Prediction of response variability in uncertain point connected structures using component mode synthesis and characteristic constraint modes
Prediction of response variability in uncertain point connected structures using component mode synthesis and characteristic constraint modes
Finite element analysis is frequently used in conjunction with Monte Carlo simulations (MCS) to predict the variability in the vibration response of assembled structures with uncertainties in the joint properties. Nonetheless this is usually computationally expensive, especially for large scale models. In this paper, component mode synthesis (CMS) is applied to point connected structures in order to reduce the size of the model. In addition, in order to spatially locate the connections anywhere in the model multipoint constraints are used. However, if the number of degrees of freedom (DOFs) involved in the connection is large, then the CMS size reduction is less effective. Characteristic constraint modes can then be used to reduce the number of interface DOFs.
The application of the technique is demonstrated on a model of two simply supported plates with five point connections. A MCS is used to evaluate the variability in the vibration response of this system due to uncertainty in the location of the point connections. Results show that this procedure not only reduces the computational time by approximately 90%, but also maintains good accuracy in the estimation of responses when compared to the standard modal solution.
finite element analysis, uncertainty in joints, multipoint constraints
0854329102
12pp
University of Southampton
De Alba, R.O.
9e42a69e-9f6a-4806-b302-1ceb53421784
Mace, B.R.
cfb883c3-2211-4f3a-b7f3-d5beb9baaefe
Ferguson, N.S.
8cb67e30-48e2-491c-9390-d444fa786ac8
July 2010
De Alba, R.O.
9e42a69e-9f6a-4806-b302-1ceb53421784
Mace, B.R.
cfb883c3-2211-4f3a-b7f3-d5beb9baaefe
Ferguson, N.S.
8cb67e30-48e2-491c-9390-d444fa786ac8
De Alba, R.O., Mace, B.R. and Ferguson, N.S.
(2010)
Prediction of response variability in uncertain point connected structures using component mode synthesis and characteristic constraint modes.
Brennan, M.J., Kovacic, Ivana, Lopes, V., Murphy, K., Petersson, B., Rizzi, S. and Yang, T.
(eds.)
In Recent Advances Structural Dynamics: Proceedings of the X International Conference.
University of Southampton.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Finite element analysis is frequently used in conjunction with Monte Carlo simulations (MCS) to predict the variability in the vibration response of assembled structures with uncertainties in the joint properties. Nonetheless this is usually computationally expensive, especially for large scale models. In this paper, component mode synthesis (CMS) is applied to point connected structures in order to reduce the size of the model. In addition, in order to spatially locate the connections anywhere in the model multipoint constraints are used. However, if the number of degrees of freedom (DOFs) involved in the connection is large, then the CMS size reduction is less effective. Characteristic constraint modes can then be used to reduce the number of interface DOFs.
The application of the technique is demonstrated on a model of two simply supported plates with five point connections. A MCS is used to evaluate the variability in the vibration response of this system due to uncertainty in the location of the point connections. Results show that this procedure not only reduces the computational time by approximately 90%, but also maintains good accuracy in the estimation of responses when compared to the standard modal solution.
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Published date: July 2010
Additional Information:
Paper No.056 (Format - USB Pen Drive)
Keywords:
finite element analysis, uncertainty in joints, multipoint constraints
Identifiers
Local EPrints ID: 160693
URI: http://eprints.soton.ac.uk/id/eprint/160693
ISBN: 0854329102
PURE UUID: c75548c1-0c4f-4543-9ed4-daea8da81787
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Date deposited: 20 Jul 2010 14:28
Last modified: 10 Jan 2023 02:32
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Contributors
Author:
R.O. De Alba
Editor:
M.J. Brennan
Editor:
Ivana Kovacic
Editor:
V. Lopes
Editor:
K. Murphy
Editor:
B. Petersson
Editor:
S. Rizzi
Editor:
T. Yang
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