Comparison of FDS predictions by different combustion models with measured data for enclosure fires

Yang, Dong; Hu, Lu; Jiang, Yong; Huo, R.; Zhu, Shi-Liang; Zhao, Xuejuan

doi:10.1016/j.firesaf.2010.06.002

Cited by 40 publications

(30 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Figure 2(a), shows that there were same temperature difference in 10 mm and 30 mm mesh size from experiment as compared with 20 mm mesh. The same findings were reported by Jahn et al (2011), Yang et al (2010 and Harrison (2009). They found that a coarser mesh sometimes gives same results as a fine mesh.…”

Section: Mesh Sensitivity Analysis and Validationsupporting

confidence: 90%

“…The default value in FDS numerical model is calibrated based on the validation of the numerical solution against full scale measurement to predict smoke movement in a very large enclosure . Yang et al (2010) investigated the influence of LES Smagorinsky turbulence model parameters on temperature predictions. They varied the constant values from 0.1 to 0.25 and it gave deviation of 10% from experimental measurements and this indicates that changing the constant value may change the results slightly.…”

Section: Mesh Sensitivity Analysis and Validationmentioning

confidence: 99%

See 1 more Smart Citation

Numerical investigation of smoke contamination in atrium upper balconies at different down stand depths

et al. 2016

View full text Add to dashboard Cite

Smoke contamination in upper balconies of shopping mall atriums presents a significant hazard to occupants by affecting evacuation and risking lives. Past research investigated the effects of varying balcony breadth, fire compartment opening width and fire size on smoke contamination. However, effects of varying the down stand depth at the fire compartment opening on smoke contamination have not been investigated. The down stand structure is widely used in shopping malls shops to display the trade names. This research investigates the effect of down stand depth on smoke contamination occurrence and severity in atrium upper balconies by varying the down stand depth together with the previously investigated parameters by utilizing Fire Dynamic Simulator (FDS), a computational fluid dynamics (CFD) software. Results demonstrated that the extent of smoke contamination increased with increased down stand depth. CFD simulation results showed that as down stand depth increased, from no down stand to 0.1 m in 1/10 scaled model, smoke severity increased by up to 40%. An empirical correlation was also developed to predetermine the smoke contamination height by relating the above mentioned variables in a single correlation.

show abstract

Section: Mesh Sensitivity Analysis and Validationsupporting

confidence: 90%

Section: Mesh Sensitivity Analysis and Validationmentioning

confidence: 99%

Numerical investigation of smoke contamination in atrium upper balconies at different down stand depths

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Some of these parameters are known to carry a significant amount of uncertainty and to be important for fire modelling [9,10,22,27]. However, they have not been considered here for the sake of simplicity but their effects should be investigated in future studies.…”

Section: Discussionmentioning

confidence: 99%

A posteriori modelling of the growth phase of Dalmarnock Fire Test One

Jahn

Rein

Torero

2011

Building and Environment

View full text Add to dashboard Cite

“…Increasing computational power has certainly broadened the scope of predictions in compartment fires. Based on computational fluid dynamics (CFD) techniques, the ability of fire models to simulate the many chemical and physical features in compartment fires has been demonstrated [1][2][3][4][5][6][7][8][9]. These models have gained immense popularity in the fire protection engineering community and have been widely used for compartment fire safety designs (e.g., sprinkler activation system, smokes detection system, smoke extraction, etc.)…”

Section: Introductionmentioning

confidence: 99%

“…[5,8,10,11]. There has also been increased research interest on the consideration of suitable chemical mechanisms leading to the prediction of combustion products (carbon dioxide and water vapor) and soot particles [1,6,7,12]. In compartment fires, the hot smoke layer below the compartment ceiling generally comprises combustion products that act to augment the global radiation and is considered to be the dominant factor for radiative heat transfer [1,13,14].…”

Section: Introductionmentioning

confidence: 99%

LES and Multi-Step Chemical Reaction in Compartment Fires

Yuen

Yeoh

Timchenko

et al. 2015

Numerical Heat Transfer, Part A: Applications

View full text Add to dashboard Cite

Numerical studies on two large-scale compartment buoyant fires were performed utilizing a fully coupled Large Eddy Simulation (LES) and strained laminar flamelet combustion model, extended from single-step to multistep chemical reaction. Two Subgrid-Scaled (SGS) turbulent models, Smagorinsky and WALE, were examined for center and corner fires. Compared with the experimental and existing numerical data, the WALE model with a multistep chemical reaction gave the best prediction for the upper hot layer and doorway gas temperatures. Specie concentrations including oxygen, carbon dioxide, and carbon monoxide were also found to compare well against the experimental measurements when the WALE model with a multistep chemical reaction was adopted.

show abstract

Comparison of FDS predictions by different combustion models with measured data for enclosure fires

Cited by 40 publications

References 42 publications

Numerical investigation of smoke contamination in atrium upper balconies at different down stand depths

Numerical investigation of smoke contamination in atrium upper balconies at different down stand depths

A posteriori modelling of the growth phase of Dalmarnock Fire Test One

LES and Multi-Step Chemical Reaction in Compartment Fires

Contact Info

Product

Resources

About