PSI - Issue 63

Ivan Kolos et al. / Procedia Structural Integrity 63 (2024) 13–20

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droplets landed in the calculated variant 3, when the wind flowed from the opposite side, from the front side and against the movement of the vehicle. In addition to variant 4, the trend that the number of droplets decreases with increasing distance of the sampling zones from the roadway axis was confirmed. It is clear that the wind direction strongly influences the behavior of the swirling particles behind the vehicle. The results of this analysis will be used for comparison with the ongoing experimental measurement in the road cut. The experience gained from this analysis can be used in further research to solve the microclimate around the road, e.g. under the bridge. Knowledge of this issue could be used in the design of transport objects to prevent increased deposition of aerosols or impurities blown by traffic on the structure. In the future, it is possible to simulate a model of two cars, different combination of cars, or to evaluate numerical simulations using other turbulent models. Acknowledgements This contribution has been developed as a part of the research project GACR 22-19812S ‘‘Effect of gaseous and traffic induced pollutants on the durability of selected construction materials” supported by the Czech Science Foundation. This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic through the e INFRA CZ (ID:90254). References Ardian, Jaka, 2018. “Truck DAF Free 3D Model - .Blend .Obj .Fbx - Free3D.” Retrieved June 19, 2024 (https://free3d.com/3d-model/truck-daf-99043.html). Hu, Xingjun, Lei Liao, Yulong Lei, Hanbo Yang, Qingyin Fan, Bo Yang, Jing Chang, and Jingyu Wang, 2015. “A Numerical Simulation of Wheel Spray for Simplified Vehicle Model Based on Discrete Phase Method.” Advances in Mechanical Engineering 7(7):1–8. doi: 10.1177/1687814015597190/FORMAT/EPUB. Joung, Young Soo, and Cullen R. Buie, 2015. “Aerosol Generation by Raindrop Impact on Soil.” Nature Communications 2015 6:1 6(1):1–9. doi: 10.1038/ncomms7083. Liu, Chaosheng, and Goodarz Ahmadi, 2005. “Computer Simulation of Pollutant Transport and Deposition Near Peace Bridge.” Particulate Science and Technology 23(2):109–27. doi: 10.1080/02726350590922288. Lottes, S. A., and C. Bojanowski, 2013. Computer Modeling and Analysis of Truck Generated Salt Spray Transport Near Bridges. Argonne National Laboratory . Argonne, IL (United States). doi: 10.2172/1087817. Obata, Makoto, Li Guotai, Yasunari Watanabe, and Yoshiaki Goto, 2014. “Numerical Simulation of Adhesion of Sea-Salt Particles on Bridge Girders.” Structure and Infrastructure Engineering 10(3):398–408. doi: 10.1080/15732479.2012.757328. Suto, Hitoshi, Yasuo Hattori, Hiromaru Hirakuchi, Naoto Kihara, and Yasumasa Nakashiki, 2017. “Computational Fluid Dynamics Simulation and Statistical Procedure for Estimating Wide-Area Distributions of Airborne Sea Salt Considering Local Ground Conditions.” Structure and Infrastructure Engineering 13(10):1359–71. doi: 10.1080/15732479.2016.1268173. Vacek, Miroslav, Vít K ř ivý, Kate ř ina Kreislová, Markéta Vlachová, and Monika Kubzová, 2022. “Experimental Measurement of Deposition Chloride Ions in the Vicinity of Road Cut.” Materials 2023, Vol. 16, Page 88 16(1):88. doi: 10.3390/MA16010088. Vargas Rivero, Jose, Thiemo Gerbich, Boris Buschardt, and Jia Chen, 2022. “The Effect of Spray Water on an Automotive LIDAR Sensor: A Real-Time Simulation Study.” IEEE Transactions on Intelligent Vehicles 7(1):57–72. doi: 10.1109/TIV.2021.3067892.