Literature DB >> 17049158

Modeling fire-induced smoke spread and carbon monoxide transportation in a long channel: Fire Dynamics Simulator comparisons with measured data.

L H Hu1, N K Fong, L Z Yang, W K Chow, Y Z Li, R Huo.   

Abstract

Smoke and toxic gases, such as carbon monoxide, are the most fatal factors in fires. This paper models fire-induced smoke spread and carbon monoxide transportation in an 88m long channel by Fire Dynamics Simulator (FDS) with large eddy simulation (LES). FDS is now a well-founded fire dynamics computational fluid dynamic (CFD) program, which was developed by National Institute of Standards and Technology (NIST). Two full scale experiments with fire sizes of 0.75 and 1.6MW were conducted in this channel to validate the program. The spread of the fire-induced smoke flow together with the smoke temperature distribution along the channel, and the carbon monoxide concentration at an assigned position were measured. The FDS simulation results were compared with experimental data with fairly good agreement demonstrated. The validation work is then extended to numerically study the carbon monoxide concentration distribution, both vertically and longitudinally, in this long channel. Results showed that carbon monoxide concentration increase linearly with the height above the floor and decreases exponentially with the distance away from the fire source.

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Year:  2006        PMID: 17049158     DOI: 10.1016/j.jhazmat.2006.08.075

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  5 in total

1.  Simulation of wind-driven dispersion of fire pollutants in a street canyon using FDS.

Authors:  Dusica J Pesic; Milan Dj Blagojevic; Nenad V Zivkovic
Journal:  Environ Sci Pollut Res Int       Date:  2013-07-31       Impact factor: 4.223

2.  Modeling carbon monoxide spread in underground mine fires.

Authors:  Liming Yuan; Lihong Zhou; Alex C Smith
Journal:  Appl Therm Eng       Date:  2016-05-05       Impact factor: 5.295

3.  Experimental and numerical analysis of the cooling performance of water spraying systems during a fire.

Authors:  YaoHan Chen; ChungHwei Su; JoMing Tseng; WunJie Li
Journal:  PLoS One       Date:  2015-02-27       Impact factor: 3.240

4.  Development and Measurements of a Mid-Infrared Multi-Gas Sensor System for CO, CO₂ and CH₄ Detection.

Authors:  Ming Dong; Chuantao Zheng; Shuzhuo Miao; Yu Zhang; Qiaoling Du; Yiding Wang; Frank K Tittel
Journal:  Sensors (Basel)       Date:  2017-09-27       Impact factor: 3.576

5.  Dependable Fire Detection System with Multifunctional Artificial Intelligence Framework.

Authors:  Jun Hong Park; Seunggi Lee; Seongjin Yun; Hanjin Kim; Won-Tae Kim
Journal:  Sensors (Basel)       Date:  2019-04-30       Impact factor: 3.576

  5 in total

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