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“Scaling-up” fire spread on wood cribs to predict a large-scale travelling fire test using CFD

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Abstract

Simulation-based approaches for characterising the fire behaviour of travelling fires in large compartments are a potentially valuable complement to experimental studies, providing useful insights on evolving boundary conditions for structural response. They admit the possibility of carrying out systematic parametric studies decoupled from experimental uncertainties, however, sufficiently general models have not been previously demonstrated. Here, we explore the potential for “scaling-up” a “stick-by-stick” CFD model which had been carefully calibrated for the case of an isolated crib, of 2.8 m diameter, to a uniformly distributed fuel bed of extent 4.2 m × 14.0 m located within an open compartment 9 × 15 m in plan, with internal height 2.9 m. The results in terms of the fire spread and burnout predictions are very encouraging, and the heat release rate evolution is also consistent with the experimental value. Furthermore, there is a relatively good match of predicted and measured incident radiant fluxes during the fire spread on the wood cribs.

Discrepancies in predicted post fire fluxes and gas phase temperatures can be attributed to the effects of wind on the fire plume (not modelled) and deficiencies in representation of heat transfer from the glowing embers. These factors are expected to have a modest impact on the prediction of fire spread on a horizontally-orientated flat fuel bed, the prime interest of the current work. Thus, the established “numerical simulator” looks to have good potential as a tool to explore and characterise the behaviour of travelling fires subject to different compartment boundary conditions.
Original languageEnglish
Article number103589
Pages (from-to)1-22
Number of pages22
JournalAdvances in Engineering Software
Volume189
Issue number2024
Early online date2 Feb 2024
DOIs
Publication statusPublished (in print/issue) - 31 Mar 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s)

Data Availability Statement

Data will be made available on request.

Funding

This work was carried out in the frame of the TRAFIR project with funding from the Research Fund for Coal and Steel (grant N°754198). Partners are ArcelorMittal Belval & Differdange, Liège Univ. the Univ. of Edinburgh, RISE Research Inst. of Sweden and the Univ. of Ulster. This work used the ARCHER UK National Supercomputing Service (http://www.archer.ac.uk), and assistance of relevant administrators is acknowledged. The authors are grateful to EPSRC (grant number: EP/R029369/1) and ARCHER for financial and computational support as a part of their funding to the UK Consortium on Turbulent Reacting Flows (www.ukctrf.com). The UKCTRF Consortium benefits from the support of CoSeC, the Computational Science Centre for Research Community. SAFE MSc student Weitian Lu at the University of Edinburgh is acknowledged for his assistance on extracting the incidental heat fluxes dataset from the CFD model for Fig. 30. The authors would like to thank many students from the University of Ulster and University of Edinburgh who contributed to the experiment and analysis of the test data. This work was carried out in the frame of the TRAFIR project with funding from the Research Fund for Coal and Steel (grant N°754198 ). Partners are ArcelorMittal Belval & Differdange, Liège Univ., the Univ. of Edinburgh, RISE Research Inst. of Sweden and the Univ. of Ulster. This work used the ARCHER UK National Supercomputing Service ( http://www.archer.ac.uk ), and assistance of relevant administrators is acknowledged. The authors are grateful to EPSRC (grant number: EP/R029369/1 ) and ARCHER for financial and computational support as a part of their funding to the UK Consortium on Turbulent Reacting Flows ( www.ukctrf.com ). The UKCTRF Consortium benefits from the support of CoSeC, the Computational Science Centre for Research Community. SAFE MSc student Weitian Lu at the University of Edinburgh is acknowledged for his assistance on extracting the incidental heat fluxes dataset from the CFD model for Fig. 30 . The authors would like to thank many students from the University of Ulster and University of Edinburgh who contributed to the experiment and analysis of the test data.

FundersFunder number
Engineering and Physical Sciences Research CouncilEP/R029369/1
754198

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure
    2. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities
    3. SDG 12 - Responsible Consumption and Production
      SDG 12 Responsible Consumption and Production

    Keywords

    • Flame spread
    • CFD modelling
    • FDS
    • Large-scale wood crib fire tests
    • Travelling fires

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