Abstract
In this article we describe a new approach for the construction of implicit subgridscale models for Large-Eddy Simulation based on adaptive local deconvolution. An approximation of the unfiltered solution is obtained from a quasilinear combination of local interpolation polynomials. The effective subgrid-scale model can be determined by a modified differential equation analysis. Model parameters are found by evolutionary optimization. Computational results for the stochastically forced Burgers equation show that the proposed model gives significantly better results than other implicit subgrid-scale models.
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References
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Adams, N.A. (2004). Implicit Subgrid-Scale Modeling by Adaptive Local Deconvolution. In: Friedrich, R., Geurts, B.J., Métais, O. (eds) Direct and Large-Eddy Simulation V. ERCOFTAC Series, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-2313-2_2
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DOI: https://doi.org/10.1007/978-1-4020-2313-2_2
Publisher Name: Springer, Dordrecht
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