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Szabolcs Fischer, Dalma Németh and Henriett Horváth
In this paper, the authors examined the change in track gauges in curves for several railway lines with low and high traffic in Hungary (i.e., secondary lines and main lines). They covered the processing of raw data as well as statistical calculations. T...
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Li Zhuo, Yun-Feng Hu, Ming-Li Xiao, Yu Luo, Huai-Zhong Liu, Hong-Qiang Xie and Jian-Liang Pei
The discrimination of river blockages is very important for the risk assessment of landslide disasters and secondary hazards. Experimental studies and statistical analyses were carried out to explore the formation process and discriminant criteria of riv...
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Yuhang Ma, Jiecheng Du, Tihao Yang, Yayun Shi, Libo Wang and Wei Wang
Robust optimization design (ROD) is playing an increasingly significant role in aerodynamic shape optimization and aircraft design. However, an efficient ROD framework that couples uncertainty quantification (UQ) and a powerful optimization algorithm for...
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Michal Rogowski, Maciej Fabrykiewicz, Pawel Szymanski and Rafal Andrzejczyk
Various types of heat pipes are available to purchase off the shelf, from various manufacturers, but most of them have strictly defined geometry and technical parameters. However, when there is a need to use a heat pipe (HP) with an unusual size and shap...
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Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen and Fei Ma
Machine Learning (ML) and/or Deep Learning (DL) methods can be used to predict fluid flow in porous media, as a suitable replacement for classical numerical approaches. Such data-driven approaches attempt to learn mappings between finite-dimensional Eucl...
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