The University of Southampton
University of Southampton Institutional Repository

Stochastic free vibration analysis of angle-ply composite plates - A RS-HDMR approach

Stochastic free vibration analysis of angle-ply composite plates - A RS-HDMR approach
Stochastic free vibration analysis of angle-ply composite plates - A RS-HDMR approach

This paper presents a generic random sampling-high dimensional model representations (RS-HDMR) approach for free vibration analysis of angle-ply composite plates. A metamodel is developed to express stochastic natural frequencies of the system. A global sensitivity analysis is carried out to address the influence of input random parameters on output natural frequencies. Three different types of input variables (fiber-orientation angle, elastic modulus and mass density) are varied to validate the proposed algorithm. The present approach is efficiently employed to reduce the sampling effort and computational cost when large number of input parameters is involved. The stochastic finite element approach is coupled with rotary inertia and transverse shear deformation based on Mindlin's theory. Statistical analysis is carried out to illustrate the features of the RS-HDMR and to compare its performance with full-scale Monte Carlo simulation results. The stochastic mode shapes are also depicted for a typical laminate configuration. Based on the numerical results, some new physical insights are drawn on the dynamic behavior of the system.

Composite plate, Natural frequency, Random sampling - high dimensional model representation, Sensitivity analysis, Uncertainty
0263-8223
526-536
Dey, Sudip
ad19fb29-0675-43ef-85a6-69aedc394525
Mukhopadhyay, Tanmoy
2ae18ab0-7477-40ac-ae22-76face7be475
Adhikari, Sondipon
12cf62cf-340a-4da6-9ad4-f4dd64384a73
Dey, Sudip
ad19fb29-0675-43ef-85a6-69aedc394525
Mukhopadhyay, Tanmoy
2ae18ab0-7477-40ac-ae22-76face7be475
Adhikari, Sondipon
12cf62cf-340a-4da6-9ad4-f4dd64384a73

Dey, Sudip, Mukhopadhyay, Tanmoy and Adhikari, Sondipon (2015) Stochastic free vibration analysis of angle-ply composite plates - A RS-HDMR approach. Composite Structures, 122, 526-536. (doi:10.1016/j.compstruct.2014.09.057).

Record type: Article

Abstract

This paper presents a generic random sampling-high dimensional model representations (RS-HDMR) approach for free vibration analysis of angle-ply composite plates. A metamodel is developed to express stochastic natural frequencies of the system. A global sensitivity analysis is carried out to address the influence of input random parameters on output natural frequencies. Three different types of input variables (fiber-orientation angle, elastic modulus and mass density) are varied to validate the proposed algorithm. The present approach is efficiently employed to reduce the sampling effort and computational cost when large number of input parameters is involved. The stochastic finite element approach is coupled with rotary inertia and transverse shear deformation based on Mindlin's theory. Statistical analysis is carried out to illustrate the features of the RS-HDMR and to compare its performance with full-scale Monte Carlo simulation results. The stochastic mode shapes are also depicted for a typical laminate configuration. Based on the numerical results, some new physical insights are drawn on the dynamic behavior of the system.

This record has no associated files available for download.

More information

Published date: 1 April 2015
Additional Information: Publisher Copyright: © 2014 Elsevier Ltd.
Keywords: Composite plate, Natural frequency, Random sampling - high dimensional model representation, Sensitivity analysis, Uncertainty

Identifiers

Local EPrints ID: 483524
URI: http://eprints.soton.ac.uk/id/eprint/483524
ISSN: 0263-8223
PURE UUID: d993f7dd-2c59-4161-a153-1e51c4e335b0

Catalogue record

Date deposited: 01 Nov 2023 17:51
Last modified: 18 Mar 2024 04:10

Export record

Altmetrics

Contributors

Author: Sudip Dey
Author: Tanmoy Mukhopadhyay
Author: Sondipon Adhikari

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

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×