31 citations · 44 across the 16 of their papers we have counts for
7 papers · 1 filter
Towards heterogeneous parallelism for SPHinXsys
Xiangyu Hu, Alberto Guarnieri
Simulations based on particle methods, such as Smoothed Particle Hydrodynamics (SPH), are known to be computationally demanding. While such methods have for long been executed in p…
Corrected Riemann smoothed particle hydrodynamics method for multi-resolution fluid-structure interaction
Bo Zhang, Jianfeng Zhu, Xiangyu Hu
As a mesh-free method, smoothed particle hydrodynamics (SPH) has been widely used for modeling and simulating fluid-structure interaction (FSI) problems. While the kernel gradient…
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…
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…
Target-driven splitting SPH optimization of thermal conductivity distribution
Bo Zhang, Chi Zhang, Xiangyu Hu
Efficiently enhancing heat conduction through optimized distribution of a limited quantity of high thermal conductivity material is paramount in cooling electronic devices and nume…
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…