Towards adaptive mesh refinement for the spectral element solver Nek5000

N. Offermans, A. Peplinski, O. Marin, Paul Fischer, P. Schlatter

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

When performing computational fluid dynamics (CFD) simulations of complex flows, the a priori knowledge of the flow physics and the location of the dominant flow features are usually unknown. For this reason, the development of adaptive remeshing techniques is crucial for large-scale computational problems. Some work has been made recently to provide Nek5000 with adaptive mesh refinement (AMR) capabilities in order to facilitate the generation of the grid and push forward the limit in terms of problem size and complexity [10].

Original languageEnglish (US)
Title of host publicationERCOFTAC Series
PublisherSpringer
Pages9-15
Number of pages7
DOIs
StatePublished - Jan 1 2019

Publication series

NameERCOFTAC Series
Volume25
ISSN (Print)1382-4309
ISSN (Electronic)2215-1826

Fingerprint

Spectral Elements
Adaptive Mesh Refinement
Computational fluid dynamics
Physics
Computer simulation
Adaptive Remeshing
Computational Fluid Dynamics
Dynamic Simulation
Grid
Unknown

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Computational Mathematics

Cite this

Offermans, N., Peplinski, A., Marin, O., Fischer, P., & Schlatter, P. (2019). Towards adaptive mesh refinement for the spectral element solver Nek5000. In ERCOFTAC Series (pp. 9-15). (ERCOFTAC Series; Vol. 25). Springer. https://doi.org/10.1007/978-3-030-04915-7_2

Towards adaptive mesh refinement for the spectral element solver Nek5000. / Offermans, N.; Peplinski, A.; Marin, O.; Fischer, Paul; Schlatter, P.

ERCOFTAC Series. Springer, 2019. p. 9-15 (ERCOFTAC Series; Vol. 25).

Research output: Chapter in Book/Report/Conference proceedingChapter

Offermans, N, Peplinski, A, Marin, O, Fischer, P & Schlatter, P 2019, Towards adaptive mesh refinement for the spectral element solver Nek5000. in ERCOFTAC Series. ERCOFTAC Series, vol. 25, Springer, pp. 9-15. https://doi.org/10.1007/978-3-030-04915-7_2
Offermans N, Peplinski A, Marin O, Fischer P, Schlatter P. Towards adaptive mesh refinement for the spectral element solver Nek5000. In ERCOFTAC Series. Springer. 2019. p. 9-15. (ERCOFTAC Series). https://doi.org/10.1007/978-3-030-04915-7_2
Offermans, N. ; Peplinski, A. ; Marin, O. ; Fischer, Paul ; Schlatter, P. / Towards adaptive mesh refinement for the spectral element solver Nek5000. ERCOFTAC Series. Springer, 2019. pp. 9-15 (ERCOFTAC Series).
@inbook{0911652ac59a4d4da45f55b628b5f4da,
title = "Towards adaptive mesh refinement for the spectral element solver Nek5000",
abstract = "When performing computational fluid dynamics (CFD) simulations of complex flows, the a priori knowledge of the flow physics and the location of the dominant flow features are usually unknown. For this reason, the development of adaptive remeshing techniques is crucial for large-scale computational problems. Some work has been made recently to provide Nek5000 with adaptive mesh refinement (AMR) capabilities in order to facilitate the generation of the grid and push forward the limit in terms of problem size and complexity [10].",
author = "N. Offermans and A. Peplinski and O. Marin and Paul Fischer and P. Schlatter",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-3-030-04915-7_2",
language = "English (US)",
series = "ERCOFTAC Series",
publisher = "Springer",
pages = "9--15",
booktitle = "ERCOFTAC Series",

}

TY - CHAP

T1 - Towards adaptive mesh refinement for the spectral element solver Nek5000

AU - Offermans, N.

AU - Peplinski, A.

AU - Marin, O.

AU - Fischer, Paul

AU - Schlatter, P.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - When performing computational fluid dynamics (CFD) simulations of complex flows, the a priori knowledge of the flow physics and the location of the dominant flow features are usually unknown. For this reason, the development of adaptive remeshing techniques is crucial for large-scale computational problems. Some work has been made recently to provide Nek5000 with adaptive mesh refinement (AMR) capabilities in order to facilitate the generation of the grid and push forward the limit in terms of problem size and complexity [10].

AB - When performing computational fluid dynamics (CFD) simulations of complex flows, the a priori knowledge of the flow physics and the location of the dominant flow features are usually unknown. For this reason, the development of adaptive remeshing techniques is crucial for large-scale computational problems. Some work has been made recently to provide Nek5000 with adaptive mesh refinement (AMR) capabilities in order to facilitate the generation of the grid and push forward the limit in terms of problem size and complexity [10].

UR - http://www.scopus.com/inward/record.url?scp=85061343618&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85061343618&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-04915-7_2

DO - 10.1007/978-3-030-04915-7_2

M3 - Chapter

AN - SCOPUS:85061343618

T3 - ERCOFTAC Series

SP - 9

EP - 15

BT - ERCOFTAC Series

PB - Springer

ER -