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New models for calculating maximum gas temperatures in large tunnel fires
RISE - Research Institutes of Sweden, Safety and Transport, Safety. (Tunnel and Underground Space Safety)ORCID iD: 0000-0001-7744-2390
RISE - Research Institutes of Sweden, Safety and Transport, Safety. (Tunnel and Underground Space Safety)ORCID iD: 0000-0002-9340-6768
2016 (English)Report (Other academic)
Abstract [en]

The work presented in this report focuses on estimating maximum gas temperatures at ceiling level during large tunnel fires. Gas temperature is an important parameter to consider when designing the fire resistance of a tunnel structure. Earlier work by the authors has established correlations between excess ceiling gas temperature and effective tunnel height, ventilation rate, and heat release rate. The maximum possible excess gas temperature was set as 1350°C, independent of the tunnel structure and local combustion conditions. As a result of this research, two models have been developed to better estimate possible excess maximum gas temperatures for large tunnel fires in tunnels with differing lining materials and structure types (e.g. rock, concrete). These have been validated using both model- and full-scale tests. Comparisons of predicted and measured temperatures show that both models correlate well with the test data. However, Model I is better and more optimal, due to the fact that it is more conservative and easier to use. The fire duration and flame volume are found to be related to gas temperature development. In reality, the models could also be used to estimate temperatures in a fully developed compartment fire.

Place, publisher, year, edition, pages
Borås, 2016. , p. 53
Series
SP Rapport, ISSN 0284-5172 ; 2016:95
Keywords [en]
Gas temperature, tunnel structure, maximum ceiling temperature, velocity, heat release rate, ceiling height, tunnel cross-section
National Category
Transport Systems and Logistics Other Civil Engineering Infrastructure Engineering Chemical Process Engineering Applied Mechanics Other Physics Topics
Identifiers
URN: urn:nbn:se:ri:diva-29721OAI: oai:DiVA.org:ri-29721DiVA, id: diva2:1097893
Funder
Swedish Transport AdministrationAvailable from: 2017-05-23 Created: 2017-05-23 Last updated: 2023-06-08Bibliographically approved

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Li, Ying ZhenIngason, Haukur

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