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Mesh Optimization Using Dual-Weighted Error Estimators: Application to the Periodic Hill
KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW.ORCID iD: 0000-0002-1724-0188
KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. KTH, Centres, SeRC - Swedish e-Science Research Centre. KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics and Engineering Acoustics.ORCID iD: 0000-0002-7448-3290
KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. KTH, Centres, SeRC - Swedish e-Science Research Centre. KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics and Engineering Acoustics.ORCID iD: 0000-0001-9627-5903
2020 (English)In: ERCOFTAC Workshop Direct and Large Eddy Simulation, Springer , 2020, p. 397-403Conference paper, Published paper (Refereed)
Abstract [en]

Simulations have matured to be an important tool in the design and analysis of many modern industrial devices, in particular in the process, vehicle and aeronautical industries. Most of the considered flows are turbulent, for which it is impossible to perform straightforward grid-convergence studies without considering long-term statistics. Therefore, when performing simulations in computational fluid dynamics (CFD), the use of adaptive mesh refinement (AMR) is an effective strategy to increase the reliability of the solution at a reduced computational cost. Such tools allow for error control, reduced simulation time, easier mesh generation, better mesh quality and better resolution of the a priori unknown physics. In the present contribution, the design of an optimal mesh, using AMR, is investigated in Nek5000 [3], a highly scalable code based on the spectral element method (SEM) [9] and aimed at the direct numerical simulation (DNS) of the incompressible Navier–Stokes equations (further discussed in section “Numerical Method”)

Place, publisher, year, edition, pages
Springer , 2020. p. 397-403
National Category
Fluid Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-285404DOI: 10.1007/978-3-030-42822-8_52Scopus ID: 2-s2.0-85085207394OAI: oai:DiVA.org:kth-285404DiVA, id: diva2:1505143
Conference
DLES 2019: Direct and Large Eddy Simulation XII
Note

QC 20201130

Available from: 2020-11-30 Created: 2020-11-30 Last updated: 2025-02-09Bibliographically approved

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Offermans, NicolasPeplinski, AdamSchlatter, Philipp

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Linné Flow Center, FLOWSeRC - Swedish e-Science Research CentreFluid Mechanics and Engineering Acoustics
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