Cross, Mark, Croft, Nick, Slone, Avril, Williams, Alison, Christakis, Nicholas, Patel, Mayur, Bailey, Christopher ORCID: https://orcid.org/0000-0002-9438-3879 and Pericleous, Koulis A. ORCID: https://orcid.org/0000-0002-7426-9999 (2007) Computational modelling of multi-physics and multi-scale processes in parallel. International Journal for Computational Methods and Engineering Science and Mechanics, 8 (2). pp. 63-74. ISSN 1550-2287 (doi:10.1080/15502280601149510)

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Abstract

This paper provides an overview of the developing needs for simulation software technologies for the computational modelling of problems that involve combinations of interactions amongst varying physical phenomena over a variety of time and space scales. Computational modelling of such problems requires software tech1nologies that enable the mathematical description of the interacting physical phenomena together with the solution of the resulting suites of equations in a numerically consistent and compatible manner. This functionality requires the structuring of simulation modules for specific physical phenomena so that the coupling can be effectively represented. These multi-physics and multi-scale computations are very compute intensive and the simulation software must operate effectively in parallel if it is to be used in this context. An approach to these classes of multi-disciplinary simulation in parallel is described, with some key examples of application to2 challenging engineering problems.

Item Type:	Article
Uncontrolled Keywords:	multi-physics, multi-scale, parallel, casting, granular flow
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
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 > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group School of Computing & Mathematical Sciences > Department of Computer Systems Technology School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:	Organisation Organisation Organisation Organisation Organisation Publisher
Last Modified:	13 Mar 2019 11:32
URI:	http://gala.gre.ac.uk/id/eprint/986

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