SMARTFIRE: an intelligent CFD based fire model
Ewer, J. ORCID: https://orcid.org/0000-0003-0609-272X, Galea, E.R. ORCID: https://orcid.org/0000-0002-0001-6665, Patel, M.K., Taylor, S., Knight, B. and Petridis, M. (1999) SMARTFIRE: an intelligent CFD based fire model. Journal of Fire Protection Engineering, 10 (1). pp. 13-27. ISSN 1042-3915 (Print), 1532-172X (Online) (doi:10.1177/104239159901000102)
Full text not available from this repository.Abstract
This paper describes a project aimed at making Computational Fluid Dynamics (CFD)- based fire simulation accessible to members of the fire safety engineering community. Over the past few years, the practice of CFD-based fire simulation has begun the transition from the confines of the research laboratory to the desk of the fire safety engineer. To a certain extent, this move has been driven by the demands of performance based building codes. However, while CFD modeling has many benefits over other forms of fire simulation, it requires a great deal of expertise on the user’s part to obtain reasonable simulation results. The project described in this paper, SMARTFIRE, aims to relieve some of this dependence on expertise so that users are less concerned with the details of CFD analysis and can concentrate on results. This aim is achieved by the use of an expert system component as part of the software suite which takes some of the expertise burden away from the user. SMARTFIRE also makes use of the latest developments in CFD technology in order to make the CFD analysis more efficient. This paper describes design considerations of the SMARTFIRE software, emphasizing its open architecture, CFD engine and knowledge-based systems.
Item Type: | Article |
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Additional Information: | [1] The Journal of Fire Protection Engineering has now been merged with Fire Technology and is no longer published by SAGE. [2] CMS Ref. No: 99/16. |
Uncontrolled Keywords: | Computational Fluid Dynamics, (CFD, fire simulation, SMARTFIRE, fire modelling |
Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > TC Hydraulic engineering. Ocean engineering |
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: | |
Last Modified: | 18 Feb 2020 16:03 |
URI: | http://gala.gre.ac.uk/id/eprint/175 |
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