Computer Methods in Applied Mechanics and Engineering
Computer Methods in Applied Mechanics and Engineering
Three-dimensional bridging scale analysis of dynamic fracture
Journal of Computational Physics
Rheology of red blood cell aggregation by computer simulation
Journal of Computational Physics
A multi-entropy-level lattice Boltzmann model for the one-dimensional compressible Euler equations
International Journal of Computational Fluid Dynamics
Computational complexity and parallelization of the meshless local Petrov-Galerkin method
Computers and Structures
Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
Super linear speedup in a local parallel meshless solution of thermo-fluid problems
Computers and Structures
Solving numerical difficulties for element-free Galerkin analyses
Computational Mechanics
Hi-index | 31.46 |
A parallel computational implementation of a meshfree method--the reproducing kernel particle method (RKPM)--is used for 3-D implicit CFD analysis. A novel procedure for implementing the essential boundary condition using the hierarchical enrichment method is presented. Using this enrichment along the essential boundaries produces results that more closely match experimental and analytical results for a flow past a cylinder problem than does either the finite-element method or other meshfree methods that require matrix inversion for the application of essential boundary conditions. This technique also allows the efficient parallelization of the algorithm and leads to higher parallel speedups than do other boundary condition implementations, many of which involve inherently serial steps; this is important, because the expense of meshfree computations makes parallelization crucial for large-size problems. The performance of the parallelization technique and the accuracy of the implicit CFD algorithm are demonstrated in two example problems.