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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

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
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa25688
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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.
Item Description: @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
Keywords: Laminates, Vibration, Computational modelling, Statistical properties/methods,Thermal uncertainty
College: College of Engineering
Start Page: 186
End Page: 197