Calibrating an FDS Simulation of Goods-vehicle Fire Growth in a Tunnel Using the Runehamar Experiment

Cheong, M. K.; Spearpoint, Michael; Fleischmann, Charles

doi:10.1177/1042391508101981

Cited by 39 publications

(15 citation statements)

References 10 publications

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“…Important parameters considered for modelling as listed in table-2 [9, 10, 11, and 12]. Cheong, Spearpoint & Fleischmann [9] reproduced the Runehamar tunnel fire growth curves using numerical simulation and calibrating using FDS v4.0.7. The heat release curve was reproduced using a grid size of 300mm.…”

Section: Modelling/simulation Detailsmentioning

confidence: 99%

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Behaviour of tunnel lining material in road tunnel fire

Tomar

Khurana

Singh³

2018

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The worldwide road tunnel linings are protected against possible fire scenarios to safeguard the structure and assist in occupant evacuation. There are various choices of active and passive protection available, passive protections includes calcium silicate boards, polypropylene fibers, vermiculite cement based sprays, and other intumescent materials. Tunnel fire is a complex phenomenon and researchers in the past has highlighted that there are various factors which affect the tunnel fires. The effect of passive protection techniques on tunnel fire is not well understood, especially for the insulation boards. It's been understood from past research that for a heavy good vehicular (HGV) fire in the tunnel, the heat feedback effect is significant. Insulation boards may also affect the tunnel fires by altering the heat feedback effect in vehicular tunnels and hence this can affect the overall heat release rates and temperature profile inside a tunnel. This study focuses on studying the role of insulation boards in tunnel fires and evaluating its effect on overall heat release rate and tunnel temperatures.

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Section: Modelling/simulation Detailsmentioning

confidence: 99%

“…Present study focuses to study the fire conditions of test-1, as this experiment resulted in highest peak HRR of 202 MW. [8,9].…”

Section: Introductionmentioning

confidence: 99%

Behaviour of tunnel lining material in road tunnel fire

Tomar

Khurana

Singh³

2018

IOP Conf. Ser.: Mater. Sci. Eng.

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“…Advanced Computational Fluid Dynamic (CFD) models were developed to simulate the fire scenarios in the tunnel. FDS software (McGrattan et al2010) was chosen to model the fire event because it has been widely tested on tunnel fires (see for example the works of McGrattan (2006) and Cheong et al (2009)). The software solves numerically a large eddy simulation form of the Navier-Stokes equations with the emphasis on smoke and heat transport.…”

Section: Computational Fluid Dynamic Modelsmentioning

confidence: 99%

Improving tunnel resilience against fires: A new methodology based on temperature monitoring

Rinaudo

Payá-Zaforteza

Calderón

2016

Tunnelling and Underground Space Technology

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Monitoring temperatures during tunnel fires is of major importance for both the firefighters extinguishing the fire, and the engineers in charge of the subsequent repair work. However, current methods of assessing fire damage have limitations when applied to tunnels and only provide estimates of the maximum fire temperatures at specific locations of the tunnel. This is not a desirable situation, as the temperature-time curves associated with the fire event should be available for use in assessing the residual strength of the tunnel structure. This is the key parameter in defining repair work and the length of time the tunnel will need to be closed and thus the socioeconomic cost of the tunnel fire. In addition, real-time recording of the temperature-time curves would provide valuable information to the firefighters engaged in extinguishing the fire. This paper presents a new general methodology for the optimal placement of sensors in a tunnel to obtain the temperature evolution at any point along its lining during a fire. The methodology was applied to the Virgolo Tunnel in Italy, in which 100 potential high-temperature sensor configurations were tested and a set of optimal sensor configurations was proposed. The results of the analysis show that: (a) the proper location of the sensors is crucial; (b) it is possible to define a set of sensor configurations that minimize the cost of the monitoring system and maximize the accuracy of the estimated temperatures; (c) it is important to place at least three high-temperature sensors in each monitored cross section (at the crown and symmetrically on the haunches/side walls). The proposed methodology improves tunnel resilience against fires, as it enables safer infrastructure and a faster and more economic recovery of the tunnel after a fire event.

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“…This adds uncertainty to the benchmarking process. Future work may consider benchmarking CAFE against other tunnel fire data such as that from the Runehamar experiment [28]. , respectively, run the entire tunnel length.…”

Section: Memorial Tunnel Fire Ventilation Test Programmentioning

confidence: 99%

Benchmarking of Container Analysis Fire Environment simulation using the memorial tunnel fire ventilation tests

Chalasani¹,

Greiner

Suo-Anttila³

2011

Journal of Fire Protection Engineering

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Previously, the US Nuclear Regulatory Commission performed simulations using fire dynamics simulator (FDS) software to predict the response of spent nuclear fuel transport packages in severe naturally ventilated tunnel fires. The long-range objective of the authors' current project is to predict the response of such a package to those tunnel fires using different computational methods. The first stage of the project, which is the subject of this article, is to determine the accuracy of Container Analysis Fire Environment (CAFE) computer simulations in predicting gas speed and temperature measurements made in forced-ventilated and naturally ventilated fires from the Memorial tunnel test series performed for the Massachusetts Highway Department in the 1990s. The CAFE simulations accurately predict the average heat release rate in both types of tests. Gas speeds and temperatures are obtained from the simulations at the same locations as for the measurements. For the forced-ventilated test, CAFE predicts those quantities more accurately upstream of the fire than downstream. In addition, the predictions are less accurate for the naturally ventilated test than they are for the forced-ventilated experiment. However, the accuracy of the CAFE prediction in the naturally ventilated test is on par with that from FDS.

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Calibrating an FDS Simulation of Goods-vehicle Fire Growth in a Tunnel Using the Runehamar Experiment

Cited by 39 publications

References 10 publications

Behaviour of tunnel lining material in road tunnel fire

Behaviour of tunnel lining material in road tunnel fire

Improving tunnel resilience against fires: A new methodology based on temperature monitoring

Benchmarking of Container Analysis Fire Environment simulation using the memorial tunnel fire ventilation tests

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