Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Schmelzer Martin"'
Publikováno v:
Acta Acustica, Vol 5, p 13 (2021)
The dynamic stiffness of underlays is a required quantity to predict the reduction of impact and airborne noise transmitted through floating floors. The measurement of the dynamic stiffness is standardized in ISO 9052–1 using a floating floor secti
Externí odkaz:
https://doaj.org/article/2202dd25cde74afb9986f1fd7959fff3
In this short note we apply the recently proposed data-driven RANS closure modelling framework of Schmelzer et al. (2020) to fully three-dimensional, high Reynolds number flows: namely wall-mounted cubes and cuboids at Re=40,000, and a cylinder at Re
Externí odkaz:
http://arxiv.org/abs/2010.11831
Autor:
Zhang, Yu, Dwight, Richard P., Schmelzer, Martin, Gomez, Javier F., Hickel, Stefan, Han, Zhong-hua
Publikováno v:
Journal of Computational Physics 2021
Multi-fidelity optimization methods promise a high-fidelity optimum at a cost only slightly greater than a low-fidelity optimization. This promise is seldom achieved in practice, due to the requirement that low- and high-fidelity models correlate wel
Externí odkaz:
http://arxiv.org/abs/2004.03003
Publikováno v:
Flow, Turbulence and Combustion 104, 579-603 (2020)
** This article is published (open-access). ** A novel deterministic symbolic regression method SpaRTA (Sparse Regression of Turbulent Stress Anisotropy) is introduced to infer algebraic stress models for the closure of RANS equations directly from h
Externí odkaz:
http://arxiv.org/abs/1905.07510
A multilevel Monte Carlo (MLMC) method for quantifying model-form uncertainties associated with the Reynolds-Averaged Navier-Stokes (RANS) simulations is presented. Two, high-dimensional, stochastic extensions of the RANS equations are considered to
Externí odkaz:
http://arxiv.org/abs/1811.00872
Publikováno v:
In Journal of Computational Physics 15 May 2022 457
Autor:
Zhang, Yu, Dwight, Richard P., Schmelzer, Martin, Gómez, Javier F., Han, Zhong-hua, Hickel, Stefan
Publikováno v:
In Journal of Computational Physics 1 May 2021 432
Publikováno v:
In Computers and Fluids 15 April 2020 201
Akademický článek
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Publikováno v:
In Computers and Fluids 15 July 2021 225