Martin Veit (Author), Andrea Lucherini (Author), Georgios Maragkos (Author), Bart Merci (Author)

Abstract

The total wall time is often difficult to predict a priori in compartment fire simulations due to dynamic phenomena that can occur, e.g., flame extinction. The wall time is dependent on multiple physical factors in the simulation, along with simulation factors and the system used to compute the model. Specifically, the CFL number of a simulation is highly influential to the wall time, as this restricts the time step size. In this paper, the prediction of the total wall time for a single-compartment fire is investigated considering varying fire heat release rates and compartment ventilation factors. It is shown that an increasing heat release rate increases the total wall time due to higher velocities inside the compartment. Furthermore, when the compartment becomes under-ventilated, the wall time becomes more difficult to predict early on in the simulation, as steady state conditions are reached later, compared to well-ventilated cases. The time at which the wall time can be accurately predicted changed from a few physical seconds in the well-ventilated case, to up to 60 physical seconds for the under-ventilated case.

Keywords

simulacije;računalniška dinamika tekočin;simulator požarne dinamike;stenski čas;simulations;computational fluid dynamics;fire dynamics simulator;wall time;

Data

Language: English
Year of publishing:
Typology: 1.08 - Published Scientific Conference Contribution
Organization: ZAG - Slovenian National Building and Civil Engineering Institute
Publisher: Institute of Physics Publishing
UDC: 53
COBISS: 219028227 Link will open in a new window
ISSN: 1742-6596
Views: 27
Downloads: 10
Average score: 0 (0 votes)
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Other data

Secondary language: Slovenian
Secondary keywords: simulacije;računalniška dinamika tekočin;simulator požarne dinamike;stenski čas;
Source comment: Nasl. z nasl. zaslona; Opis vira z dne 13. 12. 2024; Št. prispevka: 012100;
Pages: Str. 1-6
DOI: 10.1088/1742-6596/2885/1/012100
ID: 25535545