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Journal articles on the topic 'Crosswinds'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

van Dinther, Daniëlle, Oscar K. Hartogensis, and Arnold F. Moene. "Crosswinds from a Single-Aperture Scintillometer Using Spectral Techniques." Journal of Atmospheric and Oceanic Technology 30, no. 1 (2013): 3–21. http://dx.doi.org/10.1175/jtech-d-12-00069.1.

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Abstract In this study, spectral techniques to obtain crosswinds from a single large-aperture scintillometer (SLAS) time series are investigated. The crosswind is defined as the wind component perpendicular to a path. A scintillometer obtains a path-averaged estimate of the crosswind. For certain applications this can be advantageous (e.g., monitoring crosswinds along airport runways). The essence of the spectral techniques lies in the fact that the scintillation power spectrum shifts linearly along the frequency domain as a function of the crosswind. Three different algorithms are used, which

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2

Pu, Yatian, Feng Chen, Peiyan Chen, and Xiaodong Pan. "Wind Data Collection and Analysis of Topographical Features along a Highway for Traffic Safety Assessment Based on Mobile Mapping Technology." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 42 (2018): 292–301. http://dx.doi.org/10.1177/0361198118788465.

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Strong crosswind is one of the main factors that may cause traffic collisions. Because the wind velocity is influenced by the roadside environment and surrounding terrain, its distribution varies in both the temporal and spatial domains. Therefore, locations with a high probability of strong crosswind should be identified and safety measures should be implemented at these sites. However, geographical data of continuous winds along a highway cannot easily be obtained using existing technology. This prompted the development of a method for geo-location positioning and terrain analysis with eleva

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3

Hu, Yahui, Yingshi Guo, Rui Fu, and Qingjin Xu. "Evaluation of Failure Probability in Series System of Three-Axle Trucks under Strong Crosswind." Shock and Vibration 2021 (August 13, 2021): 1–13. http://dx.doi.org/10.1155/2021/4540252.

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The probability of wind-induced failure accidents in three-axle trucks under pulsating strong crosswinds and the corresponding critical safe speed are investigated in this study. Reliability theory and random fuzzy methods are utilized to establish the membership function of the failure probability in the series system (FPSS) composed of rollover, side-slip, and rotation failure accidents. The Kaman spectrum is used to realistically simulate the fluctuating wind time history curves of different average speeds. Four factors affecting the six-component force coefficient of the three-axle truck a

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4

Yeung, Alex, Nagabhushana Rao Vadlamani, Tom Hynes, and Sumit Sarvankar. "Quasi 3D Nacelle Design to Simulate Crosswind Flows: Merits and Challenges." International Journal of Turbomachinery, Propulsion and Power 4, no. 3 (2019): 25. http://dx.doi.org/10.3390/ijtpp4030025.

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This paper studies the computational modelling of the flow separation over the engine nacelle lips under the off-design condition of significant crosswind. A numerical framework is set up to reproduce the general flow characteristics under crosswinds with increasing engine mass flow rate, which include: low-speed separation, attached flow and high speed shock-induced separation. A quasi-3D (Q3D) duct extraction method from the full 3D (F3D) simulations has been developed. Results obtained from the Q3D simulations are shown to largely reproduce the trends observed (isentropic Mach number variat

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5

Dunne, Michele. "Caught in History’s Crosswinds." Journal of Democracy 26, no. 4 (2015): 75–79. http://dx.doi.org/10.1353/jod.2015.0063.

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6

Su, Hong Yuan, Ming Li, Dong Ping Wang, and Feng Liu. "Numerical Study on Aerodynamic Performances of CRH3 under Crosswind." Applied Mechanics and Materials 215-216 (November 2012): 992–97. http://dx.doi.org/10.4028/www.scientific.net/amm.215-216.992.

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Based on 3D steady and incompressible Navier-Stokes equation and standard k-ε turbulent model, numerical calculation for the aerodynamic properties of EMU (Electric Multiple Units) CRH3 (China Railway High-Speed 3)running in crosswind were carried out by finite volume method. Aerodynamic performances of EMU CRH3 were analyzed and compared, when the EMU was running in different speed and under the crosswinds of different velocity. The research showed that with the change of speed of train and crosswind, the surface pressure and aerodynamic forces altered according to a certain rule. Compared wi

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7

Aizpun Navarro, Miguel, and Ignacio Sesma Gotor. "The effect of crosswinds on ride comfort in high speed trains running on curves." DYNA 82, no. 194 (2015): 46–51. http://dx.doi.org/10.15446/dyna.v82n194.44147.

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The effect of crosswinds on the risk of railway vehicles overturning has been a major issue ever since manufacturers began to produce lighter vehicles that run at high speeds. However, ride comfort can also be influenced by crosswinds, and this effect has not been thoroughly analyzed. This article describes the effect of crosswinds on ride comfort in high speed trains when running on curves and for several wind velocities under a Chinese hat wind scenario, which is the scenario recommended by the standard. Simulation results show that the combination of crosswinds and the added stiffness of th

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8

Yan, Jian, Tefang Chen, Shu Cheng, et al. "Influence of Posture Change on Train Running Safety under Crosswind." Applied Sciences 11, no. 13 (2021): 6067. http://dx.doi.org/10.3390/app11136067.

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High-speed trains serving in a crosswind region are bearing more significant safety risks. Based on the three-dimensional (3D) Unsteady Reynolds-Averaged Navier–Stokes (URANS) turbulence model, a Computational Fluid Dynamics (CFD) computational work was conducted in the present study to predict the transient aerodynamic load of the train. The transient aerodynamic load was then employed as the input of the dynamic system to perform a dynamic analysis of running safety. Noticeable changes in the aerodynamic coefficients were found when the train entered and left the crosswind region due to the

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9

Huang, Taiming, Shuya Li, Zhongmin Wan, and Zhengqi Gu. "Investigation of vehicle stability under crosswind conditions based on coupling methods." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 13 (2019): 3305–17. http://dx.doi.org/10.1177/0954407018822424.

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In this study, vehicle stability under crosswind conditions is investigated. A two-way coupling method is established based on computational fluid dynamics and vehicle multi-body dynamics. Large eddy simulation is employed in the computational fluid dynamics model to compute the transient aerodynamic load, and the accuracy of the large eddy simulation is validated with a wind tunnel experiment. The arbitrary Lagrange–Euler technique is used in the computational fluid dynamics simulation to realise vehicle motion, and a real-time data transmission method is employed to ensure effective exchange

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10

Skrúcaný, Tomáš, and Jozef Gnap. "The Effect of the Crosswinds on the Stability of the Moving Vehicles." Applied Mechanics and Materials 617 (August 2014): 296–301. http://dx.doi.org/10.4028/www.scientific.net/amm.617.296.

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The article describes the effect of the crosswinds on the moving heavy road vehicles. It gives mathematical descriptions of two extreme situations originated from the crosswinds – side deflection from the directness and the rollover of the vehicles. It also analyzes the factors affecting the rate of the wind, as a cornering tire stiffness, instantaneous vehicle weight, axle load, the position of the center of gravity of the vehicle. Both situations present a greater risk for empty vehicles with tarpaulin superstructure, so some types of them are dealt.

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11

Ye, Kun, and Ren Xian Li. "Aerodynamic Characteristics Analysis of High-Speed Train on Cutting under Crosswinds." Applied Mechanics and Materials 300-301 (February 2013): 62–67. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.62.

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Cutting is an effective device to reduce crosswind loads acting on trains. The cutting depth, width and gradient of slope are important factors for design and construction of cutting. Based on numerical analysis methods of three-dimensional viscous incompressible aerodynamics equations, aerodynamic side forces and yawing moments acting on the high-speed train, with different depths and widths of cutting，are calculated and analyzed under crosswinds，meanwhile the relationship of the gradient of cutting slope and transverse aerodynamic forces acting on trains are also studied. Simulation results

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12

Gropman, Alan L., and Earl H. Tilford. "Crosswinds: The Air Force's Setup in Vietnam." Journal of American History 81, no. 2 (1994): 815. http://dx.doi.org/10.2307/2081403.

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13

Schlight, John, and Earl H. Tilford. "Crosswinds: The Air Force's Setup in Vietnam." Journal of Military History 58, no. 3 (1994): 560. http://dx.doi.org/10.2307/2944171.

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14

Grm, Aleksander, and Milan Batista. "Vehicle Aerodynamic Stability Analysis under High Crosswinds." Strojniški vestnik - Journal of Mechanical Engineering 63, no. 3 (2017): 191–200. http://dx.doi.org/10.5545/sv-jme.2016.4095.

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15

Crane, Conrad C., and Earl H. Tilford. "Crosswinds: The Air Force's Setup in Vietnam." American Historical Review 99, no. 2 (1994): 689. http://dx.doi.org/10.2307/2167521.

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16

Burrowes, Carl Patrick. "Caught in the Crosswinds of the Atlantic." Journalism History 37, no. 3 (2011): 130–41. http://dx.doi.org/10.1080/00947679.2011.12062853.

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17

Lebedev, S. V., D. Ampleford, A. Ciardi, et al. "Jet Deflection via Crosswinds: Laboratory Astrophysical Studies." Astrophysical Journal 616, no. 2 (2004): 988–97. http://dx.doi.org/10.1086/423730.

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18

Wang, Bin, Yongle Li, Helu Yu, and Haili Liao. "Dynamic Reliability Evaluation of Road Vehicle Subjected to Turbulent Crosswinds Based on Monte Carlo Simulation." Shock and Vibration 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/2365812.

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As a vehicle moves on roads, a complex vibration system of the running vehicle is formed under the collective excitations of random crosswinds and road surface roughness, together with the artificial handing by the drivers. Several numerical models in deterministic way to assess the safety of running road vehicles under crosswinds were proposed. Actually, the natural wind is a random process in time domain due to turbulence, and the surface roughness of a road is also a random process but in spatial domain. The nature of a running vehicle therefore is an extension of dynamic reliability excite

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19

Gautam, Aishwarya, and Sheldon I. Green. "Computational fluid dynamics–discrete element method simulation of locomotive sanders." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 235, no. 1 (2020): 12–21. http://dx.doi.org/10.1177/0954409720902897.

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Locomotive sanders are used to optimize the traction between the train wheels and the railhead by spraying sand into the interface. It has been previously shown that a large fraction of sand sprayed by the sanders does not make it through the wheel–rail nip, leading to sand wastage and thereby increasing the cost and refilling effort. In this study, pneumatic conveying of sand through the wheel–rail nip is numerically modeled through coupled computational fluid dynamics and discrete element method simulations. The gas phase, discrete phase, and coupled two-phase flows are separately validated

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20

Liu, Lining, Yumei Sun, Xuefeng Chi, Guangsheng Du, and Meng Wang. "Transient aerodynamic characteristics of vans overtaking in crosswinds." Journal of Wind Engineering and Industrial Aerodynamics 170 (November 2017): 46–55. http://dx.doi.org/10.1016/j.jweia.2017.07.014.

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21

Proppe, C., and X. Zhang. "Risk Analysis of Railway Vehicles under Strong Crosswinds." International Journal of Railway Technology 2, no. 3 (2013): 93–111. http://dx.doi.org/10.4203/ijrt.2.3.5.

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22

TERASHIMA, Osamu, Fumiya KINOSHITA, Hideaki TOUYAMA, and Mika NAKATA. "Research on visibility of freeway windsocks indicating crosswinds." Proceedings of Conference of Hokuriku-Shinetsu Branch 2019.56 (2019): G044. http://dx.doi.org/10.1299/jsmehs.2019.56.g044.

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23

Noone, Kevin J., Hans-Christen Hansson, and Ronald K. A. M. Mallant. "Droplet sampling from crosswinds: An inlet efficiency calibration." Journal of Aerosol Science 23, no. 2 (1992): 153–64. http://dx.doi.org/10.1016/0021-8502(92)90051-v.

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24

Briggs, Gary A., Roger S. Thompson, and William H. Snyder. "Dense gas removal from a valley by crosswinds." Journal of Hazardous Materials 24, no. 1 (1990): 1–38. http://dx.doi.org/10.1016/0304-3894(90)80001-k.

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25

Kavoossi, Masoud. "Review of Crosswinds: The Way of Saudi Arabia." Journal of Asia-Pacific Business 22, no. 2 (2021): 157–58. http://dx.doi.org/10.1080/10599231.2021.1905500.

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26

Mellone, Ugo, Rubén Limiñana, Pascual López-López, and Vicente Urios. "Regional and age-dependent differences in the effect of wind on the migratory routes of Eleonora’s falcon." Current Zoology 61, no. 3 (2015): 428–34. http://dx.doi.org/10.1093/czoolo/61.3.428.

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Abstract During migration, birds can show different responses to wind in relation to distance to the goal, experience, ecological barriers and visibility of landmarks. We analysed the effect of wind (tailwinds and crosswinds) on daily movement rates (forward and perpendicular) of Eleonora’s falcons using ARGOS satellite telemetry, during their trans-continental autumn migration to Madagascar, in relation to the different crossed regions and individuals’ age class. Our results showed that the effect of wind on daily movement rates was not uniform, being stronger in the farthest region from the

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27

Silbey, Joel H., and James MacGregor Burns. "The American Experiment. Vol. III: The Crosswinds of Freedom." Journal of American History 77, no. 1 (1990): 346. http://dx.doi.org/10.2307/2078754.

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28

Edwards, Gus, and William B. Branch. "Crosswinds: An Anthology of Black Dramatists in the Diaspora." African American Review 31, no. 4 (1997): 740. http://dx.doi.org/10.2307/3042349.

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29

Kirkendall, Richard S., and James MacGregor Burns. "The American Experiment. Volume 3, The Crosswinds of Freedom." American Historical Review 96, no. 1 (1991): 284. http://dx.doi.org/10.2307/2164247.

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30

Smith, Gaddis, and James MacGregor Burns. "The American Experiment, Vol. III: The Crosswinds of Freedom." Foreign Affairs 68, no. 3 (1989): 170. http://dx.doi.org/10.2307/20044040.

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31

Johnson, M. R., and L. W. Kostiuk. "Efficiencies of low-momentum jet diffusion flames in crosswinds." Combustion and Flame 123, no. 1-2 (2000): 189–200. http://dx.doi.org/10.1016/s0010-2180(00)00151-6.

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32

Fintelman, D. M., M. Sterling, H. Hemida, and F. X. Li. "The Effect of Crosswinds on Cyclists: An Experimental Study." Procedia Engineering 72 (2014): 720–25. http://dx.doi.org/10.1016/j.proeng.2014.06.122.

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33

Han, Y., and Steve C. S. Cai. "Aerodynamic Forces of Vehicles on the Bridge under Crosswinds." Advanced Materials Research 639-640 (January 2013): 1206–9. http://dx.doi.org/10.4028/www.scientific.net/amr.639-640.1206.

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In the present study, an experimental setup was made to measure the aerodynamic characteristics of vehicles on the bridge for different cases in a wind tunnel considering the aerodynamic interference. The influence of the wind turbulence, the vehicle interference, and the distance of vehicle from the windward edge of the deck on the aerodynamic coefficients of vehicles were investigated based on the experimental results. The measured results showed that the wind turbulence, the vehicle interference, and the vehicle distance from the windward edge significantly affected the aerodynamic coeffici

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34

Waters, Harold A., and William B. Branch. "Crosswinds: An Anthology of Black Dramatists in the Diaspora." World Literature Today 68, no. 3 (1994): 644. http://dx.doi.org/10.2307/40150596.

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35

Slihta, Mareks, Irina Lazareva, and Vladimirs Sestakovs. "Evaluation of the Dynamic Characteristics of Aircraft during Landing in Crosswinds." Transport and Aerospace Engineering 2, no. 1 (2015): 27–35. http://dx.doi.org/10.1515/tae-2015-0004.

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Abstract This article summarizes the results of aircraft lateral drift parameter estimation. The lateral drift of an aircraft may occur in extreme and dangerous situations when the aircraft lands in crosswind conditions. Such a situation is developing with great dynamics in a small period of time. Within seconds, the aircraft can drastically change the flight path or position. The article highlights the results obtained in a calculation made during the flight phase of the aircraft landing in crosswind.

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36

Liu, Tang-hong, Xin-chao Su, Jie Zhang, Zheng-wei Chen, and Xi-sai Zhou. "Aerodynamic performance analysis of trains on slope topography under crosswinds." Journal of Central South University 23, no. 9 (2016): 2419–28. http://dx.doi.org/10.1007/s11771-016-3301-z.

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37

Castro, Ian P., Ajay Kumar, William H. Snyder, and S. Pal S. Arya. "Removal of slightly heavy gases from a valley by crosswinds." Journal of Hazardous Materials 34, no. 3 (1993): 271–93. http://dx.doi.org/10.1016/0304-3894(93)85095-v.

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38

TACHIBANA, Takashi, Hiromichi SHIRATO, Mitsuki OKAMOTO, et al. "CONSIDERATION OF OVERTURNING RISK FOR RUNNING VEHICLES DUE TO CROSSWINDS." Journal of Japan Society of Civil Engineers, Ser. A1 (Structural Engineering & Earthquake Engineering (SE/EE)) 72, no. 1 (2016): 220–33. http://dx.doi.org/10.2208/jscejseee.72.220.

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39

Baker, C. J., S. J. Dalley, T. Johnson, A. Quinn, and N. G. Wright. "The slipstream and wake of a high-speed train." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 215, no. 2 (2001): 83–99. http://dx.doi.org/10.1243/0954409011531422.

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This paper describes the results of experimental work to determine the structure of the slipstream and wake of a high speed train. The experiments were carried out using a 1/25th scale model of a four-coach train on a moving model rig (MMR). Flow velocities were measured using a rake of single hot films positioned close to the model side or roof. Tests were carried out at different model speeds, with and without the simulation of a crosswind. Velocity time histories for each configuration were obtained from ensemble averages of the results of a number of runs. A small number of particle imagin

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40

Klaassen, Raymond H. G., Mikael Hake, Roine Strandberg, and Thomas Alerstam. "Geographical and temporal flexibility in the response to crosswinds by migrating raptors." Proceedings of the Royal Society B: Biological Sciences 278, no. 1710 (2010): 1339–46. http://dx.doi.org/10.1098/rspb.2010.2106.

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Wind and ocean currents may potentially have important effects on travelling animals, as an animal which does not respond to lateral flow will be drifted from its intended direction of movement. By analysing daily movements of migrating ospreys Pandion haliaetus and marsh harriers Circus aeruginosus , as recorded by satellite telemetry, in relation to global wind data, we showed that these raptors allow on average 47 per cent drift. Furthermore, our analyses revealed significant geographical and temporal variation in the response to crosswinds. During some parts of the migration, the birds dri

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41

ZHANG, Liang. "Unsteady Aerodynamic Characteristics and Safety of High-speed Trains under Crosswinds." Journal of Mechanical Engineering 52, no. 6 (2016): 124. http://dx.doi.org/10.3901/jme.2016.06.124.

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42

YU, Mengge. "Running Safety of High-speed Trains on Bridges under Strong Crosswinds." Journal of Mechanical Engineering 48, no. 18 (2012): 104. http://dx.doi.org/10.3901/jme.2012.18.104.

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43

Fintelman, D. M., H. Hemida, M. Sterling, and F. X. Li. "CFD simulations of the flow around a cyclist subjected to crosswinds." Journal of Wind Engineering and Industrial Aerodynamics 144 (September 2015): 31–41. http://dx.doi.org/10.1016/j.jweia.2015.05.009.

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44

Zhang, Yixiang, Jianlu Zhu, Youmei Peng, Cunyong Song, and Yuxing Li. "Experimental investigation of LNG release underwater and combustion behavior under crosswinds." Process Safety and Environmental Protection 134 (February 2020): 239–46. http://dx.doi.org/10.1016/j.psep.2019.12.019.

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45

Ishak, Izuan Amin, Mohamed Sukri Mat Ali, Mohamad Fitri Mohd Yakub, and Sheikh Ahmad Zaki Shaikh Salim. "Effect of crosswinds on aerodynamic characteristics around a generic train model." International Journal of Rail Transportation 7, no. 1 (2018): 23–54. http://dx.doi.org/10.1080/23248378.2018.1424573.

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46

He, Xu-hui, and Huan Li. "Review of aerodynamics of high-speed train-bridge system in crosswinds." Journal of Central South University 27, no. 4 (2020): 1054–73. http://dx.doi.org/10.1007/s11771-020-4351-9.

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47

Al-Waked, Rafat. "Crosswinds effect on the performance of natural draft wet cooling towers." International Journal of Thermal Sciences 49, no. 1 (2010): 218–24. http://dx.doi.org/10.1016/j.ijthermalsci.2009.07.012.

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48

Guo, Huiqian, Yue Yang, Tongrui Cheng, Hanyu Zhou, Weijia Wang, and Xiaoze Du. "Tower Configuration Impacts on the Thermal and Flow Performance of Steel-Truss Natural Draft Dry Cooling System." Energies 14, no. 7 (2021): 2002. http://dx.doi.org/10.3390/en14072002.

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In recent years, the steel-truss natural draft dry cooling technique has received attention owing to its advantages in better aseismic capability, shorter construction period, and preferable recycling. For cooling towers generating the draft force of air flow, its configuration may impact the thermal and flow performance of the steel-truss natural draft dry cooling system. With regard to the issue, this work explored the thermal and flow characteristics for the steel-truss natural draft dry cooling systems with four typical engineering tower configurations. By numerical simulation, the pressur

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49

Baker, Chris. "A framework for the consideration of the effects of crosswinds on trains." Journal of Wind Engineering and Industrial Aerodynamics 123 (December 2013): 130–42. http://dx.doi.org/10.1016/j.jweia.2013.09.015.

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50

Xiang, Huoyue, Yongle Li, Bin Wang, and Haili Liao. "Numerical simulation of the protective effect of railway wind barriers under crosswinds." International Journal of Rail Transportation 3, no. 3 (2015): 151–63. http://dx.doi.org/10.1080/23248378.2015.1054906.

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