Cross, M., McManus, K., Johnson, S.P., Ierotheou, C.S., Walshaw, C. ORCID: 0000-0003-0253-7779 , Bailey, C. ORCID: 0000-0002-9438-3879 and Pericleous, K.A. ORCID: 0000-0002-7426-9999 (1999) Computational modelling of multi-physics processes on high performance parallel computer systems. In: Allan, R.J., Guest, M.F., Simpson, A.D., Henty, D.S. and Nicole, D.A., (eds.) High-Performance Computing. Springer US, pp. 91-102. ISBN 978-0-306-46034-0 (doi:https://doi.org/10.1007/978-1-4615-4873-7_10)

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Abstract

The demands of the process of engineering design, particularly for structural integrity, have exploited computational modelling techniques and software tools for decades. Frequently, the shape of structural components or assemblies is determined to optimise the flow distribution or heat transfer characteristics, and to ensure that the structural performance in service is adequate. From the perspective of computational modelling these activities are typically separated into: • fluid flow and the associated heat transfer analysis (possibly with chemical reactions), based upon Computational Fluid Dynamics (CFD) technology • structural analysis again possibly with heat transfer, based upon finite element analysis (FEA) techniques.

Item Type:	Book Section
Additional Information:	[1] ISBN: 978-0-306-46034-0 (Print) 978-1-4615-4873-7 (Online). [2] Proceedings of ttle High-Performal'lCB Computing Initiallve (HPCI) Conference, held January 12 -14. 1998, in Manchester, England, UK.
Uncontrolled Keywords:	computational modelling, multi-physics processes, high performance, parallel computer systems
Subjects:	Q Science > QA Mathematics Q Science > QC Physics
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 > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group School of Computing & Mathematical Sciences > Computer & Computational Science Research Group School of Computing & Mathematical Sciences > Department of Computer Science School of Computing & Mathematical Sciences > Department of Computer Systems Technology School of Computing & Mathematical Sciences > Department of Mathematical Sciences School of Computing & Mathematical Sciences > eCentre
Related URLs:	Publisher
Last Modified:	13 Mar 2019 11:30
URI:	http://gala.gre.ac.uk/id/eprint/262

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