Home > Research > Publications & Outputs > A model for predicting smoke back-layering leng...

Electronic data

Links

Text available via DOI:

View graph of relations

A model for predicting smoke back-layering length in tunnel fires with the combination of longitudinal ventilation and point extraction ventilation in the roof

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

A model for predicting smoke back-layering length in tunnel fires with the combination of longitudinal ventilation and point extraction ventilation in the roof. / Wang, Junheng; Yuan, Jianping; Fang, Zheng et al.
In: Tunnelling and Underground Space Technology, Vol. 80, 01.10.2018, p. 16-25.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Wang J, Yuan J, Fang Z, Tang Z, Qian P, Ye J. A model for predicting smoke back-layering length in tunnel fires with the combination of longitudinal ventilation and point extraction ventilation in the roof. Tunnelling and Underground Space Technology. 2018 Oct 1;80:16-25. Epub 2018 Jun 14. doi: 10.1016/j.tust.2018.05.022

Author

Wang, Junheng ; Yuan, Jianping ; Fang, Zheng et al. / A model for predicting smoke back-layering length in tunnel fires with the combination of longitudinal ventilation and point extraction ventilation in the roof. In: Tunnelling and Underground Space Technology. 2018 ; Vol. 80. pp. 16-25.

Bibtex

@article{cbe7cebc58c94614be03ac340c095ea2,
title = "A model for predicting smoke back-layering length in tunnel fires with the combination of longitudinal ventilation and point extraction ventilation in the roof",
abstract = "An analytical model is developed for quantifying the fire smoke back-layering length in a tunnel with a combination of longitudinal ventilation and point extraction ventilation in the roof. The distance of smoke vent to fire source is incorporated as well as mass flow rate during the whole smoke flow process according to the mass conservation principle. The model input quantities are the heat release rate of the fire source, the longitudinal velocity, the exhaust velocity, the width and the height of the tunnel, the distance of the smoke vent to the fire source and the area of the smoke vent. The quality of the model predictions is illustrated for a range of experimental conditions. After that, extensive model predictions on the back-layering length are presented to show its trends by varying the velocity of the longitudinal ventilation, the exhaust velocity and the position of the smoke vent in the roof. Discussions are given at last. It is highlighted that shortening the distance between the smoke vent and the fire source benefits shortening the back-layering length, and this phenomenon is more pronounced for higher exhaust velocity.",
keywords = "Back-layering length, Longitudinal ventilation, Point extraction, Tunnel fire",
author = "Junheng Wang and Jianping Yuan and Zheng Fang and Zhi Tang and Peng Qian and Jianqiao Ye",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Tunnelling and Underground Space Technology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Tunnelling and Underground Space Technology, 80, 2018 DOI: 10.1016/j.tust.2018.05.022",
year = "2018",
month = oct,
day = "1",
doi = "10.1016/j.tust.2018.05.022",
language = "English",
volume = "80",
pages = "16--25",
journal = "Tunnelling and Underground Space Technology",
issn = "0886-7798",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - A model for predicting smoke back-layering length in tunnel fires with the combination of longitudinal ventilation and point extraction ventilation in the roof

AU - Wang, Junheng

AU - Yuan, Jianping

AU - Fang, Zheng

AU - Tang, Zhi

AU - Qian, Peng

AU - Ye, Jianqiao

N1 - This is the author’s version of a work that was accepted for publication in Tunnelling and Underground Space Technology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Tunnelling and Underground Space Technology, 80, 2018 DOI: 10.1016/j.tust.2018.05.022

PY - 2018/10/1

Y1 - 2018/10/1

N2 - An analytical model is developed for quantifying the fire smoke back-layering length in a tunnel with a combination of longitudinal ventilation and point extraction ventilation in the roof. The distance of smoke vent to fire source is incorporated as well as mass flow rate during the whole smoke flow process according to the mass conservation principle. The model input quantities are the heat release rate of the fire source, the longitudinal velocity, the exhaust velocity, the width and the height of the tunnel, the distance of the smoke vent to the fire source and the area of the smoke vent. The quality of the model predictions is illustrated for a range of experimental conditions. After that, extensive model predictions on the back-layering length are presented to show its trends by varying the velocity of the longitudinal ventilation, the exhaust velocity and the position of the smoke vent in the roof. Discussions are given at last. It is highlighted that shortening the distance between the smoke vent and the fire source benefits shortening the back-layering length, and this phenomenon is more pronounced for higher exhaust velocity.

AB - An analytical model is developed for quantifying the fire smoke back-layering length in a tunnel with a combination of longitudinal ventilation and point extraction ventilation in the roof. The distance of smoke vent to fire source is incorporated as well as mass flow rate during the whole smoke flow process according to the mass conservation principle. The model input quantities are the heat release rate of the fire source, the longitudinal velocity, the exhaust velocity, the width and the height of the tunnel, the distance of the smoke vent to the fire source and the area of the smoke vent. The quality of the model predictions is illustrated for a range of experimental conditions. After that, extensive model predictions on the back-layering length are presented to show its trends by varying the velocity of the longitudinal ventilation, the exhaust velocity and the position of the smoke vent in the roof. Discussions are given at last. It is highlighted that shortening the distance between the smoke vent and the fire source benefits shortening the back-layering length, and this phenomenon is more pronounced for higher exhaust velocity.

KW - Back-layering length

KW - Longitudinal ventilation

KW - Point extraction

KW - Tunnel fire

U2 - 10.1016/j.tust.2018.05.022

DO - 10.1016/j.tust.2018.05.022

M3 - Journal article

AN - SCOPUS:85048179801

VL - 80

SP - 16

EP - 25

JO - Tunnelling and Underground Space Technology

JF - Tunnelling and Underground Space Technology

SN - 0886-7798

ER -