Skip navigation

Smeared shell modelling approach for structural analysis of heritage composite structures – An application to the Cutty Sark conservation

Smeared shell modelling approach for structural analysis of heritage composite structures – An application to the Cutty Sark conservation

Stoyanov, Stoyan, Mason, Peter and Bailey, Chris (2010) Smeared shell modelling approach for structural analysis of heritage composite structures – An application to the Cutty Sark conservation. Computers & Structures, 88 (11-12). pp. 649-663. ISSN 0045-7949 (doi:10.1016/j.compstruc.2010.02.005)

Full text not available from this repository.

Abstract

This paper discusses the computational modelling used to simulate the structural behaviour of the historic ship Cutty Sark and her response to different load and new support conditions, various treatments and interventions as part of a major conservation programme. A novel modelling approach suitable to analyse quickly and at a global level complex heritage structures with composite shell-like nature such as the Cutty Sark is presented. This modelling approach is validated and applied to understand and analyse a number of structural assessment problems relevant to the conservation programme including plank removal procedures and the design of a new support structure.

Item Type: Article
Additional Information: [1] Available online: 5 March 2010. [2] Published in print: June 2010. [3] Published as: Computers & Structures, (2010), Vol. 88, (11–12), pp. 649–663.
Uncontrolled Keywords: computer aided conservation, computational modelling, ship modelling, smeared shell approach, Cutty Sark, composite structures
Subjects: Q Science > QA Mathematics > QA76 Computer software
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 > Department of Computer Systems Technology
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:11
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/4478

Actions (login required)

View Item View Item