelling in one-dimensional decaying Burgers turbulence. International Journal of Computational Fluid Dynamics, Vol. 30, Issue. 1, p. 20.
Schiffmann, P. Gupta, S. Reuss, D. Sick, V. Yang, X. and Kuo, T.-W. 2016. TCC-III Engine Benchmark for Large-Eddy Simulation of IC Engine Flows. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles, Vol. 71, Issue. 1, p. 3.
Taghinia, Javad Rahman, Md Mizanur and Tse, Tim K.T. 2016. Assessment of zero-equation SGS models for simulating indoor environment. Heat and Mass Transfer,
Argyropoulos, C.D. and Markatos, N.C. 2015. Recent advances on the numerical modelling of turbulent flows. Applied Mathematical Modelling, Vol. 39, Issue. 2, p. 693.
Blazek, Jiri 2015. Computational Fluid Dynamics: Principles and Applications.
Chen, Shiyi Xia, Zhenhua Wang, Jianchun and Yang, Yantao 2015. Recent progress in compressible turbulence. Acta Mechanica Sinica, Vol. 31, Issue. 3, p. 275.
In a previous paper, Germano, et al. (1991) proposed a method for computing coefficients of subgrid-scale eddy viscosity models as a function of space and time. This procedure has the distinct advantage of being self-calibrating and requires no a priori specification of model coefficients or the use of wall damping functions. However, the original formulation contained some mathematical inconsistencies that limited the utility of the model. In particular, the applicability of the model was restricted to flows that are statistically homogeneous in at least one direction. These inconsistencies and limitations are discussed and a new formulation that rectifies them is proposed. The new formulation leads to an integral equation whose solution yields the model coefficient as a function of position and time. The method can be applied to general inhomogeneous flows and does not suffer from the mathematical inconsistencies inherent in the previous formulation. The model has been tested in isotropic turbulence and in the flow over a backward-facing step.
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