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Titel:

A general multi-objective Bayesian optimization framework for the design of hybrid schemes towards adaptive complex flow simulations

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Feng, Yiqi; Winter, Josef; Adams, Nikolaus A.; Schranner, Felix S.
Abstract:
Achieving accuracy with underresolved simulation of complex compressible flows with multiscale flow structures is a challenge. Either the numerical dissipation or the resolution and thereby the numerical cost is impractically high. Also, in the design of numerical solvers, the application of a solver for specific flow classes is balanced by robustness allowing the study of a broad range of flows. In this study, we propose a hybrid fifth-order targeted essentially non-oscillatory (TENO5)-based sc...     »
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften
Zeitschriftentitel:
Journal of Computational Physics
Jahr:
2024
Band / Volume:
510
Seitenangaben Beitrag:
113088
Nachgewiesen in:
Scopus
Sprache:
en
Volltext / DOI:
doi:10.1016/j.jcp.2024.113088
WWW:
https://www.sciencedirect.com/science/article/pii/S0021999124003371
Verlag / Institution:
Elsevier BV
E-ISSN:
0021-9991
Hinweise:
Funding text Yiqi Feng and Nikolaus A. Adams acknowledge funding from the European Research Council (ERC) under the European Union's Horizon Europe research and innovation programme (Project No. 101094463).
Eingereicht (bei Zeitschrift):
05.02.2024
Angenommen (von Zeitschrift):
04.05.2024
Publikationsdatum:
01.08.2024
TUM Einrichtung:
Lehrstuhl für Aerodynamik und Strömungsmechanik
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