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Development of a hybrid field/zone fire model

Development of a hybrid field/zone fire model

Burton, Daniel, Grandison, Angus, Patel, Mayur, Galea, Edwin and Ewer, John (2011) Development of a hybrid field/zone fire model. In: Fire Safety Science - Proceedings of the Tenth International Symposium. IAFSS Symposiums (10). International Association for Fire Safety Science, Greenwich, London, UK, pp. 1373-1385. ISSN 1817-4299 (doi:10.3801/IAFSS.FSS.10-1373)

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Abstract

A novel hybrid field/zone fire model, coupling the SMARTFIRE CFD fire model to both the CFAST zone model and a custom zone model is presented. The intention of the hybrid model is to reduce the computational overheads incurred in using fire field models to simulate large geometries such as large buildings or large passenger ships, while maintaining the accuracy of the fire field model. In using the hybrid model, only the most important parts of the geometry are fully modeled using the field model. Other less important parts of the geometry are modeled using the zone model. From the field model’s perspective, the zone model is used to represent parts of the geometry as an accurate boundary condition. By using this approach, many computational cells are replaced by a simple zone model, saving computational costs. Two tests cases demonstrating the technique are presented. It is shown that the hybrid approach is capable of producing reasonably accurate predictions of fire development while substantially reducing computational costs. It is shown that by removing some 56% of the CFD solution domain, the hybrid case can achieve a saving of 48% in the run time.

Item Type: Conference Proceedings
Title of Proceedings: Fire Safety Science - Proceedings of the Tenth International Symposium
Additional Information: [1] This paper was first presented at the 10th International IAFSS Symposium, (Symposium 10), held from 19-24 June 2011, in College Park, Maryland, USA.
Uncontrolled Keywords: hybrid field/zone fire model, SMARTFIRE, CFD fire model, CFAST zone model
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Computer Science
Related URLs:
Last Modified: 14 Oct 2016 09:19
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/7702

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