Cross, Mark, Stoyanov, Stoyan ORCID: 0000-0001-6091-1226 , Mouchmov, Apostol, Lu, Hua ORCID: 0000-0002-4392-6562 , Croft, Nick, Slone, Avril, Williams, Alison, Bailey, Chris ORCID: 0000-0002-9438-3879 and Pericleous, Koulis ORCID: 0000-0002-7426-9999 (2003) Multi-physics-multi-scale simulation and optimisation: the next generation. In: NAFEMS World Congress, 2003, Orlando, Florida, USA.

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Abstract

FEA and CFD analysis is becoming ever more complex with an emerging demand for simulation software technologies that can address ranges of problems that involve combinations of interactions amongst varying physical phenomena over a variety of time and length scales. Computation modelling of such problems requires software technologies that enable the representation of these complex suites of 'physical' interactions. This functionality requires the structuring of simulation modules for specific physical phemonmena so that the coupling can be effectiely represented. These 'multi-physics' and 'multi-scale' computations are very compute intensive and so the simulation software must operate effectively in parallel if it is to be used in this context. Of course the objective of 'multi-physics' and 'multi-scale' simulation is the optimal design of engineered systems so optimistation is an important feature of such classes of simulation. In this presentation, a multi-disciplinary approach to simulation based optimisation is described with some key examples of application to challenging engineering problems.

Item Type:	Conference or Conference Paper (Paper)
Additional Information:	[1] This paper was first presented at the 2003 NAFEMS World Congress held in Orlando, Florida, USA.
Uncontrolled Keywords:	multi-physics, multi-scale simulations, computational modelling
Subjects:	Q Science > QA Mathematics > QA76 Computer software Q Science > QC Physics T Technology > TJ Mechanical engineering and machinery
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 > Department of Computer Systems Technology School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:	Publisher
Last Modified:	20 Mar 2019 11:54
URI:	http://gala.gre.ac.uk/id/eprint/697

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