Franchini, A;
Galasso, C;
Torero, JL;
(2023)
Optimising the inherent fire capacity of structures.
Fire Safety Journal
, 141
, Article 103883. 10.1016/j.firesaf.2023.103883.
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Abstract
This paper introduces a structural design optimisation methodology aimed at minimising the consequences of a fire. The methodology considers the trade-off between implementing passive fire protection measures and enhancing a structure's “inherent fire capacity”, defined as its ability to retain integrity/functionality without additional fire safety measures. The feasibility of the methodology is demonstrated through the fire safety design of a single-span, steel girder bridge. The optimisation process generates multiple Pareto-optimal solutions for minimising the maximum bridge deflection after a given fire exposure time. Passive protection ensures the bridge's functionality when facing a heavy goods vehicle fire. In the case of exposure to a car fire, solutions requiring fire protection in specific limited girder regions are identified. The decision-making process is further supported by investigating the robustness of the solutions to uncertainties in material properties and the heat flux model.
| Type: | Article |
|---|---|
| Title: | Optimising the inherent fire capacity of structures |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.firesaf.2023.103883 |
| Publisher version: | https://doi.org/10.1016/j.firesaf.2023.103883 |
| Language: | English |
| Additional information: | © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Fire safety, Structural engineering, Optimisation, Probabilistic design, Passive protection, Inherent capacity |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10177835 |
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