7 papers
A GPU-Accelerated Fully Coupled Fluid-Solid-Thermal SPH Solver for Industrial Gearboxes: Application to Lubricant Flow and Heat Transfer in a Bevel-Helical Reducer
Yongchuan Yu, Dong Wu, Oskar J. Haidn +1
This study presents a GPU-accelerated, fully coupled fluid-solid-thermal Smoothed Particle Hydrodynamics (SPH) framework for high-fidelity analysis of splash-lubricated gearboxes.…
Toward Efficient FSI Modeling in Patient-Specific Arteries: SPH Simulation of Blood Flow in Thin Deformable Vessels
Chenxi Zhao, Dong Wu, Weiyi Kong +2
Accurate simulation of blood flow in deformable vessels is critical in cardiovascular research for understanding disease progression and informing clinical decision-making. However…
Sloshing suppression with a controlled elastic baffle via deep reinforcement learning and SPH simulation
Mai Ye, Yaru Ren, Silong Zhang +3
This study employed smoothed particle hydrodynamics (SPH) as the numerical environment, integrated with deep reinforcement learning (DRL) real-time control algorithms to optimize t…
The efficient implementation of transport velocity formulation
Zhentong Wang, Oskar J. Haidn, Xiangyu Hu
The standard smoothed particle hydrodynamics (SPH) method suffers from tensile instability, resulting in particle clumping and void regions under negative pressure conditions. In t…
Simulating anisotropic diffusion processes with smoothed particle hydrodynamics
Xiaojing Tang, Oskar Haidn, Xiangyu Hu
Diffusion problems with anisotropic features arise in the various areas of science and engineering fields. As a Lagrangian mesh-less method, SPH has a special advantage in addressi…
Adaptive optimization of wave energy conversion in oscillatory wave surge converters via SPH simulation and deep reinforcement learning
Mai Ye, Chi Zhang, Yaru Ren +3
The nonlinear damping characteristics of the oscillating wave surge converter (OWSC) significantly impact the performance of the power take-off system. This study presents a framew…