The University of Southampton
University of Southampton Institutional Repository

On using deterministic FEA software to solve problems in stochastic structural mechanics

On using deterministic FEA software to solve problems in stochastic structural mechanics
On using deterministic FEA software to solve problems in stochastic structural mechanics
Over the last three decades there has been an outstanding growth in the development of deterministic finite element codes with extensive analysis capabilities. Extension of such deterministic codes to solve problems in stochastic mechanics is of much interest to the academic research community and industry. In this paper we discuss some of the issues involved in integrating fully grown third-party deterministic finite element codes with stochastic projection schemes. The objective of this study is to lay the foundation for development of an easy-to-use general-purpose stochastic finite element software for carrying out probabilistic analysis of large-scale engineering systems. We present a brief introduction to stochastic reduced basis projection schemes and the steps involved in coupling them with a typical deterministic finite element software. We demonstrate with the help of a number of case studies how a coupled framework can be used for solving problems in probabilistic mechanics.
0045-7949
277 -290
Sachdeva, Sachin K.
40692b50-50e3-4e78-a464-86475be62053
Nair, Prasanth B.
d4d61705-bc97-478e-9e11-bcef6683afe7
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
Sachdeva, Sachin K.
40692b50-50e3-4e78-a464-86475be62053
Nair, Prasanth B.
d4d61705-bc97-478e-9e11-bcef6683afe7
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def

Sachdeva, Sachin K., Nair, Prasanth B. and Keane, Andy J. (1970) On using deterministic FEA software to solve problems in stochastic structural mechanics. Computers & Structures, 85 (5-6), 277 -290. (doi:10.1016/j.compstruc.2006.10.008).

Record type: Article

Abstract

Over the last three decades there has been an outstanding growth in the development of deterministic finite element codes with extensive analysis capabilities. Extension of such deterministic codes to solve problems in stochastic mechanics is of much interest to the academic research community and industry. In this paper we discuss some of the issues involved in integrating fully grown third-party deterministic finite element codes with stochastic projection schemes. The objective of this study is to lay the foundation for development of an easy-to-use general-purpose stochastic finite element software for carrying out probabilistic analysis of large-scale engineering systems. We present a brief introduction to stochastic reduced basis projection schemes and the steps involved in coupling them with a typical deterministic finite element software. We demonstrate with the help of a number of case studies how a coupled framework can be used for solving problems in probabilistic mechanics.

Text
sach_07.pdf - Accepted Manuscript
Download (3MB)

More information

Published date: 1 January 1970

Identifiers

Local EPrints ID: 43285
URI: http://eprints.soton.ac.uk/id/eprint/43285
ISSN: 0045-7949
PURE UUID: 9886d4ca-988c-46e0-aad4-7e3d744512e7

Catalogue record

Date deposited: 19 Jan 2007
Last modified: 13 Mar 2019 21:10

Export record

Altmetrics

Contributors

Author: Sachin K. Sachdeva
Author: Prasanth B. Nair
Author: Andy J. Keane

University divisions

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.

×