A Review of Modelling and Simulation Methods for Flashover Prediction in Confined Space Fires
Confined space fires are common emergencies in our society. Enclosure size, ventilation, or type and quantity of fuel involved are factors that determine the fire evolution in these situations. In some cases, favourable conditions may give rise to a flashover phenomenon. However, the difficulty of h...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/16/5609 |
| _version_ | 1797558377813901312 |
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| author | Daniel Cortés David Gil Jorge Azorín Florian Vandecasteele Steven Verstockt |
| author_facet | Daniel Cortés David Gil Jorge Azorín Florian Vandecasteele Steven Verstockt |
| author_sort | Daniel Cortés |
| collection | DOAJ |
| description | Confined space fires are common emergencies in our society. Enclosure size, ventilation, or type and quantity of fuel involved are factors that determine the fire evolution in these situations. In some cases, favourable conditions may give rise to a flashover phenomenon. However, the difficulty of handling this complicated emergency through fire services can have fatal consequences for their staff. Therefore, there is a huge demand for new methods and technologies to tackle this life-threatening emergency. Modelling and simulation techniques have been adopted to conduct research due to the complexity of obtaining a real cases database related to this phenomenon. In this paper, a review of the literature related to the modelling and simulation of enclosure fires with respect to the flashover phenomenon is carried out. Furthermore, the related literature for comparing images from thermal cameras with computed images is reviewed. Finally, the suitability of artificial intelligence (AI) techniques for flashover prediction in enclosed spaces is also surveyed. |
| first_indexed | 2024-03-10T17:30:38Z |
| format | Article |
| id | doaj.art-6513336f16474d6daf0be7db12da7e13 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T17:30:38Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-6513336f16474d6daf0be7db12da7e132023-11-20T10:02:05ZengMDPI AGApplied Sciences2076-34172020-08-011016560910.3390/app10165609A Review of Modelling and Simulation Methods for Flashover Prediction in Confined Space FiresDaniel Cortés0David Gil1Jorge Azorín2Florian Vandecasteele3Steven Verstockt4Department of Computer Technology, Universidad de Alicante, 03690 Alicante, SpainDepartment of Computer Technology, Universidad de Alicante, 03690 Alicante, SpainDepartment of Computer Technology, Universidad de Alicante, 03690 Alicante, SpainELIS Department, Research group IDLab, Ghent University—IMEC, 9052 Ghent, BelgiumELIS Department, Research group IDLab, Ghent University—IMEC, 9052 Ghent, BelgiumConfined space fires are common emergencies in our society. Enclosure size, ventilation, or type and quantity of fuel involved are factors that determine the fire evolution in these situations. In some cases, favourable conditions may give rise to a flashover phenomenon. However, the difficulty of handling this complicated emergency through fire services can have fatal consequences for their staff. Therefore, there is a huge demand for new methods and technologies to tackle this life-threatening emergency. Modelling and simulation techniques have been adopted to conduct research due to the complexity of obtaining a real cases database related to this phenomenon. In this paper, a review of the literature related to the modelling and simulation of enclosure fires with respect to the flashover phenomenon is carried out. Furthermore, the related literature for comparing images from thermal cameras with computed images is reviewed. Finally, the suitability of artificial intelligence (AI) techniques for flashover prediction in enclosed spaces is also surveyed.https://www.mdpi.com/2076-3417/10/16/5609flashoverartificial intelligenceCFD softwarepredictionthermal vision camerathermal image |
| spellingShingle | Daniel Cortés David Gil Jorge Azorín Florian Vandecasteele Steven Verstockt A Review of Modelling and Simulation Methods for Flashover Prediction in Confined Space Fires Applied Sciences flashover artificial intelligence CFD software prediction thermal vision camera thermal image |
| title | A Review of Modelling and Simulation Methods for Flashover Prediction in Confined Space Fires |
| title_full | A Review of Modelling and Simulation Methods for Flashover Prediction in Confined Space Fires |
| title_fullStr | A Review of Modelling and Simulation Methods for Flashover Prediction in Confined Space Fires |
| title_full_unstemmed | A Review of Modelling and Simulation Methods for Flashover Prediction in Confined Space Fires |
| title_short | A Review of Modelling and Simulation Methods for Flashover Prediction in Confined Space Fires |
| title_sort | review of modelling and simulation methods for flashover prediction in confined space fires |
| topic | flashover artificial intelligence CFD software prediction thermal vision camera thermal image |
| url | https://www.mdpi.com/2076-3417/10/16/5609 |
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