2 citations · 4 across the 14 of their papers we have counts for
14 papers
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…
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.…
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…
DRLinSPH: An open-source platform using deep reinforcement learning and SPHinXsys for fluid-structure-interaction problems
Mai Ye, Hao Ma, Yaru Ren +3
Fluid-structure interaction (FSI) problems are characterized by strong nonlinearities arising from complex interactions between fluids and structures. These pose significant challe…
Physics-driven complex relaxation for multi-body systems of SPH method
Chenxi Zhao, Yongchuan Yu, Oskar J. Haidn +1
In the smoothed particle dynamics (SPH) method, the characteristics of a target particle are interpolated based on the information from its neighboring particles. Consequently, a u…
Liquid sloshing behaviours in an elastic tank and suppression effect of baffles
Chenxi Zhao, Yan Wu, Yongchuan Yu +2
In this paper, a fluid-structure interaction (FSI) framework based on the smoothed particle hydrodynamics (SPH) method is employed to investigate the forces and deformations experi…
An efficient truncation scheme for Eulerian and total Lagrangian SPH methods
Zhentong Wang, Chi Zhang, Oskar J. Haidn +1
In smoothed particle hydrodynamics (SPH) method, the particle-based approximations are implemented via kernel functions, and the evaluation of performance involves two key criteria…
Incorporating the algorithm for the boundary condition from FVM into the framework of Eulerian SPH
Zhentong Wang, Oskar J. Haidn, Xiangyu Hu
Finite volume method (FVM) is a widely used mesh-based technique, renowned for its computational efficiency and accuracy but it bears significant drawbacks, particularly in mesh ge…
An explicit multi-time stepping algorithm for multi-time scale coupling problems in SPH
Xiaojing Tang, Dong Wu, Zhengtong Wang +2
Simulating physical problems involving multi-time scale coupling is challenging due to the need of solving these multi-time scale processes simultaneously. In response to this chal…
Extended Eulerian SPH and its realization of FVM
Zhentong Wang, Chi Zhang, Oskar J. Haidn +2
Eulerian smoothed particle hydrodynamics (Eulerian SPH) is considered as a potential meshless alternative to a traditional Eulerian mesh-based method, i.e. finite volume method (FV…
A fourth-order kernel for improving numerical accuracy and stability in Eulerian and total Lagrangian SPH
Zhentong Wang, Bo Zhang, Oskar J. Haidn +1
The error of smoothed particle hydrodynamics (SPH) using kernel for particle-based approximation mainly comes from smoothing and integration errors. The choice of kernels has a sig…