Parametric reduced-order model approach for simulation and optimization of aeroelastic systems with structural nonlinearities

Michele Castellani; Yves Lemmens; Jonathan Cooper

doi:10.1177/0954410015608888

Parametric reduced-order model approach for simulation and optimization of aeroelastic systems with structural nonlinearities

Michele Castellani, Yves Lemmens, Jonathan Cooper

Research output: Contribution to journal › Article (Academic Journal) › peer-review

9 Citations (Scopus)

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Abstract

A method based on parametric reduced-order models to efficiently predict the transient response of aeroelastic systems with concentrated structural nonlinearities is presented. The approach approximates the nonlinear response in a piecewise-linear manner through time integration of sub-linear reduced-order models; these are parameterized with respect to the nonlinearity and are efficiently obtained by balanced truncation and interpolation. The procedure is applied to the optimization of a wing tip device for passive loads alleviation which features a nonlinear stiffness, showing the effectiveness and efficiency of the methodology.

Original language	English
Pages (from-to)	1359-1370
Number of pages	12
Journal	Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
Volume	230
Issue number	8
Early online date	8 Oct 2015
DOIs	https://doi.org/10.1177/0954410015608888
Publication status	Published - Jun 2016

Research Groups and Themes

ALPES

Keywords

Aircraft loads
aeroelastic response
structural nonlinearities
load alleviation
adaptive wing tip
parametric reduced-order model

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10.1177/0954410015608888

Full-text PDF (accepted author manuscript)
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Saqe at http://pig.sagepub.com/content/230/8/1359. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 994 KB

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Castellani, M. (Researcher), Castrichini, A. (Researcher), Gaitonde, A. L. (Co-Principal Investigator), Jones, D. P. (Co-Principal Investigator), Lowenberg , M. H. (Co-Principal Investigator), Poncet-Montanges, A. P. (Researcher), Tartaruga, I. (Researcher), Valente, C. (Researcher) & Cooper, J. E. (Principal Investigator)
1/10/13 → 30/09/17
Project: Research

Cite this

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title = "Parametric reduced-order model approach for simulation and optimization of aeroelastic systems with structural nonlinearities",

abstract = "A method based on parametric reduced-order models to efficiently predict the transient response of aeroelastic systems with concentrated structural nonlinearities is presented. The approach approximates the nonlinear response in a piecewise-linear manner through time integration of sub-linear reduced-order models; these are parameterized with respect to the nonlinearity and are efficiently obtained by balanced truncation and interpolation. The procedure is applied to the optimization of a wing tip device for passive loads alleviation which features a nonlinear stiffness, showing the effectiveness and efficiency of the methodology.",

keywords = "Aircraft loads, aeroelastic response, structural nonlinearities, load alleviation, adaptive wing tip, parametric reduced-order model",

author = "Michele Castellani and Yves Lemmens and Jonathan Cooper",

year = "2016",

month = jun,

doi = "10.1177/0954410015608888",

language = "English",

volume = "230",

pages = "1359--1370",

journal = "Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering",

issn = "0954-4100",

publisher = "SAGE Publications Ltd",

number = "8",

}

Parametric reduced-order model approach for simulation and optimization of aeroelastic systems with structural nonlinearities. / Castellani, Michele; Lemmens, Yves; Cooper, Jonathan.
In: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Vol. 230, No. 8, 06.2016, p. 1359-1370.

Research output: Contribution to journal › Article (Academic Journal) › peer-review

TY - JOUR

T1 - Parametric reduced-order model approach for simulation and optimization of aeroelastic systems with structural nonlinearities

AU - Castellani, Michele

AU - Lemmens, Yves

AU - Cooper, Jonathan

PY - 2016/6

Y1 - 2016/6

N2 - A method based on parametric reduced-order models to efficiently predict the transient response of aeroelastic systems with concentrated structural nonlinearities is presented. The approach approximates the nonlinear response in a piecewise-linear manner through time integration of sub-linear reduced-order models; these are parameterized with respect to the nonlinearity and are efficiently obtained by balanced truncation and interpolation. The procedure is applied to the optimization of a wing tip device for passive loads alleviation which features a nonlinear stiffness, showing the effectiveness and efficiency of the methodology.

AB - A method based on parametric reduced-order models to efficiently predict the transient response of aeroelastic systems with concentrated structural nonlinearities is presented. The approach approximates the nonlinear response in a piecewise-linear manner through time integration of sub-linear reduced-order models; these are parameterized with respect to the nonlinearity and are efficiently obtained by balanced truncation and interpolation. The procedure is applied to the optimization of a wing tip device for passive loads alleviation which features a nonlinear stiffness, showing the effectiveness and efficiency of the methodology.

KW - Aircraft loads

KW - aeroelastic response

KW - structural nonlinearities

KW - load alleviation

KW - adaptive wing tip

KW - parametric reduced-order model

U2 - 10.1177/0954410015608888

DO - 10.1177/0954410015608888

M3 - Article (Academic Journal)

SN - 0954-4100

VL - 230

SP - 1359

EP - 1370

JO - Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

JF - Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

IS - 8

ER -

Parametric reduced-order model approach for simulation and optimization of aeroelastic systems with structural nonlinearities

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