Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Martin Schmelzer"'
Reynolds-stress models (EARSM) from high-fidelity data is developed building on the frozen-training SpaRTA algorithm of [1]. Corrections for the Reynolds stress tensor and the production of transported turbulent quantities of a baseline linear eddy v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a1056e61f43362c608f8321b6622eb8
https://hdl.handle.net/10985/23745
https://hdl.handle.net/10985/23745
Publikováno v:
Acta Acustica united with Acustica. 105:426-434
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5852a3a2acfb228705667b4ce5798cd9
https://doi.org/10.3813/aaa.919325
https://doi.org/10.3813/aaa.919325
Publikováno v:
Computers & Fluids, 225
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::538d3723d50ee658e0355508aef3bb4f
http://resolver.tudelft.nl/uuid:91052a1f-7b05-429e-aa51-3631e99c4f1b
http://resolver.tudelft.nl/uuid:91052a1f-7b05-429e-aa51-3631e99c4f1b
Autor:
Bettina Berger, Andrea Baumann, Diana Köblös, Johannes Simstich, Rainer Stange, Ekkehart Jenetzky, David D. Martin, Andreas Michalsen, Kurt-Martin Schmelzer
Publikováno v:
Nutrition (Burbank, Los Angeles County, Calif.). 86
Objectives Intermittent as well as prolonged fasting are receiving considerable attention and appear favorable in conditions such as metabolic syndrome, type 2 diabetes, and rheumatic diseases. Fasting for individuals with type 1 diabetes (T1D) is ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b32771976f5ce85f3fdbcad8005836a
https://pubmed.ncbi.nlm.nih.gov/33636417
https://pubmed.ncbi.nlm.nih.gov/33636417
Publikováno v:
Building Acoustics. 26:21-34
The loss factor is often determined in building acoustics by measuring the structure-borne reverberation time. To do this, elements under test are excited either by a hammer or by a shaker. In several experiments with sand-lime brick walls, measured
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fda18aec1a37ed4d161fc9e74296bee
https://doi.org/10.1177/1351010x18819062
https://doi.org/10.1177/1351010x18819062
Publikováno v:
Journal of Computational Physics, 432
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29435663231213b93a7fe995f2d300f0
https://doi.org/10.1016/j.jcp.2021.110153
https://doi.org/10.1016/j.jcp.2021.110153
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9dda379ce1cbc8fd658922118f0e228
https://doi.org/10.1051/aacus/2021004
https://doi.org/10.1051/aacus/2021004
Publikováno v:
Computers & Fluids, 201
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ba887ad303f1d2d80b64c3521fa58f5
https://doi.org/10.1016/j.compfluid.2019.104420
https://doi.org/10.1016/j.compfluid.2019.104420
Publikováno v:
Uncertainty Management for Robust Industrial Design in Aeronautics ISBN: 9783319777665
Uncertainties are present in any engineering task. If the predicted result of a numerical simulation agrees with test results or operational data, then uncertainties are typically ignored or simply not even recognized. In case of disagreement, they o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55412daff108741c0ed24f19f367f78a
https://doi.org/10.1007/978-3-319-77767-2_41
https://doi.org/10.1007/978-3-319-77767-2_41
Estimation of Model Error Using Bayesian Model-Scenario Averaging with Maximum a Posterori-Estimates
Publikováno v:
Uncertainty Management for Robust Industrial Design in Aeronautics ISBN: 9783319777665
Uncertainty Management for Robust Industrial Design in Aeronautics
Uncertainty Management for Robust Industrial Design in Aeronautics, Springer International Publishing, pp.53-69, 2018, 978-3-319-77767-2. ⟨10.1007/978-3-319-77767-2_4⟩
Uncertainty Management for Robust Industrial Design in Aeronautics
Uncertainty Management for Robust Industrial Design in Aeronautics, Springer International Publishing, pp.53-69, 2018, 978-3-319-77767-2. ⟨10.1007/978-3-319-77767-2_4⟩
International audience; The lack of an universal modelling approach for turbulence in Reynolds-Averaged Navier–Stokes simulations creates the need for quantifying the modelling error without additional validation data. Bayesian Model-Scenario Avera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7afeed75e28a2a94d38d750d48b0b550
https://doi.org/10.1007/978-3-319-77767-2_4
https://doi.org/10.1007/978-3-319-77767-2_4