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Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment

S. Dey, T. Mukhopadhyay, S. Adhikari, Sondipon Adhikari

Composite Structures, Volume: 171, Pages: 227 - 250

Swansea University Author: Sondipon Adhikari

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DOI (Published version): 10.1016/j.compstruct.2017.01.061

Abstract

This paper presents a concise state-of-the-art review along with an exhaustive comparative investigation on surrogate models for critical comparative assessment of uncertainty in natural frequencies of composite plates on the basis of computational efficiency and accuracy. Both individual and combin...

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Published in: Composite Structures
ISSN: 0263-8223
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa31726
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first_indexed 2017-01-24T14:48:46Z
last_indexed 2018-02-09T05:18:53Z
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spelling 2017-04-07T09:17:35.2047768 v2 31726 2017-01-24 Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment 4ea84d67c4e414f5ccbd7593a40f04d3 Sondipon Adhikari Sondipon Adhikari true false 2017-01-24 FGSEN This paper presents a concise state-of-the-art review along with an exhaustive comparative investigation on surrogate models for critical comparative assessment of uncertainty in natural frequencies of composite plates on the basis of computational efficiency and accuracy. Both individual and combined variations of input parameters have been considered to account for the effect of low and high dimensional input parameter spaces in the surrogate based uncertainty quantification algorithms including the rate of convergence. Probabilistic characterization of the first three stochastic natural frequencies is carried out by using a finite element model that includes the effects of transverse shear deformation based on Mindlin’s theory in conjunction with a layer-wise random variable approach. The results obtained by different metamodels have been compared with the results of traditional Monte Carlo simulation (MCS) method for high fidelity uncertainty quantification. The crucial issue regarding influence of sampling techniques on the performance of metamodel based uncertainty quantification has been addressed as an integral part of this article. Journal Article Composite Structures 171 227 250 0263-8223 Composite plate; Metamodel; Sampling techniques; Comparative study; Stochastic natural frequency 31 12 2017 2017-12-31 10.1016/j.compstruct.2017.01.061 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2017-04-07T09:17:35.2047768 2017-01-24T09:38:29.3179606 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised S. Dey 1 T. Mukhopadhyay 2 S. Adhikari 3 Sondipon Adhikari 4 0031726-24012017093924.pdf dey2017.pdf 2017-01-24T09:39:24.2470000 Output 2912090 application/pdf Accepted Manuscript true 2018-01-24T00:00:00.0000000 false
title Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment
spellingShingle Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment
Sondipon Adhikari
title_short Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment
title_full Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment
title_fullStr Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment
title_full_unstemmed Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment
title_sort Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment
author_id_str_mv 4ea84d67c4e414f5ccbd7593a40f04d3
author_id_fullname_str_mv 4ea84d67c4e414f5ccbd7593a40f04d3_***_Sondipon Adhikari
author Sondipon Adhikari
author2 S. Dey
T. Mukhopadhyay
S. Adhikari
Sondipon Adhikari
format Journal article
container_title Composite Structures
container_volume 171
container_start_page 227
publishDate 2017
institution Swansea University
issn 0263-8223
doi_str_mv 10.1016/j.compstruct.2017.01.061
college_str Faculty of Science and Engineering
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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
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description This paper presents a concise state-of-the-art review along with an exhaustive comparative investigation on surrogate models for critical comparative assessment of uncertainty in natural frequencies of composite plates on the basis of computational efficiency and accuracy. Both individual and combined variations of input parameters have been considered to account for the effect of low and high dimensional input parameter spaces in the surrogate based uncertainty quantification algorithms including the rate of convergence. Probabilistic characterization of the first three stochastic natural frequencies is carried out by using a finite element model that includes the effects of transverse shear deformation based on Mindlin’s theory in conjunction with a layer-wise random variable approach. The results obtained by different metamodels have been compared with the results of traditional Monte Carlo simulation (MCS) method for high fidelity uncertainty quantification. The crucial issue regarding influence of sampling techniques on the performance of metamodel based uncertainty quantification has been addressed as an integral part of this article.
published_date 2017-12-31T03:38:45Z
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score 11.035874

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