Experimental study on smoke temperature distribution under different power conditions in utility tunnel

Zhao, Yongchang; Zhu, Guoqing; Gao, Yunji

doi:10.1016/j.csite.2018.03.002

Cited by 33 publications

(16 citation statements)

References 12 publications

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“…This situation occurs when the coating has been used for many years and has not been timely replaced. Third-party interference 1.61E-02 X 4 Industrial activity 8.10E-03 X 5 High water content 8.09E-03 X 6 Inhibitor failure 3.50E-03 X 7 Poor coating quality 1.67E-03 X 8 Incorrect material selection 1.53E-04 X 9 Aging 3.10E-02 X 10 H 2 S content overproof 6.24E-04 X 11 SO 2 content overproof 8.66E-03 X 12 Other acid media 1.04E-04 X 13 Incorrect pipe material selection 16 Weld flaw 3.64E-02 X 17 Mechanical damage 1.50E-02 X 18 Misoperation of supporting structure construction 1.80E-03 X 19 Incorrect maintenance 8.47E-03 X 20 Unreasonable operation 2.20E-03 To represent the consequences of a gas pipeline accident in a utility tunnel, eight intermediate nodes were implemented: one node of "Near Miss", "Poisoning", and "Catastrophic Damage"; two nodes of "Minor Damage"; and three nodes of "Significant Damage". The levels of accident consequences of the nodes with the same names are equal.…”

Section: Bayesian Nodesmentioning

confidence: 99%

“…Posterior Probability X 1 Failure of supporting structure 3.44E-03 X 2 Natural hazards 3.38E-03 X 3 Third-party interference 4.25E-02 X 4 Industrial activity 2.02E-02 X 5 High water content 9.80E-03 X 6 Inhibitor failure 4.80E-03 X 7 Poor construction quality 3.40E-03 X 8 Incorrect material selection 2.90E-04 X 9 Aging 6.62E-02 X 10 H 2 S content overproof 6.50E-04 X 11 SO 2 content overproof 9.10E-03 X 12 Others 1.06E-04 X 13 Incorrect pipe material selection 1.29E-03 X 14 Unreasonable supporting structure design 4.54E-03 X 15 Unreasonable valve connection design 6.50E-03 X 16 Weld flaw 8.47E-02 X 17 Mechanical damage 3.53E-02 X 18 Misoperation of supporting structure construction 5.53E-03 X 19 Incorrect maintenance 3.81E-02 X 20 Unreasonable operation 8.36E-03 The variance level of parent nodes Figure 8. The variance level of the root Bayesian nodes (ratio).…”

Section: Symbol Descriptionmentioning

confidence: 99%

“…However, few studies have analyzed gas pipeline accidents in utility tunnels. A few attempts have studied the impacts of crustal movement (e.g., earthquakes) on utility tunnel structures [16,17], analyzed fire smoke temperature distributions in a utility tunnel under different fire conditions [18,19], and identified preliminary critical threats of utility tunnel structures (but for utility tunnel accidents) [4,8,20]. At present, research work on comprehensive risk analyses of gas pipeline accidents in a utility tunnel (i.e., critical hazards identification, assessment of safety measures, and consequence analysis) is scarce.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative risk assessment of a natural gas pipeline in an underground utility tunnel

Fang

Bai

et al. 2019

Process Safety Progress

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With rapid urbanization in China, many underground utility tunnels have been established these years. This huge underground construction facilitates city life, but may introduce societal risks due to the installation of high-risk pipelines. Natural gas pipelines have the potential to cause catastrophic accident if a gas leakage and a subsequent explosion occurs. The potential hazards in the gas compartments of a utility tunnel are quite different from those in conventional directly buried gas pipelines. This study developed a dynamic quantitative risk analysis method for natural gas pipelines in a utility tunnel. First, potential accident scenarios of natural gas pipelines situated in a utility tunnel were identified and implemented in a Bow-tie diagram based on case studies of typical gas pipeline accidents and expert experience. Then, a Bayesian network was established from the Bow-tie diagram using a mapping algorithm. Based on a comprehensive analysis of the results of probability updating and sensitivity analysis, critical influencing factors were identified. The proposed framework provides a predictive analysis of the gas pipeline accident evolution process from causes to consequences and examines key challenges in gas pipeline risk management in utility tunnels.where P (NM) is the probability of "Near Miss", P (VS-good) represents the probability of good "Ventilation System", and P (VS-poor) indicates the Probability of poor "Ventilation System".

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Section: Bayesian Nodesmentioning

confidence: 99%

Section: Symbol Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantitative risk assessment of a natural gas pipeline in an underground utility tunnel

Fang

Bai

et al. 2019

Process Safety Progress

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“…For example V. M. Roitman in his study [1] proposed the temperature regime of the fire in tunnels. The work [2][3][4] studied the dynamics of the development of fires in cable structures and the behavior of building structures in case of high temperatures. both real and computational experiments were applied.…”

Section: The Analysis Of Literary Datamentioning

confidence: 99%

The Heat Exchange Mathematical Model of Fire in Cable Tunnel Adequacy Research

Nuianzin¹,

Samchenko²,

Kasiarum³

et al. 2018

IJET

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According to the results of the conducted studies, the adequacy of the mathematical models of cable tunnels for their further use in the study of the temperature regime of the fire was checked. For this purpose, full–scale tests and findings about the dynamics of temperature change in cable tunnels with known geometrical parameters and fire load were conducted at the experimental test site of the Ukrainian Civil Protection Research Institute (Kyiv).In one of the CFD software systems, a mathematical model of a cable tunnel similar to the actual one was created. A computational experiment was conducted. Based on the results of the computational experiment and field tests, the criteria for adequacy (Student's t–criterion, Cochran's Q–criterion, Fisher's F–criterion) and the relative error of the experiments were calculated. On the basis of the analysis, the adequacy of the used mathematical models was studied.In this article, further development of the use of computational experiments to study the heat and mass exchange processes during fires in cable tunnels.

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“…In the works [2][3][4], studies on the development and spread of dangerous fire factors in cable structures were carried out. The behavior of building structures in case of fire was also examined.…”

Section: Analysis Of Recent Achievements and Publicationsmentioning

confidence: 99%

Investigation of the regularities of temperature regime of fire in cable tunnels depending on its parameters

Nuianzin¹,

Kryshtal²,

Nesterenko³

et al. 2018

MATEC Web Conf.

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Simulation, as a method of scientific research, makes it possible, without performing costly and labor-intensive field experiments on models, to carry out all necessary experiments to determine the temperature modes of fire in cable tunnels. The purpose of the research of this work was to determine the temperature regime of fire in a cable tunnel depending on its shape, size and fire load. Mathematical models of cable tunnels were created in one of the CFD software systems. Cable products are constantly evolving and improving. For tests on the fire resistance of building structures of cable tunnels, a standard temperature mode of fire is used which may not correspond to fire mode in a real cable tunnel. The computational experiments were carried out and the temperature regimes of fires in tunnels with different parameters were determined. The obtained results showed the parameters of cable tunnels, which influence the temperature regime of fire in tunnels most. In this paper the use of computational experiments for the study of heat and mass transfer processes in fires in cable tunnels was examined further. CFD Fire Dynamics Simulator 6.2 was used.

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Experimental study on smoke temperature distribution under different power conditions in utility tunnel

Cited by 33 publications

References 12 publications

Quantitative risk assessment of a natural gas pipeline in an underground utility tunnel

Quantitative risk assessment of a natural gas pipeline in an underground utility tunnel

The Heat Exchange Mathematical Model of Fire in Cable Tunnel Adequacy Research

Investigation of the regularities of temperature regime of fire in cable tunnels depending on its parameters

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