A low-dimensional tool for predicting force decomposition coefficients for varying inflow conditions

Handle URI:
http://hdl.handle.net/10754/562539
Title:
A low-dimensional tool for predicting force decomposition coefficients for varying inflow conditions
Authors:
Ghommem, Mehdi; Akhtar, Imran; Hajj, M. R.
Abstract:
We develop a low-dimensional tool to predict the effects of unsteadiness in the inflow on force coefficients acting on a circular cylinder using proper orthogonal decomposition (POD) modes from steady flow simulations. The approach is based on combining POD and linear stochastic estimator (LSE) techniques. We use POD to derive a reduced-order model (ROM) to reconstruct the velocity field. To overcome the difficulty of developing a ROM using Poisson's equation, we relate the pressure field to the velocity field through a mapping function based on LSE. The use of this approach to derive force decomposition coefficients (FDCs) under unsteady mean flow from basis functions of the steady flow is illustrated. For both steady and unsteady cases, the final outcome is a representation of the lift and drag coefficients in terms of velocity and pressure temporal coefficients. Such a representation could serve as the basis for implementing control strategies or conducting uncertainty quantification. Copyright © 2013 Inderscience Enterprises Ltd.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Publisher:
Inderscience
Journal:
Progress in Computational Fluid Dynamics
Issue Date:
2013
DOI:
10.1504/PCFD.2013.057101
Type:
Article
ISSN:
14684349
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorGhommem, Mehdien
dc.contributor.authorAkhtar, Imranen
dc.contributor.authorHajj, M. R.en
dc.date.accessioned2015-08-03T10:41:52Zen
dc.date.available2015-08-03T10:41:52Zen
dc.date.issued2013en
dc.identifier.issn14684349en
dc.identifier.doi10.1504/PCFD.2013.057101en
dc.identifier.urihttp://hdl.handle.net/10754/562539en
dc.description.abstractWe develop a low-dimensional tool to predict the effects of unsteadiness in the inflow on force coefficients acting on a circular cylinder using proper orthogonal decomposition (POD) modes from steady flow simulations. The approach is based on combining POD and linear stochastic estimator (LSE) techniques. We use POD to derive a reduced-order model (ROM) to reconstruct the velocity field. To overcome the difficulty of developing a ROM using Poisson's equation, we relate the pressure field to the velocity field through a mapping function based on LSE. The use of this approach to derive force decomposition coefficients (FDCs) under unsteady mean flow from basis functions of the steady flow is illustrated. For both steady and unsteady cases, the final outcome is a representation of the lift and drag coefficients in terms of velocity and pressure temporal coefficients. Such a representation could serve as the basis for implementing control strategies or conducting uncertainty quantification. Copyright © 2013 Inderscience Enterprises Ltd.en
dc.publisherInderscienceen
dc.subjectFDCen
dc.subjectForce decomposition coefficienten
dc.subjectLinear stochastic estimatoren
dc.subjectLSEen
dc.subjectPODen
dc.subjectProper orthogonal decompositionen
dc.subjectReduced-order modellingen
dc.subjectUnsteady inflowen
dc.titleA low-dimensional tool for predicting force decomposition coefficients for varying inflow conditionsen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalProgress in Computational Fluid Dynamicsen
dc.contributor.institutionDepartment of Mechanical Engineering, NUST College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, 44000, Pakistanen
dc.contributor.institutionDepartment of Engineering Science and Mechanics, Virginia Tech, Blacksburg, VA 24061, United Statesen
kaust.authorGhommem, Mehdien
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