Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi

A Data-Driven Model for Aerodynamic Loads on Road Vehicles Exposed to Gusty Bora-Like Winds (CROSBI ID 312560)

Prilog u časopisu | kratko priopćenje | međunarodna recenzija

Kozmar, Hrvoje ; Jokić, Marko ; Butler, Kyle ; Stegić, Milenko ; Kareem, Ahsan A Data-Driven Model for Aerodynamic Loads on Road Vehicles Exposed to Gusty Bora-Like Winds // Applied sciences (Basel), 12 (2022), 15; 1-9. doi: 10.3390/app12157625

Podaci o odgovornosti

Kozmar, Hrvoje ; Jokić, Marko ; Butler, Kyle ; Stegić, Milenko ; Kareem, Ahsan

engleski

A Data-Driven Model for Aerodynamic Loads on Road Vehicles Exposed to Gusty Bora-Like Winds

Strong cross-wind gusts can cause the vehicle to overturn or slide off the road. This problem is particularly experienced on bridges, as vehicles are extremely sensitive to complex wind-bridge– vehicle interactions. While quasi-steady atmospheric winds create serious difficulties for vehicles, this fact is exacerbated by gusts of wind, as is the case with bora, where gusts of wind can reach velocities five times the average wind velocity. In the present study, experiments concerning aerodynamic loads experienced by vehicles exposed to gusty, bora-like winds are carried out. It is noted that the wind gusting and vortex shedding determine unsteady wind loads on vehicles. The experimental results are used as a basis for developing a simple data-driven modeling approach capable of predicting the time history of aerodynamic loads on vehicles exposed to cross- wind gusts. The modeling results indicate that a model using more than two-state variables is needed to capture the unsteady aerodynamic loads.

vehicles ; bridges ; periodic aerodynamic loads ; wind-tunnel experiments ; data-driven model

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o izdanju

12 (15)

2022.

1-9

objavljeno

2076-3417

10.3390/app12157625

Povezanost rada

Interdisciplinarne tehničke znanosti, Strojarstvo

Poveznice
Indeksiranost