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Title:

A six-point shock-capturing scheme with neural network

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Li, Yue; Fu, Lin; Adams, Nikolaus A.
Abstract:
A recent study of low-dissipation shock-capturing scheme [Fu et al., Journal of Computational Physics 305 (2016): 333-359] proposed a nonlinear sharp selection function to remove the contributions of candidate stencils containing discontinuities from the final reconstruction. In this paper, we train a neural network to replace this empirical level nonlinear selection function in the six-order TENO6-opt scheme. The performance and robustness of the neuron-based six-point scheme are demonstrated w...     »
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Book / Congress title:
AIP Conference Proceedings
Publisher:
AIP Publishing
Date of publication:
01.01.2023
Year:
2023
Covered by:
Scopus
Language:
en
Fulltext / DOI:
doi:10.1063/5.0162506
Notes:
Funding text The first author is partially supported by China Scholarship Council (NO. 201706290041). Lin Fu acknowledges the fund from Shenzhen Municipal Central Government Guides Local Science and Technology Development Special Funds Funded Projects (NO. 2021Szvup138).
TUM Institution:
Lehrstuhl für Aerodynamik und Strömungsmechanik
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