Applying the FDS pyrolysis model to predict heat release rate in small-scale forced ventilation tunnel experiments

2020 ◽  
Vol 112 ◽  
pp. 102946 ◽  
Author(s):  
Xiaoyun Wang ◽  
Charles Fleischmann ◽  
Michael Spearpoint
Author(s):  
Alexander J. De Rosa ◽  
Janith Samarasinghe ◽  
Stephen J. Peluso ◽  
Bryan D. Quay ◽  
Domenic A. Santavicca

Fluctuations in the heat release rate that occur during unstable combustion in lean premixed gas turbine combustors can be attributed to velocity and equivalence ratio fluctuations. For a fully premixed flame, velocity fluctuations affect the heat release rate primarily by inducing changes in the flame area. In this paper, a technique to analyze changes in flame area using chemiluminescence-based flame images is presented. The technique decomposes the flame area into separate components which characterize the relative contributions of area fluctuations in the large scale structure and the small scale wrinkling of the flame. The fluctuation in the wrinkled area of the flame which forms the flame brush is seen to dominate its response in the majority of cases tested. Analysis of the flame area associated with the large scale structure of the flame resolves convective perturbations that move along the mean flame position. Results are presented that demonstrate the application of this technique to both single-nozzle and multi-nozzle flames.


2018 ◽  
Vol 251 ◽  
pp. 02020
Author(s):  
Hui Yang ◽  
Bingyan Dong ◽  
Sijian Zhang ◽  
Dahui Sun ◽  
Kirill Lushin

The maximum fire smoke temperature beneath tunnel ceilings using longitudinal ventilation was studied by both small-scale experiments and numerical simulations for a small heat release rate (HRR) fire. And then, the accuracy of the numerical simulation is verified. A numerical simulation is subsequently employed to modify the Kurioka model for cases in large HRR. Then, the modified Kurioka model is verified by various on-site high HRR fire experimental results conducted by other authors.


2013 ◽  
Vol 831 ◽  
pp. 455-459
Author(s):  
Shu Hui Xu ◽  
Ling Fei Cui ◽  
Lei Ning ◽  
Zi Ye Wang

Critical velocity is a very important parameter in smoke control of tunnel fires and the variation of critical velocity against fire heat release rate is also one of the most important issues in tunnel fire researches. In this paper, a simplified physical model of a tunnel was established and the predictions of critical velocity for fire sizes in the 5-100MW range were carried out by FDS simulations. The FDS-predicted dimensionless critical velocities were compared with the values calculated by Wu and Bakar’s model. The result indicated that when the heat release rate was relatively small, Q≤30MW, the critical velocity increased with the increasing of heat release rate and varied as the one-third power of the heat release rate; when Q≥40MW, the growth rate of critical velocity became very small; after Q reach to 60MW, the critical velocity was almost unchanged with the increasing of heat release rate. In addition, the values of critical velocity calculated by Wu and Bakar’model which was derived from small-scale gas fire tests were underestimated. Therefore, the model suggested by Wu and Bakar is not suitable for critical velocity prediction in tunnel fires.


2020 ◽  
Vol 34 (4) ◽  
pp. 22-28
Author(s):  
Dong-Gun Nam ◽  
Ter-Ki Hong ◽  
Myung-Ho Ryu ◽  
Seul-Hyun Park

The heat release rate (HRR) of fire for solid combustibles, consisting of multi-materials, was measured using the ISO 9705 room corner test, and a computational analysis was conducted to simulate the fire using an HRR prediction model that was provided by a fire dynamics simulator (FDS). As the solid combustible consisted of multi-materials, a cinema chair composed primarily of PU foam, PP, and steel was employed. The method for predicting the HRR provided by the FDS can be categorized into a simple model and a pyrolysis model. Because each model was applied and computational analysis was conducted under the same conditions, the HRR and fire growth rate predicted by the pyrolysis model had good agreement with the results obtained using the ISO 9705 room corner test.


2018 ◽  
Vol 849 ◽  
pp. 615-644 ◽  
Author(s):  
Nitin B. George ◽  
Vishnu R. Unni ◽  
Manikandan Raghunathan ◽  
R. I. Sujith

Gas turbine engines are prone to the phenomenon of thermoacoustic instability, which is highly detrimental to their components. Recently, in turbulent combustors, it was observed that the transition to thermoacoustic instability occurs through an intermediate state, known as intermittency, where the system exhibits epochs of ordered behaviour, randomly appearing amidst disordered dynamics. We investigate the onset of intermittency and the ensuing self-organization in the reactive flow field, which, under certain conditions, could result in the transition to thermoacoustic instability. We characterize this transition from a state of disordered and incoherent dynamics to a state of ordered and coherent dynamics as pattern formation in the turbulent combustor, utilizing high-speed flame images representing the distribution of the local heat release rate fluctuations, flow field measurements (two-dimensional particle image velocimetry), unsteady pressure and global heat release rate signals. Separately, through planar Mie scattering images using oil droplets, the collective behaviour of small scale vortices interacting and resulting in the emergence of large scale coherent structures is illustrated. We show the emergence of spatial patterns using statistical tools used to study transitions in other pattern forming systems. In this paper, we propose that the intertwined and highly intricate interactions between the wide spatio-temporal scales in the flame, the flow and the acoustics are through pattern formation.


Author(s):  
Alexander J. De Rosa ◽  
Janith Samarasinghe ◽  
Stephen J. Peluso ◽  
Bryan D. Quay ◽  
Domenic A. Santavicca

Fluctuations in the heat release rate that occur during unstable combustion in lean-premixed gas turbine combustors can be attributed to velocity and equivalence ratio fluctuations. For a fully premixed flame, velocity fluctuations affect the heat release rate primarily by inducing changes in the flame area. In this paper, a technique to analyze changes in the flame area using chemiluminescence-based flame images is presented. The technique decomposes the flame area into separate components which characterize the relative contributions of area fluctuations in the large-scale structure and the small-scale wrinkling of the flame. The fluctuation in the wrinkled area of the flame which forms the flame brush is seen to dominate its response in the majority of cases tested. Analysis of the flame area associated with the large-scale structure of the flame resolves convective perturbations that move along the mean flame position. Results are presented that demonstrate the application of this technique to both single-nozzle and multi-nozzle flames.


Author(s):  
Stefan Kraft ◽  
Brian Lattimer

There is interest in providing a heat release rate based flammability requirements for interior finish materials on railcars. As a result, a research study was performed to develop a simple empirical model that can predict the real scale fire performance of an interior finish material from ASTM E1354 cone calorimeter data. A simple to use model has been developed to predict whether a material will contribute significantly to the growth of a fire inside of a railcar. The model consists of a flammability parameter, defined as the difference between the average heat release rate and the ratio of the ignition time and the burn duration. As indicated by the model, the relative flammability of materials is based on the balance between the heat release rate and the ease of ignition relative to burning duration. This work is focused on the use of the model in predicting material fire growth performance in full scale NFPA 286 room/corner tests, which has not previously been performed. The empirical flammability model was developed to use parameters which were obtained from cone calorimeter tests at 50 kW/m2 and provides a single value for a material. Generally, materials that have a flammability parameter of greater than 0.7 were determined to cause flashover in the NFPA 286 test, while those less than 0.6 did not cause flashover. The materials in the region between these values are borderline, with some causing flashover and some not. An initial assessment of a database of passenger railcar materials using the flammability parameter model revealed that about 50% of materials that meet NFPA 130 flammability requirements using ASTM E162 have the potential to cause flashover in the NFPA 286 room-corner test.


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