Reduced-order modelling for investigating nonlinear FEM systems
Reduced-order modelling for investigating nonlinear FEM systems
Modern finite element (FE) packages are capable of capturing nonlinear behaviour in extremely complex structures. However, due to the scale of these models, full dynamic analysis is often prohibitively expensive. An alternative approach is to use the FE models to derive reduced-order models (ROMs) which capture the dynamic behaviour of interest at a significantly lower computational cost. An automatic identification of the stated ROMs is powerful and desirable when parametric, sensitivity and uncertainty analysis is of interest. The authors implemented in Matlab a strategy to automatically compute the reduced order model and investigate the effects of parametric variation exchanging information with FEM software. In the strategy it is adopted the Applied Modal Force (AMF) approach, where a force is applied to the FE model and the resulting displacements are used to identify coefficients of the ROM, as is done in the ICE method. The developed techniques are presented in the paper and validated considering a crossed beam structure modelled in Abaqus.
335-350
Tartaruga, I.
164fe41d-7330-4a5a-a08e-b1e47d7f3875
Neild, S.A.
e11b68bb-ddff-4cac-a8a7-798cc3cc3891
Hill, T.L.
96922dda-e993-4889-a519-5f89fe6ebca8
Cammarano, A.
c0c85f55-3dfc-4b97-9b79-e2554406a12b
7 June 2018
Tartaruga, I.
164fe41d-7330-4a5a-a08e-b1e47d7f3875
Neild, S.A.
e11b68bb-ddff-4cac-a8a7-798cc3cc3891
Hill, T.L.
96922dda-e993-4889-a519-5f89fe6ebca8
Cammarano, A.
c0c85f55-3dfc-4b97-9b79-e2554406a12b
Tartaruga, I., Neild, S.A., Hill, T.L. and Cammarano, A.
(2018)
Reduced-order modelling for investigating nonlinear FEM systems.
Kerschen, Gaeten
(ed.)
In Nonlinear Dynamics, Volume 1: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018.
Springer Cham.
.
(doi:10.1007/978-3-319-74280-9_36).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Modern finite element (FE) packages are capable of capturing nonlinear behaviour in extremely complex structures. However, due to the scale of these models, full dynamic analysis is often prohibitively expensive. An alternative approach is to use the FE models to derive reduced-order models (ROMs) which capture the dynamic behaviour of interest at a significantly lower computational cost. An automatic identification of the stated ROMs is powerful and desirable when parametric, sensitivity and uncertainty analysis is of interest. The authors implemented in Matlab a strategy to automatically compute the reduced order model and investigate the effects of parametric variation exchanging information with FEM software. In the strategy it is adopted the Applied Modal Force (AMF) approach, where a force is applied to the FE model and the resulting displacements are used to identify coefficients of the ROM, as is done in the ICE method. The developed techniques are presented in the paper and validated considering a crossed beam structure modelled in Abaqus.
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e-pub ahead of print date: 6 June 2018
Published date: 7 June 2018
Identifiers
Local EPrints ID: 491080
URI: http://eprints.soton.ac.uk/id/eprint/491080
ISSN: 2191-5644
PURE UUID: 07c924f4-1395-4485-b590-1b810f503001
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Date deposited: 11 Jun 2024 23:51
Last modified: 12 Jun 2024 02:11
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Contributors
Author:
I. Tartaruga
Author:
S.A. Neild
Author:
T.L. Hill
Author:
A. Cammarano
Editor:
Gaeten Kerschen
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