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Advances in Engineering Software | 2018

Application of the EnKF method for real-time forecasting of smoke movement during tunnel fires

Jie Ji; Qi Tong; Liangzhu (Leon) Wang; Cheng-Chun Lin; Cong Zhang; Zihe Gao; Jun Fang

Abstract Real-time prediction of smoke layer temperature and height of tunnel fires are crucial in guiding emergency rescue. However, current fire simulation tools are often not able to provide reliable modeling results due to poorly known input parameters and model errors. Besides, fire modeling are subject to computer resources, for instance, fire modeling by computational fluid dynamics (CFD) tools is often time-consuming. Moreover, sensors located in tunnels can only detect certain physical quantities within a certain level of uncertainties. In order to gain more reliable predictions of temperature and smoke layer height of tunnel fires in real time, a proposed method, inverse modeling based on Ensemble Kalman Filter (EnKF), is presented in this study to improve the predictability and address problems of demanding computer resources of tunnel fire simulation by doing data assimilation. The basic formulas of EnKF method are introduced and the application of EnKF to tunnel fires is implemented by connecting the fire simulation tool, CFAST, with a data assimilation software, OpenDA. In current study, observation data are generated under the framework of Observation System Simulation Experiment (OSSE), i.e., synthetic observations are generated by CFAST simulation assuming true value of control parameters are known. Studies are conducted to show the feasibility of real-time predicting smoke movement during tunnel fires. Results show that prediction performance are improved after applying the EnKF method compared to the standalone tunnel fires modeling.


International Journal of Heat and Mass Transfer | 2013

Experimental study of air entrainment mode with natural ventilation using shafts in road tunnel fires

C.G. Fan; Jie Ji; Zihe Gao; J.Y. Han; J.H. Sun


International Journal of Heat and Mass Transfer | 2012

A study of the effect of plug-holing and boundary layer separation on natural ventilation with vertical shaft in urban road tunnel fires

Jie Ji; Zihe Gao; C.G. Fan; W. Zhong; J.H. Sun


Proceedings of the Combustion Institute | 2015

An investigation of the detailed flame shape and flame length under the ceiling of a channel

Zihe Gao; Jie Ji; Huaxian Wan; Kaiyuan Li; Jinhua Sun


International Journal of Heat and Mass Transfer | 2013

Large Eddy Simulation of stack effect on natural smoke exhausting effect in urban road tunnel fires

Jie Ji; Zihe Gao; C.G. Fan; J.H. Sun


Tunnelling and Underground Space Technology | 2013

Experimental study on transverse smoke temperature distribution in road tunnel fires

C.G. Fan; Jie Ji; Zihe Gao; J.H. Sun


International Journal of Heat and Mass Transfer | 2013

Influence of cross-sectional area and aspect ratio of shaft on natural ventilation in urban road tunnel

Jie Ji; J.Y. Han; C.G. Fan; Zihe Gao; J.H. Sun


Energy and Buildings | 2014

Influence of sidewall restriction on the maximum ceiling gas temperature of buoyancy-driven thermal flow

Zihe Gao; Jie Ji; C.G. Fan; J.H. Sun; Jiping Zhu


Applied Thermal Engineering | 2016

Experimental study on longitudinal and transverse temperature distribution of sidewall confined ceiling jet plume

Zihe Gao; Z.X. Liu; Huaxian Wan; Jiping Zhu


Applied Thermal Engineering | 2016

Experimental study of tunnel sidewall effect on flame characteristics and air entrainment factor of methanol pool fires

Zihe Gao; Z.X. Liu; Jie Ji; C.G. Fan; L.J. Li; J.H. Sun

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Jie Ji

University of Science and Technology of China

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C.G. Fan

University of Science and Technology of China

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J.H. Sun

University of Science and Technology of China

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Huaxian Wan

University of Science and Technology of China

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Jinhua Sun

University of Science and Technology of China

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Jiping Zhu

University of Science and Technology of China

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Yongming Zhang

University of Science and Technology of China

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L.J. Li

University of Science and Technology of China

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Lizhong Yang

University of Science and Technology of China

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