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Xiaokun Tian, Chao Yang, Yadong Wu, Zhouqiao He and Yan Hu
Animation visualization is one of the primary methods for analyzing unsteady flow fields. In this paper, we addressed the issue of data visualization for large-scale unsteady flow fields using animation. Loading and rendering individual time steps sequen...
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Peter Marvin Müller, Georgios Bletsos and Thomas Rung
The contribution is devoted to combined shape- and mesh-update strategies for parameter-free (CAD-free) shape optimization methods. Three different strategies to translate the shape sensitivities computed by adjoint shape optimization procedures into sim...
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Rytis Maskeliunas, Audrius Kulikajevas, Robertas Dama?evicius, Julius Gri?kevicius and Au?ra Adomaviciene
The research introduces a unique deep-learning-based technique for remote rehabilitative analysis of image-captured human movements and postures. We present a ploninomial Pareto-optimized deep-learning architecture for processing inverse kinematics for s...
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Kwang-Leol Jeong, Sunho Park and Se-Min Jeong
When performing simulations using computational fluid dynamics, the grid systems in the viscous boundary layer regions are important because the velocity and pressure change very rapidly in these regions. Especially for the turbulent flows, thin grids sh...
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Christos Mattas, Dimitris Karpouzos, Pantazis Georgiou and Theodoros Tsapanos
Dams are expensive technical constructions that ensure food production, sustain farmers? income, and cover a large percentage of urban water supply demands. However, the threat of a dam break flood, which can be extremely dangerous for the local society,...
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