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Computational methodology for analysis of historic composite structures

Computational methodology for analysis of historic composite structures

Stoyanov, S. ORCID: 0000-0001-6091-1226, Mason, P. and Bailey, C. ORCID: 0000-0002-9438-3879 (2006) Computational methodology for analysis of historic composite structures. In: Proceedings of the 5th International Conference on Engineering Computational Technology. Civil-Comp Press, Stirlingshire, UK. ISBN 1905088116 ISSN 1759-3433 (doi:https://doi.org/10.4203/ccp.84.132)

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Abstract

This paper details the computational methodology for analysis of the structural behaviour of historic composite structures. The modelling approach is based on finite element analysis and has been developed to aid the efficient and inexpensive computational mechanics of complex composite structures. The discussion is primarily focussed on the modelling methodology and analysis of structural designs that comprise of structural beam components acting as stiffeners to a wider shell part of the structure. A computational strategy for analysis of this type of composite structures that exploits their representation through smeared shell models is detailed in the paper.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the 5th International Conference on Engineering Computational Technology
Additional Information: [2] Paper presented at 5th International Conference on Engineering Computational Technology, Las Palmas de Gran Canaria, Spain, 12-15 September 2006 - found in section XVIII Computer Aided Design & Modelling, paper number 132 **** [1] Book of abstracts accompanied by full length papers on CD-ROM. Paper 132.
Uncontrolled Keywords: FEA, finite element analysis, computational, modelling, historic, ship, composite, structure, Cutty Sark
Subjects: Q Science > QA Mathematics
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
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Last Modified: 13 Mar 2019 11:32
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/1020

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