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dc.contributor.authorGhommem, Mehdi
dc.contributor.authorAkhtar, Imran
dc.contributor.authorHajj, M. R.
dc.date.accessioned2015-08-03T10:41:52Z
dc.date.available2015-08-03T10:41:52Z
dc.date.issued2013
dc.identifier.citationGhommem, M., Akhtar, I., & Hajj, M. R. (2013). A low-dimensional tool for predicting force decomposition coefficients for varying inflow conditions. Progress in Computational Fluid Dynamics, An International Journal, 13(6), 368. doi:10.1504/pcfd.2013.057101
dc.identifier.issn14684349
dc.identifier.doi10.1504/PCFD.2013.057101
dc.identifier.urihttp://hdl.handle.net/10754/562539
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.
dc.publisherInderscience Publishers
dc.subjectFDC
dc.subjectForce decomposition coefficient
dc.subjectLinear stochastic estimator
dc.subjectLSE
dc.subjectPOD
dc.subjectProper orthogonal decomposition
dc.subjectReduced-order modelling
dc.subjectUnsteady inflow
dc.titleA low-dimensional tool for predicting force decomposition coefficients for varying inflow conditions
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalProgress in Computational Fluid Dynamics, An International Journal
dc.contributor.institutionDepartment of Mechanical Engineering, NUST College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, 44000, Pakistan
dc.contributor.institutionDepartment of Engineering Science and Mechanics, Virginia Tech, Blacksburg, VA 24061, United States
kaust.personGhommem, Mehdi


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