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Bottom up surrogate based approach for stochastic frequency response analysis of laminated composite plates

Bottom up surrogate based approach for stochastic frequency response analysis of laminated composite plates
Bottom up surrogate based approach for stochastic frequency response analysis of laminated composite plates

This paper presents an efficient uncertainty quantification (UQ) scheme for frequency responses of laminated composite plates. A bottom up surrogate based approach is employed to quantify the variability in free vibration responses of composite cantilever plates due to uncertainty in ply orientation angle, elastic modulus and mass density. The finite element method is employed incorporating effects of transverse shear deformation based on Mindlin's theory in conjunction with a random variable approach. Parametric studies are carried out to determine the stochastic frequency response functions (SFRF) along with stochastic natural frequencies and modeshapes. In this study, a surrogate based approach using General High Dimensional Model Representations (GHDMR) is employed for achieving computational efficiency in quantifying uncertainty. Subsequently the effect of noise is investigated in GHDMR based UQ algorithm. This paper also presents an uncertainty quantification scheme using commercial finite element software (ANSYS) and thereby comparative results of stochastic natural frequencies are furnished for UQ using GHDMR approach and ANSYS.

Composite plate, Frequency response function, GHDMR, Noise, Stochastic mode shape, Uncertainty
0263-8223
712-727
Dey, S.
b026227e-70d2-47f8-bb66-b9e8ec2963f5
Mukhopadhyay, T.
2ae18ab0-7477-40ac-ae22-76face7be475
Spickenheuer, A.
389df811-710e-4360-87c2-5222e22a434e
Adhikari, S.
82960baf-916c-496e-aa85-fc7de09a1626
Heinrich, G.
cd5678ce-b918-422b-b72e-c91a5318c180
Dey, S.
b026227e-70d2-47f8-bb66-b9e8ec2963f5
Mukhopadhyay, T.
2ae18ab0-7477-40ac-ae22-76face7be475
Spickenheuer, A.
389df811-710e-4360-87c2-5222e22a434e
Adhikari, S.
82960baf-916c-496e-aa85-fc7de09a1626
Heinrich, G.
cd5678ce-b918-422b-b72e-c91a5318c180

Dey, S., Mukhopadhyay, T., Spickenheuer, A., Adhikari, S. and Heinrich, G. (2016) Bottom up surrogate based approach for stochastic frequency response analysis of laminated composite plates. Composite Structures, 140, 712-727. (doi:10.1016/j.compstruct.2016.01.039).

Record type: Article

Abstract

This paper presents an efficient uncertainty quantification (UQ) scheme for frequency responses of laminated composite plates. A bottom up surrogate based approach is employed to quantify the variability in free vibration responses of composite cantilever plates due to uncertainty in ply orientation angle, elastic modulus and mass density. The finite element method is employed incorporating effects of transverse shear deformation based on Mindlin's theory in conjunction with a random variable approach. Parametric studies are carried out to determine the stochastic frequency response functions (SFRF) along with stochastic natural frequencies and modeshapes. In this study, a surrogate based approach using General High Dimensional Model Representations (GHDMR) is employed for achieving computational efficiency in quantifying uncertainty. Subsequently the effect of noise is investigated in GHDMR based UQ algorithm. This paper also presents an uncertainty quantification scheme using commercial finite element software (ANSYS) and thereby comparative results of stochastic natural frequencies are furnished for UQ using GHDMR approach and ANSYS.

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More information

Published date: 15 April 2016
Additional Information: Publisher Copyright: © 2016 Elsevier Ltd.
Keywords: Composite plate, Frequency response function, GHDMR, Noise, Stochastic mode shape, Uncertainty

Identifiers

Local EPrints ID: 483533
URI: http://eprints.soton.ac.uk/id/eprint/483533
ISSN: 0263-8223
PURE UUID: ff263c4d-0dfe-4f5b-b5c2-d606d8c52335

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Date deposited: 01 Nov 2023 17:56
Last modified: 18 Mar 2024 04:10

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Contributors

Author: S. Dey
Author: T. Mukhopadhyay
Author: A. Spickenheuer
Author: S. Adhikari
Author: G. Heinrich

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