Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

Hybrid nearly singular integration for isogeometric boundary element analysis of coatings and other thin 2D structures.

Gong, Y. and Trevelyan, J. and Hattori, G. and Dong, C. (2019) 'Hybrid nearly singular integration for isogeometric boundary element analysis of coatings and other thin 2D structures.', Computer methods in applied mechanics and engineering., 346 . pp. 642-673.

Abstract

We present an isogeometric boundary element method (IGABEM) capable of delivering accurate and efficient solutions in the heat transfer analysis of 2D coated structures such as those commonly found in turbomachinery. Although we consider very thin coatings (of thickness down to m), they are modelled explicitly as BEM zones, and this is made possible by the development of a new integration scheme (sinh) aimed particularly at the challenging nearly singular integrals that arise. Sinh is a hybrid of adaptive and sinh transformation approaches, and we make further extensions to the latter to improve its robustness. The scheme is tuned to deliver results of engineering accuracy in an optimal time. The scheme is adaptable, by changing a tolerance, to enable engineers to achieve a different balance between accuracy and computational efficiency as may be required for different applications. A set of numerical examples demonstrates the ability of the scheme to produce accurate temperature distributions efficiently in the presence of very thin coatings.

Item Type:Article
Full text:(AM) Accepted Manuscript
Available under License - Creative Commons Attribution Non-commercial No Derivatives.
Download PDF
(1690Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1016/j.cma.2018.12.019
Publisher statement:© 2018 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Date accepted:08 December 2018
Date deposited:19 December 2018
Date of first online publication:18 December 2018
Date first made open access:18 December 2019

Save or Share this output

Export:
Export
Look up in GoogleScholar