On quantifying the effect of noise in radial basis function based stochastic free vibration analysis of laminated composite beam
On quantifying the effect of noise in radial basis function based stochastic free vibration analysis of laminated composite beam
This paper presents the effect of noise on Radial basis function (RBF) based stochastic natural frequency analysis of thin-walled laminated composite beams. The RBF based method is built up on the basis of information acquired regarding the behaviour of the response quantity throughout the entire design space utilizing few algorithmically chosen design points The crucial issue of expensive computation involved in uncertainty quantification of composite structures and the development of radial basis function based uncertainty quantification algorithm to mitigate this lacuna. On the other hand, noise is an inevitable factor in every real life design methods and structural response monitoring for any practical systems. In this paper, a novel algorithm is developed to explore the effect of noise in surrogate based uncertainty quantification methods. The probability distributions for higher modes of natural frequencies (first eight) corresponding to the bending modes has been calculated. The study reveals that stochasticity/ system irregularity in structural and material attributes influences the system performance remarkably. To ensure robustness, safety and sustainability of the structure, it is very crucial to consider such forms of uncertainties during the analysis. The proposed method for quantifying the effect of noise for the proposed computationally efficient RBF based framework in this paper is general in nature and therefore, it can be further extended to explore other surrogate based approach of uncertainty quantification under the influence of noise.
Radial basis function, Sensitivity analysis, Stochastic natural frequency, Stochastic representative volume element (SRVE), Uncertainty quantification
Applied Mechanics Laboratory
Naskar, S.
5f787953-b062-4774-a28b-473bd19254b1
Sriramula, S.
1f89db01-ff5c-4033-a39c-4df483fcba8c
25 June 2018
Naskar, S.
5f787953-b062-4774-a28b-473bd19254b1
Sriramula, S.
1f89db01-ff5c-4033-a39c-4df483fcba8c
Naskar, S. and Sriramula, S.
(2018)
On quantifying the effect of noise in radial basis function based stochastic free vibration analysis of laminated composite beam.
In ECCM 2018 - 18th European Conference on Composite Materials.
Applied Mechanics Laboratory..
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper presents the effect of noise on Radial basis function (RBF) based stochastic natural frequency analysis of thin-walled laminated composite beams. The RBF based method is built up on the basis of information acquired regarding the behaviour of the response quantity throughout the entire design space utilizing few algorithmically chosen design points The crucial issue of expensive computation involved in uncertainty quantification of composite structures and the development of radial basis function based uncertainty quantification algorithm to mitigate this lacuna. On the other hand, noise is an inevitable factor in every real life design methods and structural response monitoring for any practical systems. In this paper, a novel algorithm is developed to explore the effect of noise in surrogate based uncertainty quantification methods. The probability distributions for higher modes of natural frequencies (first eight) corresponding to the bending modes has been calculated. The study reveals that stochasticity/ system irregularity in structural and material attributes influences the system performance remarkably. To ensure robustness, safety and sustainability of the structure, it is very crucial to consider such forms of uncertainties during the analysis. The proposed method for quantifying the effect of noise for the proposed computationally efficient RBF based framework in this paper is general in nature and therefore, it can be further extended to explore other surrogate based approach of uncertainty quantification under the influence of noise.
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Published date: 25 June 2018
Additional Information:
Funding Information:
The authors are grateful for the support provided through the Lloyd's Register Foundation Centre. The Foundation helps to protect life and property by supporting engineering-related education, public engagement and the application of research.
Funding Information:
The authors are grateful for the support provided through the Lloyd’s Register Foundation
Publisher Copyright:
© CCM 2020 - 18th European Conference on Composite Materials. All rights reserved.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
Venue - Dates:
18th European Conference on Composite Materials, Megaron Athens International Conference Center, Athens, Greece, 2018-06-24 - 2018-06-28
Keywords:
Radial basis function, Sensitivity analysis, Stochastic natural frequency, Stochastic representative volume element (SRVE), Uncertainty quantification
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Local EPrints ID: 452060
URI: http://eprints.soton.ac.uk/id/eprint/452060
PURE UUID: 79be9ca8-89a2-4b9a-a358-fbb8bdc97420
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Date deposited: 10 Nov 2021 17:33
Last modified: 18 Mar 2024 04:02
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Author:
S. Sriramula
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