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Title:

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

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
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...     »
Keywords:
Bayesian Optimization; Gaussian Process; Implicit Large Eddy Simulation; Riemann Solver; Targeted ENO
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Book / Congress title:
WCCM-APCOM 2022 - 15th World Congress on Computational Mechanics and 8th Asian Pacific Congress on Computational Mechanics: Pursuing the Infinite Potential of Computational Mechanics
Congress (additional information):
15th World Congress on ComputatConference date: 31 July 2022 through 5 August 2022; Conference code: 191140
Publisher:
International Centre for Numerical Methods in Engineering, CIMNE
Year:
2022
Covered by:
Scopus
Language:
en
Fulltext / 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 Institution:
Lehrstuhl für Aerodynamik und Strömungsmechanik
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