Analysis of smoke movement in the Hsuehshan tunnel fire

Chen, Yu-Jen; Shu, Chi‐Min; Ho, San-Ping; Kung, Hsiang-Cheng; Chien, Shen‐Wen; Ho, Hsin-Hsiu; Hsu, W. S.

doi:10.1016/j.tust.2018.11.007

Cited by 21 publications

(5 citation statements)

References 11 publications

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“…where µ LES is the turbulent viscosity coefficient at a subgrid scale, C s is the Smagorinsky constant, u i , u j are the velocity components in x and y direction, and x i , x j represent the Cartesian coordinates. for fire simulation [25,26]. In this method, it is necessary to input the curve of the HRRPUA and the ignition temperature of each structural material (as shown in Section 2.3).…”

Section: Governing Equationsmentioning

confidence: 99%

Influence of the primary components of the high-speed train on fire heat release rate

2023

Archives of Thermodynamics

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A numerical model of the high-speed train carriage fire is established in this study. The influence of ceilings, sidewalls, luggage racks, seats, and floors on the heat release rate (HRR) of the high-speed train is studied by numerical methods. The results indicate that the heat release rate per unit area (HRRPUA) of ceiling and seat material dramatically influences the peak HRR and the time to peak HRR of train carriage fire. When the peak HRRPUA of interior ceiling material 1 decreases from 326 to 110 kW/m 2 , the peak HRR of the high-speed train fire decreases from 36.4 to 16.5 MW, with a reduction ratio of 54.7%. When seat materials with low HRRPUA are used, the peak HRR reduction ratio is 44.8%. The HRRPUA of the sidewall, luggage rack, and floor materials has little effect on the peak HRR of the carriage fire. However, the non-combustible luggage rack can delay the time when the HRR reaches its peak.

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Section: Governing Equationsmentioning

confidence: 99%

Influence of the primary components of the high-speed train on fire heat release rate

2023

Archives of Thermodynamics

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“…CFD is widely employed and validated in industry for solving fluid problems , with immediate applications in the calculation of ventilation flows in all kinds of systems, as shown by Ballesteros-Tajadura et al (2006) and Hargreaves and Lowndes (2007), with particular relevance in multiphase studies of fire situations (Galdo Vega et al 2008;Yuan and You, 2007). Chen et al (2019) used CFD to simulate fire and smoke movement in a serious fire incident in a road tunnel.…”

Section: Introductionmentioning

confidence: 99%

Investigation of a conveyor belt fire in an underground coal mine: Experimental studies and CFD analysis

Aksoy,

Fişne

et al. 2024

J. S. Afr. Inst. Min. Metall.

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Coal produced in underground mines is transported to the surface by means of conveyor belts throughout long roadways. The combustion of belts puts a large number of employees at great risk. Underground collieries differ from other underground mines -due to the combustible nature of the product. The most prevalent cause of belt fires in underground coal mine is spontaneous combustion due to oxidation of the coal, which also enables the conveyor belt to burn over time. In 2014, a belt fire in an underground coal mine in Manisa-Soma, Turkey caused 301 fatalities. A study has been conducted on this accident for approximately 3 years, consisting of combustion tests in a purpose-built research gallery, comparison of the test results with mine records of the accident, and CFD modelling of the mine environment. The intensity of the fire was sufficient to redirect the air flow underground, causin large amounts of toxic gases to fill almost the entire mine in approximately 15 minutes. It is recommended that CFD analysis be used in planning emergency action strategies in underground mines.

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“…In the literature, only a limited number of full-scale tunnel validation studies can be found [3,21,22,23]. It is partly because of the extremely simple spatial representation of tunnels and physical objects which does not support any curved or rounded shapes.…”

Section: Introductionmentioning

confidence: 99%

Computing Aspects of Simulation Based on Conservation Laws Conducted on HPC Cluster

Weisenpacher

Valasek

Glasa

2023

cai

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The large amount of computing resources required for the simulation of complex natural processes demands a thorough analysis of the efficiency of the calculations and the conditions that influence it. This study investigates computing aspects of fire simulation conducted on a compute cluster. Current fire simulators based on principles of computational fluid dynamics are capable to realistically model majority of complex phenomena related to fire. Fire simulations are highly computationally demanding itself, however, they often lead to extensive parametrical studies requiring high performance computing systems. Smoke stratification and visibility during fire in a road tunnel with two emergency lay-bys are investigated by parametrical study comprising of 24 fire scenarios with the tunnel geometry modifications and various heat release rates and fire locations. Main tendencies of smoke spread in the downstream lay-by are identified and their mutual interactions are analysed. The simulation efficiency of particular simulations is analysed and the reasons of their varied elapsed times are investigated. The analysis indicates that the main reason of this variability are different jet fans velocities influenced by simulation scenario settings.

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Analysis of smoke movement in the Hsuehshan tunnel fire

Cited by 21 publications

References 11 publications

Influence of the primary components of the high-speed train on fire heat release rate

Influence of the primary components of the high-speed train on fire heat release rate

Investigation of a conveyor belt fire in an underground coal mine: Experimental studies and CFD analysis

Computing Aspects of Simulation Based on Conservation Laws Conducted on HPC Cluster

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