Development of regularization modeling and error-control in large-eddy simulation

Bernardus J. Geurts

Development of regularization modeling and error-control in large-eddy simulation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Numerical simulation is developing into a viable research-tool to help understand dispersion and structure in turbulence. In order to make progress toward simulating flows under realistic flow-conditions and in complex flow-domains, large-eddy simulation appears an essential stepping-stone. This requires a combination of accurate numerical treatment and proper (subgrid) modeling of the dynamic effects of small-scale turbulence. It will be shown that accurate subgrid models may be systematically derived from mathematical regularization principles. This will be illustrated for the Leray and \mbox{NS-$\alpha$} models. Moreover, a database analysis of interacting modeling and simulation errors in large-eddy simulation will be discussed in terms of error-landscapes. The optimality of the dynamic procedure will be quantified and a new inverse polynomial interpolation method will be proposed with which model parameters can be optimized to approximate the `optimal refinement strategy'.

Original language	Undefined
Title of host publication	Whither Turbulence Prediction and Control (WTPC)
Editors	H. Choi
Place of Publication	Seoul
Publisher	American Physical Society
Pages	-
Number of pages	2
ISBN (Print)	not assigned
Publication status	Published - 2006

Publication series

Name
Publisher	Seoul National University
Number	11

Keywords

EWI-9028
METIS-238750
IR-66868

Access to Document

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Cite this

@inproceedings{d74a2bba476e4e15b04f5bdfffb6b4bd,

title = "Development of regularization modeling and error-control in large-eddy simulation",

abstract = "Numerical simulation is developing into a viable research-tool to help understand dispersion and structure in turbulence. In order to make progress toward simulating flows under realistic flow-conditions and in complex flow-domains, large-eddy simulation appears an essential stepping-stone. This requires a combination of accurate numerical treatment and proper (subgrid) modeling of the dynamic effects of small-scale turbulence. It will be shown that accurate subgrid models may be systematically derived from mathematical regularization principles. This will be illustrated for the Leray and \mbox{NS-$\alpha$} models. Moreover, a database analysis of interacting modeling and simulation errors in large-eddy simulation will be discussed in terms of error-landscapes. The optimality of the dynamic procedure will be quantified and a new inverse polynomial interpolation method will be proposed with which model parameters can be optimized to approximate the `optimal refinement strategy'.",

keywords = "EWI-9028, METIS-238750, IR-66868",

author = "Geurts, {Bernardus J.}",

note = "Homepage workshop: http://wtpc.snu.ac.kr/",

year = "2006",

language = "Undefined",

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publisher = "American Physical Society",

number = "11",

pages = "--",

editor = "H. Choi",

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}

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T1 - Development of regularization modeling and error-control in large-eddy simulation

AU - Geurts, Bernardus J.

N1 - Homepage workshop: http://wtpc.snu.ac.kr/

PY - 2006

Y1 - 2006

N2 - Numerical simulation is developing into a viable research-tool to help understand dispersion and structure in turbulence. In order to make progress toward simulating flows under realistic flow-conditions and in complex flow-domains, large-eddy simulation appears an essential stepping-stone. This requires a combination of accurate numerical treatment and proper (subgrid) modeling of the dynamic effects of small-scale turbulence. It will be shown that accurate subgrid models may be systematically derived from mathematical regularization principles. This will be illustrated for the Leray and \mbox{NS-$\alpha$} models. Moreover, a database analysis of interacting modeling and simulation errors in large-eddy simulation will be discussed in terms of error-landscapes. The optimality of the dynamic procedure will be quantified and a new inverse polynomial interpolation method will be proposed with which model parameters can be optimized to approximate the `optimal refinement strategy'.

AB - Numerical simulation is developing into a viable research-tool to help understand dispersion and structure in turbulence. In order to make progress toward simulating flows under realistic flow-conditions and in complex flow-domains, large-eddy simulation appears an essential stepping-stone. This requires a combination of accurate numerical treatment and proper (subgrid) modeling of the dynamic effects of small-scale turbulence. It will be shown that accurate subgrid models may be systematically derived from mathematical regularization principles. This will be illustrated for the Leray and \mbox{NS-$\alpha$} models. Moreover, a database analysis of interacting modeling and simulation errors in large-eddy simulation will be discussed in terms of error-landscapes. The optimality of the dynamic procedure will be quantified and a new inverse polynomial interpolation method will be proposed with which model parameters can be optimized to approximate the `optimal refinement strategy'.

KW - EWI-9028

KW - METIS-238750

KW - IR-66868

M3 - Conference contribution

SN - not assigned

SP - -

BT - Whither Turbulence Prediction and Control (WTPC)

A2 - Choi, H.

PB - American Physical Society

CY - Seoul

ER -