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A semi-analytical stochastic buckling quantification of porous functionally graded plates

A semi-analytical stochastic buckling quantification of porous functionally graded plates
A semi-analytical stochastic buckling quantification of porous functionally graded plates

This paper introduces a semi-analytical approach integrated with Monte Carlo simulation for stochastic buckling analyses of porous functionally graded plates arising due to the inevitable source-uncertainties of geometrical configurations and material properties. Analytical derivations based on the classical plate theory in conjunction with three-variable refined shear deformation theory are carried out first leading to closed-form solutions for buckling loads and thereby, the closed-form equations are exploited to conduct the comprehensive stochastic quantification of buckling loads in a non-intrusive framework based on Monte Carlo simulation. The deterministic framework is validated with a separate finite element analysis before implementing it for stochastic analysis. The first-order and second-order perturbation theory integrated with the Taylor series expansion are utilized to derive closed-form expressions for the mean and variance of stochastic buckling loads which are compared with Monte Carlo simulation results. Sensitivity of stochastic buckling loads on individual and compound uncertainties are investigated to determine the relative importance of different uncertainty sources. Effects of plate thickness, volume fraction index, and degree of stochasticity variations on the probability distributions of the first three stochastic buckling loads are investigated for both uniaxial and biaxial load cases. The complete probabilistic descriptions presented in this paper assert that the overlapping areas in probability distribution plots corresponding to the consecutive buckling modes lead to the existence of non-unique critical buckling modes, which could potentially be crucial for analyses and designs of structural systems under an inevitable stochastic environment. This article convincingly demonstrates the importance of considering source-uncertainties in porous functionally graded structures including the critical loopholes for a buckling analysis in the presence of such uncertainties.

Complete probabilistic description of buckling loads, Higher order buckling modes, Perturbation theory for stochastic analysis, Porous functionally graded plate, Stochastic buckling analysis, Uncertainty quantification of FGM plates
1270-9638
Trinh, Minh Chien
a166c281-e8bb-42ac-9f1c-bb0107ec08fd
Mukhopadhyay, Tanmoy
2ae18ab0-7477-40ac-ae22-76face7be475
Kim, Seung Eock
68ad4e76-ba4f-47c7-be09-3542f6b0e803
Trinh, Minh Chien
a166c281-e8bb-42ac-9f1c-bb0107ec08fd
Mukhopadhyay, Tanmoy
2ae18ab0-7477-40ac-ae22-76face7be475
Kim, Seung Eock
68ad4e76-ba4f-47c7-be09-3542f6b0e803

Trinh, Minh Chien, Mukhopadhyay, Tanmoy and Kim, Seung Eock (2020) A semi-analytical stochastic buckling quantification of porous functionally graded plates. Aerospace Science and Technology, 105, [105928]. (doi:10.1016/j.ast.2020.105928).

Record type: Article

Abstract

This paper introduces a semi-analytical approach integrated with Monte Carlo simulation for stochastic buckling analyses of porous functionally graded plates arising due to the inevitable source-uncertainties of geometrical configurations and material properties. Analytical derivations based on the classical plate theory in conjunction with three-variable refined shear deformation theory are carried out first leading to closed-form solutions for buckling loads and thereby, the closed-form equations are exploited to conduct the comprehensive stochastic quantification of buckling loads in a non-intrusive framework based on Monte Carlo simulation. The deterministic framework is validated with a separate finite element analysis before implementing it for stochastic analysis. The first-order and second-order perturbation theory integrated with the Taylor series expansion are utilized to derive closed-form expressions for the mean and variance of stochastic buckling loads which are compared with Monte Carlo simulation results. Sensitivity of stochastic buckling loads on individual and compound uncertainties are investigated to determine the relative importance of different uncertainty sources. Effects of plate thickness, volume fraction index, and degree of stochasticity variations on the probability distributions of the first three stochastic buckling loads are investigated for both uniaxial and biaxial load cases. The complete probabilistic descriptions presented in this paper assert that the overlapping areas in probability distribution plots corresponding to the consecutive buckling modes lead to the existence of non-unique critical buckling modes, which could potentially be crucial for analyses and designs of structural systems under an inevitable stochastic environment. This article convincingly demonstrates the importance of considering source-uncertainties in porous functionally graded structures including the critical loopholes for a buckling analysis in the presence of such uncertainties.

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More information

Published date: October 2020
Additional Information: Funding Information: This research was supported by the National Research Foundation of Korea (NRF) funded by the Korea government (MSIT) (No. 2018R1A2A2A05018524 and No. 2019R1A4A1021702 ). Publisher Copyright: © 2020 Elsevier Masson SAS
Keywords: Complete probabilistic description of buckling loads, Higher order buckling modes, Perturbation theory for stochastic analysis, Porous functionally graded plate, Stochastic buckling analysis, Uncertainty quantification of FGM plates

Identifiers

Local EPrints ID: 483570
URI: http://eprints.soton.ac.uk/id/eprint/483570
ISSN: 1270-9638
PURE UUID: 2ced0dac-905e-4f00-96a8-9687ee711ac5
ORCID for Tanmoy Mukhopadhyay: ORCID iD orcid.org/0000-0002-0778-6515

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Date deposited: 01 Nov 2023 18:02
Last modified: 18 Mar 2024 04:10

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Contributors

Author: Minh Chien Trinh
Author: Tanmoy Mukhopadhyay ORCID iD
Author: Seung Eock Kim

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