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Titel:

BAYESIAN OPTIMIZATION ON FIFTH-ORDER TARGETED ENO SCHEME FOR COMPRESSIBLE FLOWS

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Feng, Yiqi; Schranner, Felix S.; Winter, Josef; Adams, Nikolaus A.
Abstract:
Targeted ENO (TENO) has been proposed to overcome the shortcomings of WENO schemes, namely excessive dissipation of lower-order upwind-biased and degenerated schemes, and limited robustness of central-biased schemes. TENO offers a set of free parameters to shape the inherent effective local dissipation and dispersion. In the original formulation of TENO, these free parameters have been adjusting by means of the approximate dissipation-dispersion relation. Hence, the TENO formulation may be super...     »
Stichworte:
Bayesian Optimization; Gaussian Process; Implicit Large Eddy Simulation; Riemann Solver; Targeted ENO
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften
Kongress- / Buchtitel:
WCCM-APCOM 2022 - 15th World Congress on Computational Mechanics and 8th Asian Pacific Congress on Computational Mechanics: Pursuing the Infinite Potential of Computational Mechanics
Kongress / Zusatzinformationen:
15th World Congress on ComputatConference date: 31 July 2022 through 5 August 2022; Conference code: 191140
Verlag / Institution:
International Centre for Numerical Methods in Engineering, CIMNE
Jahr:
2022
Nachgewiesen in:
Scopus
Sprache:
en
Volltext / DOI:
doi:DOI: 10.23967/wccm-apcom.2022.024
WWW:
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168557895&partnerID=40&md5=610d0574b9b586d51e011c7fd495b947
TUM Einrichtung:
Lehrstuhl für Aerodynamik und Strömungsmechanik
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