Zobrazeno 1 - 10 of 22 pro vyhledávání: '"Philipp Bekemeyer"'
1
Akademický článek
Multi-Fidelity Adaptive Sampling for Surrogate-Based Optimization and Uncertainty Quantification
Autor: Andrea Garbo, Jigar Parekh, Tilo Rischmann, Philipp Bekemeyer
Publikováno v: Aerospace, Vol 11, Iss 6, p 448 (2024)
Surrogate-based algorithms are indispensable in the aerospace engineering field for reducing the computational cost of optimization and uncertainty quantification analyses, particularly those involving computationally intensive solvers. This paper pr
Externí odkaz: https://doaj.org/article/c1d27a1d48b8453e9b43c6e82bb596ad
Zobrazit plný text záznamu
2
Akademický článek
Analysis of Surrogate Models for Vapour Transport and Distribution in a Hollow Fibre Membrane Humidifier
Autor: Markus Pollak, Philipp Bekemeyer, Nicholas Lemke, Wilhelm Tegethoff, Juergen Koehler
Publikováno v: Energies, Vol 16, Iss 6, p 2578 (2023)
To achieve high efficiency and low degradation of a polymer electrolyte fuel cell (PEMFC), it is necessary to maintain an appropriate level of humidification in the fuel cell membrane. Thus, membrane humidifiers are typically used in PEMFC systems. P
Externí odkaz: https://doaj.org/article/a53627aae3584b6ca7bc2d2fb66d4e4f
Zobrazit plný text záznamu
7
Data-driven Bayesian inference of turbulence model closure coefficients incorporating epistemic uncertainty
Autor: Daigo Maruyama, Philipp Bekemeyer, Stefan Görtz, Simon Coggon, Sanjiv Sharma
We introduce a framework for statistical inference of the closure coefficients using machine learning methods. The objective of this framework is to quantify the epistemic uncertainty associated with the closure model by using experimental data via B
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f475aa1716bb24f248bd55fd778c19f
https://elib.dlr.de/186003/
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje