Probabilistic failure analysis of a fibre-reinforced plastic sandwich plate subjected to a lateral pressure load
Probabilistic failure analysis of a fibre-reinforced plastic sandwich plate subjected to a lateral pressure load
This paper deals with probabilistic failure analysis of a fibre-reinforced plastic (FRP) sandwich plate subjected to a lateral pressure load. Input parameters to the strength of the sandwich plate such as a lateral pressure load, elastic moduli and the geometric and ultimate strength values, are treated as basic design variables, and a specific probability distribution is applied to them to take into account their variability. Based on the selected basic design variables, simplified higher-order shear deformation theory (HSDT) is used to calculate the probabilistic structural response of the sandwich plate. The limit state equations are derived from polynomial failure criteria such as maximum stress, maximum strain, Tsai-Hill, Tsai-Wu and Hoffman criteria. The calculated probabilistic structural response of the sandwich plate and the basic design variables of the ultimate strength are then substituted into the derived limit state equations to define the failure or survival state of the sandwich plate. Results are interpreted in three categories such as probabilistic failures at the faces and the core, probabilistic strength distributions of the sandwich plate and sensitivity of each selected basic design variable to estimated probabilistic sandwich plate strength.
fibre-reinforced plastic sandwich plate, simplified higher-order shear deformation theory, limit state equations, Monte Carlo simulation method, probabilistic failure analysis
115-126
Jeong, H.K.
990d466f-a5b6-4899-bc38-85895e1153a3
Shenoi, R.A.
a37b4e0a-06f1-425f-966d-71e6fa299960
2002
Jeong, H.K.
990d466f-a5b6-4899-bc38-85895e1153a3
Shenoi, R.A.
a37b4e0a-06f1-425f-966d-71e6fa299960
Jeong, H.K. and Shenoi, R.A.
(2002)
Probabilistic failure analysis of a fibre-reinforced plastic sandwich plate subjected to a lateral pressure load.
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 216 (2), .
Abstract
This paper deals with probabilistic failure analysis of a fibre-reinforced plastic (FRP) sandwich plate subjected to a lateral pressure load. Input parameters to the strength of the sandwich plate such as a lateral pressure load, elastic moduli and the geometric and ultimate strength values, are treated as basic design variables, and a specific probability distribution is applied to them to take into account their variability. Based on the selected basic design variables, simplified higher-order shear deformation theory (HSDT) is used to calculate the probabilistic structural response of the sandwich plate. The limit state equations are derived from polynomial failure criteria such as maximum stress, maximum strain, Tsai-Hill, Tsai-Wu and Hoffman criteria. The calculated probabilistic structural response of the sandwich plate and the basic design variables of the ultimate strength are then substituted into the derived limit state equations to define the failure or survival state of the sandwich plate. Results are interpreted in three categories such as probabilistic failures at the faces and the core, probabilistic strength distributions of the sandwich plate and sensitivity of each selected basic design variable to estimated probabilistic sandwich plate strength.
This record has no associated files available for download.
More information
Published date: 2002
Keywords:
fibre-reinforced plastic sandwich plate, simplified higher-order shear deformation theory, limit state equations, Monte Carlo simulation method, probabilistic failure analysis
Identifiers
Local EPrints ID: 22046
URI: http://eprints.soton.ac.uk/id/eprint/22046
ISSN: 1464-4207
PURE UUID: 52fef593-761d-437a-842a-2003bb8b76ed
Catalogue record
Date deposited: 20 Mar 2006
Last modified: 08 Jan 2022 01:00
Export record
Contributors
Author:
H.K. Jeong
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics