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Thermal uncertainty quantification in frequency responses of laminated composite plates

S. Dey, T. Mukhopadhyay, S. K. Sahu, G. Li, H. Rabitz, S. Adhikari, Sondipon Adhikari

Composites Part B: Engineering, Volume: 80, Pages: 186 - 197

Swansea University Author: Sondipon Adhikari

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DOI (Published version): 10.1016/j.compositesb.2015.06.006

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...

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Published in: Composites Part B: Engineering
ISSN: 1359-8368
Published: 2015
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URI: https://cronfa.swan.ac.uk/Record/cronfa25688
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spelling 2018-01-08T09:55:52.9718416 v2 25688 2016-01-16 Thermal uncertainty quantification in frequency responses of laminated composite plates 4ea84d67c4e414f5ccbd7593a40f04d3 Sondipon Adhikari Sondipon Adhikari true false 2016-01-16 FGSEN 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. Journal Article Composites Part B: Engineering 80 186 197 1359-8368 Laminates, Vibration, Computational modelling, Statistical properties/methods,Thermal uncertainty 31 10 2015 2015-10-31 10.1016/j.compositesb.2015.06.006 @articleRID:1031151530385-209,title = Thermal uncertainty quantification in frequency responses of laminated composite plates,journal = Composites Part B-Engineering,year = 2015,author = Dey, S. and Mukhopadhyay, T. and Sahu, S. K. and Li, G. and Rabitz, H. and Adhikari, S.,volume = 80,pages = 186-197 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2018-01-08T09:55:52.9718416 2016-01-16T18:12:04.1521324 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised S. Dey 1 T. Mukhopadhyay 2 S. K. Sahu 3 G. Li 4 H. Rabitz 5 S. Adhikari 6 Sondipon Adhikari 7 0025688-11022016140833.pdf AdhikariThermalUncertaintyQuantification2015Postprint.pdf 2016-02-11T14:08:33.4670000 Output 1557321 application/pdf Accepted Manuscript true 2016-06-11T00:00:00.0000000 true
title Thermal uncertainty quantification in frequency responses of laminated composite plates
spellingShingle Thermal uncertainty quantification in frequency responses of laminated composite plates
Sondipon Adhikari
title_short Thermal uncertainty quantification in frequency responses of laminated composite plates
title_full Thermal uncertainty quantification in frequency responses of laminated composite plates
title_fullStr Thermal uncertainty quantification in frequency responses of laminated composite plates
title_full_unstemmed Thermal uncertainty quantification in frequency responses of laminated composite plates
title_sort Thermal uncertainty quantification in frequency responses of laminated composite plates
author_id_str_mv 4ea84d67c4e414f5ccbd7593a40f04d3
author_id_fullname_str_mv 4ea84d67c4e414f5ccbd7593a40f04d3_***_Sondipon Adhikari
author Sondipon Adhikari
author2 S. Dey
T. Mukhopadhyay
S. K. Sahu
G. Li
H. Rabitz
S. Adhikari
Sondipon Adhikari
format Journal article
container_title Composites Part B: Engineering
container_volume 80
container_start_page 186
publishDate 2015
institution Swansea University
issn 1359-8368
doi_str_mv 10.1016/j.compositesb.2015.06.006
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description 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.
published_date 2015-10-31T03:30:43Z
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score 11.012678

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