Numerical and experimental study on flame spread over conveyor belts in a large-scale tunnel

Yuan, Liming; Mainiero, Richard J.; Rowland, James H.; Thomas, R.; Smith, Alex C.

doi:10.1016/j.jlp.2014.05.001

Cited by 26 publications

(40 citation statements)

References 10 publications

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“…Studies examining backlayering and critical velocity show that the critical velocity varies from 2.5 m/s to 3 m/s for the 10 MW to 100 MW fires [26,28,40,46,53]. Critical velocity varies based on the hydraulic diameter of a tunnel.…”

Section: Simulation Considerationmentioning

confidence: 99%

“…The cell size near the fire source plays a key role in the accuracy and stability of the numerical computation. A sufficiently fine grid can be achieved when the grid size is 0.1D* [35], where D* is representative of the characteristic length scale which corresponds to the total heat release rate of a fire plume [5,53]. The D* is defined by…”

Section: Geometry Initial and Boundary Conditionsmentioning

confidence: 99%

“…LES has been used extensively for the simulation of the fire in different research areas such as fire plume studies, flame height studies, plume temperature, mine fires, and etc. [17,19,20,22,25,32,33,35,53]. The formulation of the equations and the numerical algorithm are described elaborately in the FDS technical reference guide to which we refer the reader [36].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development of a Methodology for Interface Boundary Selection in the Multiscale Road Tunnel Fire Simulations

Haghighat¹,

Luxbacher

Lattimer

2018

Fire Technol

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Section: Simulation Considerationmentioning

confidence: 99%

Section: Geometry Initial and Boundary Conditionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of a Methodology for Interface Boundary Selection in the Multiscale Road Tunnel Fire Simulations

Haghighat¹,

Luxbacher

Lattimer

2018

Fire Technol

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“…Only the real HRR curves are needed for the input, not any user defined functions. The HRR curve for the conveyor belt fire shown in Figure 2 was obtained by Yuan et al (2014) in large-scale tests conducted in a ventilated tunnel. The belt tested was a styrene-butadiene rubber (SBR) belt that passed the 2G test, but not the Belt Evaluation Laboratory Test (BELT) as described in 30 CFR 14.20.…”

Section: Addition Of Two Time-dependent Fire Source Modelsmentioning

confidence: 99%

New improvements to MFIRE to enhance fire-modeling capabilities

Zhou¹,

Smith²,

Yuan³

2016

Mining Engineering

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NIOSH's mine fire simulation program, MFIRE, is widely accepted as a standard for assessing and predicting the impact of a fire on the mine ventilation system and the spread of fire contaminants in coal and metal/nonmetal mines, which has been used by U.S. and international companies to simulate fires for planning and response purposes. MFIRE is a dynamic, transient-state, mine ventilation network simulation program that performs normal planning calculations. It can also be used to analyze ventilation networks under thermal and mechanical influence such as changes in ventilation parameters, external influences such as changes in temperature, and internal influences such as a fire. The program output can be used to analyze the effects of these influences on the ventilation system. Since its original development by Michigan Technological University for the Bureau of Mines in the 1970s, several updates have been released over the years. In 2012, NIOSH completed a major redesign and restructuring of the program with the release of MFIRE 3.0. MFIRE's outdated FORTRAN programming language was replaced with an object-oriented C++ language and packaged into a dynamic link library (DLL). However, the MFIRE 3.0 release made no attempt to change or improve the fire modeling algorithms inherited from its previous version, MFIRE 2.20. This paper reports on improvements that have been made to the fire modeling capabilities of MFIRE 3.0 since its release. These improvements include the addition of fire source models of the t-squared fire and heat release rate curve data file, the addition of a moving fire source for conveyor belt fire simulations, improvement of the fire location algorithm, and the identification and prediction of smoke rollback phenomena. All the improvements discussed in this paper will be termed as MFIRE 3.1 and released by NIOSH in the near future.

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“…Lowndes et al proposed a novel discrete particle-based model to represent the physical presence, combustion and flame spread along the conveyor belt surface, using a gallery model about 2m*2m*31m [3]. Liming Yuan presents numerical and experimental results characterizing a conveyor belt fire in a large-scale tunnel using NIOSH Fire suppression facility, and developed A CFD model to simulate the flame spread over the conveyor belt in a mine entry [13]. In addition, Stefopoulos et al used VnetPC 2003 software to examine the design of an emergency ventilation system, which will provide the necessary control of smoke and heated gases within an underground warehouse facility, in case a fire occurs, and they also took three scenarios with different modification of the area into consideration and used regulators installation or stopping installation [14].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulating Long-Distance Emergency Rescue System for Belt Fire in Coal Mine

Shao¹,

Jiang²,

Wu³

et al. 2015

IJSIA

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The belt fire in coal mine has the characteristics of fast burning velocity, not easily extinguishing a fire and generating a great deal of poisonous and toxic gas. Once the belt fire happens, it will result in a large number of casualties and enormous property loss, which is one of the greatest disasters that influence on the safety production in coal mine. To reduce the number of casualties and property loss caused by belt fire, the longdistance emergency rescue system for belt fire is proposed, and used to directly import the poisonous and toxic gas produced by belt lane into return airway in order to guarantee the safety of staffs working in mining area. In order to research on how the efficiency of using the system and what the system has additional impact on the ventilation system, the present study applies the approach of numerical stimulation to establish the two-dimensional model of ventilation system. After the belt fire happens, and then this paper researches on the flow laws of poisonous and toxic gas, and explores the long-distance emergency rescue system for belt fire influencing on the ventilation system and controlling the poisonous and toxic gas. The current study yields the conclusions as follows: (1)

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Numerical and experimental study on flame spread over conveyor belts in a large-scale tunnel

Cited by 26 publications

References 10 publications

Development of a Methodology for Interface Boundary Selection in the Multiscale Road Tunnel Fire Simulations

Development of a Methodology for Interface Boundary Selection in the Multiscale Road Tunnel Fire Simulations

New improvements to MFIRE to enhance fire-modeling capabilities

Numerical Simulating Long-Distance Emergency Rescue System for Belt Fire in Coal Mine

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