Assessment of Numerical Simulation Capabilities of the Fire Dynamics Simulator (FDS 6) for Planar Air Curtain Flows

Yu, Longxing; Beji, Tarek; Maragkos, Georgios; Liu, Fang; Weng, Miaocheng; Merci, Bart

doi:10.1007/s10694-018-0701-7

Cited by 14 publications

(6 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies have proved that FDS could accurately predict the qualitative and quantitative fire behaviors [41][42][43][44], by applying Large Eddy Simulation (LES).…”

Section: Mathematical Model and Numerical Settingmentioning

confidence: 99%

Experimental and numerical study of the effects of ullage height on plume flow and combustion characteristics of pool fires

Liu

Jangi

et al. 2021

Process Safety and Environmental Protection

View full text Add to dashboard Cite

“…Previous studies have proved that FDS could accurately predict the qualitative and quantitative fire behaviors [41][42][43][44], by applying Large Eddy Simulation (LES).…”

Section: Mathematical Model and Numerical Settingmentioning

confidence: 99%

Experimental and numerical study of the effects of ullage height on plume flow and combustion characteristics of pool fires

Liu

Jangi

et al. 2021

Process Safety and Environmental Protection

View full text Add to dashboard Cite

“…The validity and modeling uncertainty of these tools for fire engineering calculations has been investigated and reported by numerous studies. For example, using FDS, Lee [1] accurately simulated the tunnel fires, Shen [2] and Drean [3] predicted the building fires and Yu [4] simulated the momentum-driven jet flows. Similarly, using fireFOAM, Zadeh [5] predicted the turbulent air plume induced ceiling jet and using ANSYS fluent Jujuly [6] simulated the liquefied natural gas (LNG) pool fire.…”

Section: Introductionmentioning

confidence: 99%

Propagation of Model Uncertainty in the Stochastic Simulations of a Compartment Fire

Paudel

Hostikka

2019

Fire Technol

View full text Add to dashboard Cite

Model validation and probabilistic simulations are routinely used for quantifying the uncertainties originating from the numerical models and their inputs, respectively. How the two uncertainty types combine in the context of fire risk analyses is not well understood. In this work, we study the propagation of modeling uncertainty to the predicted distributions of probabilistic fire simulations using model validation data representing an uncertain compartment fire scenario. The wall temperatures are predicted in three different ways: one using a coupled model in which the input is the fire heat release rate, and two models using a standalone conduction solver and either experimentally or numerically (CFD) determined heat flux as a boundary condition. Using the predicted wall temperatures, we calculated demonstrative wall failure probabilities assuming different critical threshold temperatures. We propose a simple method for correcting the simulated distributions and probabilities towards the experimentally observed ones. The simulation results with the Fire Dynamics Simulator show that the obtained uncertainties of this particular validation set are similar to the ones reported in the validation guide. In average, the most accurate model over-predicts wall temperature by $ 5.0% and the prediction uncertainty for both gas phase and solid phase temperature is $ 10%. The wall temperatures predicted from the measured heat-fluxes show higher modeling uncertainty than the ones predicted by a coupled model of the entire gas-wall system. The proposed correction method is shown to improve the accuracy of the predicted distributions for internal wall temperatures at different times. In practical applications, this would lead to more accurate estimates of the time-dependent failure probabilities.

show abstract

“…Therefore, a study based on the reproduction of the situation in the same structure as that of the building in which the fire occurred is required to reveal the flame behaviors at the time of the fire more accurately. The data collection methods in this research include a real-scale fire test [10][11][12][13][14][15][16][17], in which the main part or the whole structure where the fire occurred is constructed and a fire is intentionally generated [10][11][12][13][14][15][16], and a fire simulation, in which data are collected by computer simulation of the structure [18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

“…Fire simulation is a computer programming technique used to predict and analyze possible damage based on flame spread behavior, smoke spread shape, visible distance, temperature, CO concentration, and CO 2 concentration in the event of a fire in a virtual space of a house or building. The fire dynamics simulator (FDS) is the most widely used simulation tool to analyze the flame and smoke behavior in the event of a large-scale fire for performance-based fire protection design [18][19][20][21]25,26] because it can reproduce actual building shapes and structures larger than those that can be implemented in real-scale fire tests. However, owing to the nature of the FDS, which is based on hydrodynamic and thermodynamic analyses, it has limited accuracy.…”

Section: Introductionmentioning

confidence: 99%

Fire Spread of Thermal Insulation Materials in the Ceiling of Piloti-Type Structure: Comparison of Numerical Simulation and Experimental Fire Tests Using Small- and Real-Scale Models

Suh

Park

et al. 2019

Sustainability

View full text Add to dashboard Cite

Large-scale fires mainly due to the ignition of thermal insulation materials in the ceiling of piloti-type structures are becoming frequent. However, the fire spread in these cases is not well understood. Herein we performed small-scale and real-scale model tests, and numerical simulations using a fire dynamics simulator (FDS). The experimental and FDS results were compared to elucidate fire spread and effects of thermal insulation materials on it. Comparison of real-scale fire test and FDS results revealed that extruded polystyrene (XPS) thermal insulation material generated additional ignition sources above the ceiling materials upon melting and propagated and sustained the fire. Deformation of these materials during fire test generated gaps, and combustible gases leaked out to cause fire spread. When the ceiling materials collapsed, air flew in through the gaps, leading to flashover that rapidly increased fire intensity and degree of spread. Although the variations of temperatures in real-scale fire test and FDS analysis were approximately similar, melting of XPS and generation of ignition sources could not be reproduced using FDS. Thus, artificial settings that increase the size and intensity of ignition sources at the appropriate moment in FDS were needed to achieve results comparable to those recorded by heat detectors in real-scale fire tests.

show abstract

Assessment of Numerical Simulation Capabilities of the Fire Dynamics Simulator (FDS 6) for Planar Air Curtain Flows

Cited by 14 publications

References 35 publications

Experimental and numerical study of the effects of ullage height on plume flow and combustion characteristics of pool fires

Experimental and numerical study of the effects of ullage height on plume flow and combustion characteristics of pool fires

Propagation of Model Uncertainty in the Stochastic Simulations of a Compartment Fire

Fire Spread of Thermal Insulation Materials in the Ceiling of Piloti-Type Structure: Comparison of Numerical Simulation and Experimental Fire Tests Using Small- and Real-Scale Models

Contact Info

Product

Resources

About