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Journal articles on the topic 'Air flow in a stairwell model'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

Zohrabian, A. S., M. R. Mokhtarzadeh-Dehghan, and A. J. Reynolds. "Buoyancy-driven air flow in a stairwell model with through-flow." Energy and Buildings 14, no. 2 (1990): 133–42. http://dx.doi.org/10.1016/0378-7788(90)90032-e.

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2

Shi, Wen Xi, Jie Ji, Jin Hua Sun, S. M. Lo, Lin Jie Li, and Xiang Yong Yuan. "EXPERIMENTAL STUDY ON INFLUENCE OF STACK EFFECT ON FIRE IN THE COMPARTMENT ADJACENT TO STAIRWELL OF HIGH RISE BUILDING." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 20, no. 1 (2014): 121–31. http://dx.doi.org/10.3846/13923730.2013.802729.

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In this paper, to study the influence of stack effect on fire in the compartment adjacent to a stairwell, a set of experiments were conducted by varying the pool size, top vent state and bottom vent size in a 1/3 scaled 12-layer-stairwell configuration. The phenomenon of methanol flame tilting in the fire room was observed and studied. Results showed that the flame tilt angle increases with an increase of Ri-1. The temperatures of hot gases in the fire room decrease due to the cooling effect of fresh air induced by stack effect. The mass loss rate of methanol fuel is influenced by fresh air fl

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3

Ergin-Ozkan, S., M. R. Mokhtarzadeh-Dehghan, and A. J. Reynolds. "The Effect of Different Air Inlet Sizes on the Air Flow through a Stairwell." Indoor Environment 2, no. 5-6 (1993): 350–59. http://dx.doi.org/10.1177/1420326x9300200515.

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4

Ergin-Ozkan, S., M. R. Mokhtarzadeh-Dehghan, and A. J. Reynolds. "The Effect of Different Air Inlet Sizes on the Air Flow through a Stairwell." Indoor and Built Environment 2, no. 5-6 (1993): 350–59. http://dx.doi.org/10.1159/000463282.

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5

Zhang, Jun, Jingwen Weng, Tiannian Zhou, et al. "Investigation on Smoke Flow in Stairwells induced by an Adjacent Compartment Fire in High Rise Buildings." Applied Sciences 9, no. 7 (2019): 1431. http://dx.doi.org/10.3390/app9071431.

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The aim of this study was to evaluate the transport phenomena of smoke flow and vertical temperature distribution in a 21-story stairwell with multiple fire locations and openings. A large eddy simulation (LES) method was used to model the smoke flow in a stairwell model with a set of simulation parameters, wherein the fire heat release rate (HRR) and fire location were varied. Based on the results, a wall attachment effect was found in three-dimensional figures. Moreover, with an increase in the fire HRR, the effects were more pronounced. The simulation results verified that the vertical temp

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6

Zohrabian, A. S., M. R. Mokhtarzadeh-Dehghan, A. J. Reynolds, and B. S. T. Marriott. "An experimental study of Buoyancy-driven flow in a half-scale stairwell model." Building and Environment 24, no. 2 (1989): 141–48. http://dx.doi.org/10.1016/0360-1323(89)90003-6.

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7

Kaschuba-Holtgrave, Andreas, Angela Rohr, Stefanie Rolfsmeier, and Oliver Solcher. "Individual unit and guard-zone airtightness tests of apartment buildings." Journal of Building Physics 43, no. 4 (2018): 301–37. http://dx.doi.org/10.1177/1744259118786977.

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The airtightness of eight apartment buildings containing six to 11 units each on three or four floors was tested with and without guard-zone pressure, that is, with and without consideration of internal leakages. The layouts of these buildings varied: two of them had no central stairwell; in two other buildings, only some of the apartments were connected to the central stairwell; and the third type had all apartments connected to a central stairwell. Airtightness tests were performed with and without guard-zone pressure conditions. During these tests, two to eight BlowerDoor systems were used

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8

Kim, Jung-Yup, and Ji-Seok Kim. "Study on Stack Effect of Stairwell by Numerical Model of Leakage Flow through Gap of Door." Open Journal of Fluid Dynamics 03, no. 04 (2013): 241–47. http://dx.doi.org/10.4236/ojfd.2013.34029.

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9

Luca, R. De, M. Gamerra, G. Sorrentino, and E. Cantone. "Nose and Sinus Air Flow Model." Natural Science 06, no. 10 (2014): 685–90. http://dx.doi.org/10.4236/ns.2014.610068.

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10

Suzuki, Seiichirou, Katsuyoshi Nagayasu, and Keiji Nakanishi. "Visualization of air flow in refrigerator model." JOURNAL OF THE FLOW VISUALIZATION SOCIETY OF JAPAN 7, no. 26 (1987): 157–60. http://dx.doi.org/10.3154/jvs1981.7.157.

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11

Sridhar, Banavar, Tarun Soni, Kapil Sheth, and Gano Chatterji. "Aggregate Flow Model for Air-Traffic Management." Journal of Guidance, Control, and Dynamics 29, no. 4 (2006): 992–97. http://dx.doi.org/10.2514/1.10989.

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12

Kamenetsky, E., and N. Vieru. "Model of air flow and air pollution concentration in urban canyons." Boundary-Layer Meteorology 73, no. 1-2 (1995): 203–6. http://dx.doi.org/10.1007/bf00708939.

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13

Tsibulskiy, Svyatoslav, Nikolay Galashov, Denis Mel'nikov, Alexandr Kiselev, and Al'bina Bannova. "Improvement air condensers evaluation model." MATEC Web of Conferences 194 (2018): 01017. http://dx.doi.org/10.1051/matecconf/201819401017.

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The results of analysis of the literature on the calculation of the heat transfer coefficient of an air condenser in the flow past a bundle of finned tubes by an air flow. The methods of calculation are disassembled, marked advantages and disadvantages of each. Calculations of the heat transfer coefficient for each method are given; the results compared with the experimental data.

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14

Ma, Z., D. Cui, and P. Cheng. "Dynamic Network Flow Model for Short-Term Air Traffic Flow Management." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 34, no. 3 (2004): 351–58. http://dx.doi.org/10.1109/tsmca.2003.822969.

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15

Cao, Yi, and Dengfeng Sun. "Link Transmission Model for Air Traffic Flow Management." Journal of Guidance, Control, and Dynamics 34, no. 5 (2011): 1342–51. http://dx.doi.org/10.2514/1.51495.

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16

Ćoćić, Aleksandar, Mladen Brajović, and Milan Lečić. "Numerical Simulation of Air Flow in Model Room." PAMM 16, no. 1 (2016): 801–2. http://dx.doi.org/10.1002/pamm.201610389.

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17

Tuomaala, P. "New building air flow simulation model: Theoretical basis." Building Services Engineering Research and Technology 14, no. 4 (1993): 151–57. http://dx.doi.org/10.1177/014362449301400405.

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18

Kudryavtsev, V. N., V. K. Makin, and J. F. Meirink. "Simplified Model Of The Air Flow Above Waves." Boundary-Layer Meteorology 100, no. 1 (2001): 63–90. http://dx.doi.org/10.1023/a:1018914113697.

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19

Mokhtarzadeh-Dehghan, M. R. "Numerical simulation and comparison with experiment of natural convection between two floors of a building model via a stairwell." International Journal of Heat and Mass Transfer 54, no. 1-3 (2011): 19–33. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2010.09.067.

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20

Wang, Jian, and Li Ming Hu. "Numerical Simulation of Air Flow during Air Sparging Remediation." Applied Mechanics and Materials 138-139 (November 2011): 27–32. http://dx.doi.org/10.4028/www.scientific.net/amm.138-139.27.

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A 2D numerical model is used to modeling the movement of air during air sparging process for groundwater remediation. The zone of influence (ZOI) and the water saturation distribution can be obtained from the calculations. The results agree well with the centrifuge test data, indicating the two-phase flow model is reasonable for numerical simulation of air sparging process. It was also shown that air compressibility has a significant influence on the extent of ZOI.

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21

Chen, Hua, Chih-Yung Wen, and Chih-Kai Yang. "Numerical Simulation of Air-He Shock Tube Flow with Equilibrium Air Model." AIAA Journal 50, no. 9 (2012): 1817–25. http://dx.doi.org/10.2514/1.j051129.

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22

Mei, C. C., Z. Cheng, and C. O. Ng. "A model for flow induced by steady air venting and air sparging." Applied Mathematical Modelling 26, no. 7 (2002): 727–50. http://dx.doi.org/10.1016/s0307-904x(01)00083-x.

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23

MASUKO, Sho, Hiroyuki IIZUKA, Kyoko HIRAIDE, and Hikaru KUNIYOSHI. "310 Research on Air Flow of Room Air Conditioner by Scale Model." Proceedings of Conference of Chugoku-Shikoku Branch 2006 (2006): 99–100. http://dx.doi.org/10.1299/jsmecs.2006.99.

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24

Li, Yang, Zhaojun Yang, Fei Chen, and Jin Zhao. "Effect of air inlet flow rate on flow uniformity under oil-air lubrication." Industrial Lubrication and Tribology 70, no. 2 (2018): 282–89. http://dx.doi.org/10.1108/ilt-12-2016-0296.

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Purpose This paper aims to investigate the effects of air inlet flow rate on the bearing cavity and operating conditions during the oil-air lubrication. Design/methodology/approach A model of oil-air lubrication of rolling bearings is established using computational fluid dynamics numerical simulation. Moreover, temperature and vibration experiments are carried out for comparisons and validation. Findings Results suggest that the velocity and pressure distributions of the oil-air flow inside the chamber are not uniform. Moreover, the uniform decreases with increasing air inlet flow rate. The n

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25

Acar, M., R. K. Turton, and G. R. Wray. "Air Flow in Yarn Texturing Nozzles." Journal of Engineering for Industry 109, no. 3 (1987): 197–202. http://dx.doi.org/10.1115/1.3187118.

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The air-jet texturing process, a purely mechanical means of texturing continuous filament yarns, is described. Industrial texturing nozzles are reviewed and categorized in two groups, either as converging-diverging or cylindrical type nozzles. A mathematical model is developed for the complex airflow in cylindrical type texturing nozzles, and experimental data obtained from various nozzles verify the flow predicted by this model. The mathematical model is also shown to be in good agreement with the data obtained from a modified experimental nozzle, which has a trumpet shaped diverging exit. Fu

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26

Gottschalk, K. "A model for air flow control in a mixed-flow grain dryer." IFAC Proceedings Volumes 43, no. 26 (2010): 101–4. http://dx.doi.org/10.3182/20101206-3-jp-3009.00017.

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27

Woloszyn, Monika, Gilles Rusaouën, Jean-Jacques Roux, and Thierry Dagusé. "Adapting block method to solve moist air flow model." Mathematics and Computers in Simulation 53, no. 4-6 (2000): 423–28. http://dx.doi.org/10.1016/s0378-4754(00)00236-6.

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28

Borchiellini, Romano, and Jean-Marie Fürbringer. "An evaluation exercise of a multizone air flow model." Energy and Buildings 30, no. 1 (1999): 35–51. http://dx.doi.org/10.1016/s0378-7788(98)00045-0.

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29

Mukherjee, Avijit, and Mark Hansen. "A dynamic rerouting model for air traffic flow management." Transportation Research Part B: Methodological 43, no. 1 (2009): 159–71. http://dx.doi.org/10.1016/j.trb.2008.05.011.

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30

Gao, Shengyan, Jay N. Meegoda, and Liming Hu. "A dynamic two-phase flow model for air sparging." International Journal for Numerical and Analytical Methods in Geomechanics 37, no. 12 (2012): 1801–21. http://dx.doi.org/10.1002/nag.2109.

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31

Mckeen and Liao. "The Influence of Building Airtightness on Airflow |in Stairwells." Buildings 9, no. 10 (2019): 208. http://dx.doi.org/10.3390/buildings9100208.

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Airflow into stairwells due to stack effect is a concern affecting fire safety, energy performance, and indoor air quality. Stack effect in tall buildings can create significant pressure differentials in vertical shafts when differences in outdoor and indoor temperature exist. The pressure differentials drive air through openings or gaps in walls and floors. Vertical shafts, consisting of stairs and elevators, may transport significant volumes of air. During heating season, this results in the infiltration of cold air at lower floors and the exhaust of warm air on the upper floors. Correspondi

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32

Adanur, Sabit, and Sayavur Bakhtiyarov. "Analysis of Air Flow in Single Nozzle Air-Jet Filling Insertion: Corrugated Channel Model." Textile Research Journal 66, no. 6 (1996): 401–6. http://dx.doi.org/10.1177/004051759606600608.

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33

Delfs, Jens-Olaf, Wenqing Wang, Thomas Kalbacher, Ashok Kumar Singh, and Olaf Kolditz. "A coupled surface/subsurface flow model accounting for air entrapment and air pressure counterflow." Environmental Earth Sciences 69, no. 2 (2013): 395–414. http://dx.doi.org/10.1007/s12665-013-2420-1.

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34

Saied, Husham Farouk Ismail, and Oleg Grigorovitsh Avrunin. "DYNAMIC MODEL OF THE AIR FLOW THROUGH THE NASAL CAVITY." International Journal of Life Science and Medical Research 3, no. 1 (2013): 25–29. http://dx.doi.org/10.5963/lsmr0301004.

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35

Bayen, Alexandre, Pascal Grieder, George Meyer, and Claire J. Tomlin. "Langrangian Delay Predictive Model for Sector-Based Air Traffic Flow." Journal of Guidance, Control, and Dynamics 28, no. 5 (2005): 1015–26. http://dx.doi.org/10.2514/1.15242.

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36

Agranovski, I. E., R. Braddock, and N. P. Kristensen. "Model for the flow of air through a wet fibre." Journal of Aerosol Science 31 (September 2000): 688–89. http://dx.doi.org/10.1016/s0021-8502(00)90697-9.

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37

Feustel, Helmut E. "COMIS—an international multizone air-flow and contaminant transport model." Energy and Buildings 30, no. 1 (1999): 3–18. http://dx.doi.org/10.1016/s0378-7788(98)00043-7.

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38

Jaszczur, Marek, Michał Karch, Marcin Zych, Robert Hanus, Leszek Petryka, and Dariusz Świsulski. "Air flow phenomena in the model of the blind drift." EPJ Web of Conferences 114 (2016): 02148. http://dx.doi.org/10.1051/epjconf/201611402148.

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39

Diao, Xudong, and Chun-Hsien Chen. "A sequence model for air traffic flow management rerouting problem." Transportation Research Part E: Logistics and Transportation Review 110 (February 2018): 15–30. http://dx.doi.org/10.1016/j.tre.2017.12.002.

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40

SAKAMOTO, Koji, Kazuyuki TSUCHIZAWA, and Takahisa KATSUOKA. "A Drying Model of Tobacco Midrib Expanding in Air Flow." Japan Journal of Food Engineering 11, no. 2 (2010): 91–96. http://dx.doi.org/10.11301/jsfe.11.91.

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41

Maksimov, A. V., E. A. Kiselev, S. D. Kurgalin, and S. A. Zuev. "Mathematical model describing air flow dynamics in a turbine spirometer." Proceedings of the Institute for System Programming of the RAS 31, no. 1 (2019): 105–14. http://dx.doi.org/10.15514/ispras-2018-31(1)-7.

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42

Maksimov, A. V., E. A. Kiselev, S. D. Kurgalin, and S. A. Zuev. "Mathematical model describing air flow dynamics in a turbine spirometer." Proceedings of the Institute for System Programming of the RAS 31, no. 1 (2019): 105–14. http://dx.doi.org/10.15514/ispras-2019-31(1)-7.

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43

Hai, Duong Ngoc, and Nguyen The Duc. "A three dimensional non-hydrostatic model for turbulent air flow." Vietnam Journal of Mechanics 22, no. 3 (2000): 167–80. http://dx.doi.org/10.15625/0866-7136/9973.

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A finite-volume code is developed to compute the turbulent airflow over small- scale complex terrain. A pressure-correction algorithm is used to solve the three-dimensional non-hydrostatic flow equations. The turbulent transport is simulated by the k- € model using some modifications suitable for atmospheric boundary-layer application. As an example, the model is used to simulate the flow-field around a cubical building. The same flow as a towing-tank experiment of USEPA was simulated using our code. These simulations show that, the model was capable of simulating recirculation zones behind th

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44

Shubov, M. A. "Asymptotic analysis of aircraft wing model in subsonic air flow." IMA Journal of Applied Mathematics 66, no. 4 (2001): 319–56. http://dx.doi.org/10.1093/imamat/66.4.319.

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45

Boukhris, Y., L. Gharbi, and N. Ghrab-Morcos. "Simulating Air Flow, with a Zonal Model, for Natural Convection." International Journal of Ventilation 7, no. 3 (2008): 207–19. http://dx.doi.org/10.1080/14733315.2008.11683813.

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46

G., Gun Gun Ramdlan, Ahmad Indra Siswantara, Budiarso Budiarso, Asyari Daryus, and Hariyotejo Pujowidodo. "Turbulence Model and Validation of Air Flow in Wind Tunnel." International Journal of Technology 7, no. 8 (2016): 1362. http://dx.doi.org/10.14716/ijtech.v7i8.6891.

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47

Feustel, Helmut E., and Max H. Sherman. "A simplified model for predicting air flow in multizone structures." Energy and Buildings 13, no. 3 (1989): 217–30. http://dx.doi.org/10.1016/0378-7788(89)90034-0.

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48

Andreatta, Giovanni, Paolo Dell’Olmo, and Guglielmo Lulli. "An aggregate stochastic programming model for air traffic flow management." European Journal of Operational Research 215, no. 3 (2011): 697–704. http://dx.doi.org/10.1016/j.ejor.2011.06.028.

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49

Tirabassi, T., M. Tagliazucca, and G. Galliani. "Easy to use air pollution model for turbulent shear flow." Environmental Software 2, no. 1 (1987): 37–44. http://dx.doi.org/10.1016/0266-9838(87)90027-x.

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50

García-Heredia, David, Antonio Alonso-Ayuso, and Elisenda Molina. "A Combinatorial model to optimize air traffic flow management problems." Computers & Operations Research 112 (December 2019): 104768. http://dx.doi.org/10.1016/j.cor.2019.104768.

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