Fire Risk Analysis in Large Multi-Compartment Structures Using a Hybrid Multiscale Approach

This paper proposes a hybrid multiscale approach to evaluate the fire performance of large multicompartment structures. A probabilistic network model is at the core of the proposed approach, whose inputs, namely the mean durations of the fire phases and fire transmission through the barriers between...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences 2022-05, Vol.12 (9), p.4123
Main Authors: Dizet, Nina, Porterie, Bernard, Pizzo, Yannick, Mense, Maxime, Sardoy, Nicolas, Alibert, David, Louiche, Julien, Porterie, Timothé, Pouschat, Priscilla
Format: Article
Language:English
Subjects:
CFD model
Compartments
Computational fluid dynamics
Computer applications
Design
Engineering Sciences
Experiments
fire map
fire safety
Fluid dynamics
hybrid multiscale approach
Hydrodynamics
Multiscale analysis
network model
Office buildings
Propagation
Risk analysis
Risk reduction
Statistical analysis
Ventilation
zone model
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes a hybrid multiscale approach to evaluate the fire performance of large multicompartment structures. A probabilistic network model is at the core of the proposed approach, whose inputs, namely the mean durations of the fire phases and fire transmission through the barriers between compartments (e.g., walls or ventilation ducts), are determined beforehand by a zone model, which is detailed in a companion paper and a one-dimensional computational fluid dynamics code. Next, a proof of concept is developed by applying the hybrid approach to different fire scenarios in a full-scale generic military corvette and a four-story office building. The simulation results highlight the strengths and limitations of the proposed approach. Regarding the latter, a field model is used to evaluate how the hybrid approach performs depending on the interaction between the entire building system and its ventilation and the fire. Finally, a statistical study is carried out to produce fire vulnerability and risk maps, ranking the fire compartments according to their vulnerability or propensity to generate serious fires.
ISSN:2076-3417
2076-3417
DOI:10.3390/app12094123