Ewer, J. ORCID: https://orcid.org/0000-0003-0609-272X, Galea, E.R. ORCID: https://orcid.org/0000-0002-0001-6665, Knight, B., Patel, M., Janes, D. and Petridis, M. (1998) Fire field modelling using the SMARTFIRE automated dynamic solution control environment. CMS Press, Greenwich, London, UK. ISBN 1899991387

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Abstract

SMARTFIRE is a fire field model based on an open architecture integrated CFD code and knowledge-based system. It makes use of the expert system to assist the user in setting up the problem specification and new computational techniques such as Group Solvers to reduce the computational effort involved in solving the equations. This paper concentrates on recent research into the use of artificial intelligence techniques to assist in dynamic solution control of fire scenarios being simulated using fire field modelling techniques. This is designed to improve the convergence capabilities of the software while further decreasing the computational overheads. The technique automatically controls solver relaxations using an integrated production rule engine with a blackboard to monitor and implement the required control changes during solution processing. Initial results for a two-dimensional fire simulation are presented that demonstrate the potential for considerable savings in simulation run-times when compared with control sets from various sources. Furthermore, the results demonstrate enhanced solution reliability due to obtaining acceptable convergence within each time step unlike some of the comparison simulations.

Item Type:	Book
Additional Information:	[1] CMS Press Paper No: 98/IM/41.
Uncontrolled Keywords:	fire modelling, field modelling, Computational Fluid Dynamics, CFD, expert system, artificial intelligence, SMARTFIRE
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General)
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 > Computer & Computational Science Research Group School of Computing & Mathematical Sciences > Department of Computer Science School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:	Publisher Organisation Organisation
Last Modified:	18 Feb 2020 16:03
URI:	http://gala.gre.ac.uk/id/eprint/201

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