Thermal uncertainty quantification in frequency responses of laminated composite plates
Thermal uncertainty quantification in frequency responses of laminated composite plates
Abstract The propagation of thermal uncertainty in composite structures has significant computational challenges. This paper presents the thermal, ply-level and material uncertainty propagation in frequency responses of laminated composite plates by employing surrogate model which is capable of dealing with both correlated and uncorrelated input parameters. The present approach introduces the generalized high dimensional model representation (GHDMR) wherein diffeomorphic modulation under observable response preserving homotopy (D-MORPH) regression is utilized to ensure the hierarchical orthogonality of high dimensional model representation component functions. The stochastic range of thermal field includes elevated temperatures up to 375 K and sub-zero temperatures up to cryogenic range of 125 K. Statistical analysis of the first three natural frequencies is presented to illustrate the results and its performance.
A. Laminates, B. Vibration, C. Computational modelling, C. Statistical properties/methods, Thermal uncertainty
186-197
Dey, S.
873ddd42-c774-4bf9-981a-a8ac885bd16f
Mukhopadhyay, T.
2ae18ab0-7477-40ac-ae22-76face7be475
Sahu, S. K.
a951367c-a633-43d0-92cc-831941f2c61e
Li, G.
4fa709df-8cb7-4091-aa2b-136d56d1a983
Rabitz, H.
3e81aa62-a017-448f-a82a-8cf03df52899
Adhikari, S.
82960baf-916c-496e-aa85-fc7de09a1626
22 June 2015
Dey, S.
873ddd42-c774-4bf9-981a-a8ac885bd16f
Mukhopadhyay, T.
2ae18ab0-7477-40ac-ae22-76face7be475
Sahu, S. K.
a951367c-a633-43d0-92cc-831941f2c61e
Li, G.
4fa709df-8cb7-4091-aa2b-136d56d1a983
Rabitz, H.
3e81aa62-a017-448f-a82a-8cf03df52899
Adhikari, S.
82960baf-916c-496e-aa85-fc7de09a1626
Dey, S., Mukhopadhyay, T., Sahu, S. K., Li, G., Rabitz, H. and Adhikari, S.
(2015)
Thermal uncertainty quantification in frequency responses of laminated composite plates.
Composites Part B: Engineering, 80, , [3641].
(doi:10.1016/j.compositesb.2015.06.006).
Abstract
Abstract The propagation of thermal uncertainty in composite structures has significant computational challenges. This paper presents the thermal, ply-level and material uncertainty propagation in frequency responses of laminated composite plates by employing surrogate model which is capable of dealing with both correlated and uncorrelated input parameters. The present approach introduces the generalized high dimensional model representation (GHDMR) wherein diffeomorphic modulation under observable response preserving homotopy (D-MORPH) regression is utilized to ensure the hierarchical orthogonality of high dimensional model representation component functions. The stochastic range of thermal field includes elevated temperatures up to 375 K and sub-zero temperatures up to cryogenic range of 125 K. Statistical analysis of the first three natural frequencies is presented to illustrate the results and its performance.
This record has no associated files available for download.
More information
Published date: 22 June 2015
Additional Information:
Funding Information:
HR and GL acknowledge the support of ONR, USA with account number N00014-11-1-0716 . SA acknowledges the support of Royal Society of London through the award of Wolfson Research Merit award.
Publisher Copyright:
© 2015 Elsevier Ltd.
Keywords:
A. Laminates, B. Vibration, C. Computational modelling, C. Statistical properties/methods, Thermal uncertainty
Identifiers
Local EPrints ID: 483527
URI: http://eprints.soton.ac.uk/id/eprint/483527
ISSN: 1359-8368
PURE UUID: d31e2b46-fb88-470f-8cc9-f756401a39b6
Catalogue record
Date deposited: 01 Nov 2023 17:51
Last modified: 18 Mar 2024 04:10
Export record
Altmetrics
Contributors
Author:
S. Dey
Author:
T. Mukhopadhyay
Author:
S. K. Sahu
Author:
G. Li
Author:
H. Rabitz
Author:
S. Adhikari
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics