Home >

news Help

Publication Information


Title
Japanese: 
English:AMR-based Simulations for Fluid-Structure Interaction on GPU Supercomputers 
Author
Japanese: 青木 尊之.  
English: Takayuki Aoki.  
Language English 
Journal/Book name
Japanese: 
English: 
Volume, Number, Page        
Published date May 19, 2021 
Publisher
Japanese: 
English: 
Conference name
Japanese: 
English:Parallel CFD 2021 
Conference site
Japanese: 
English: 
Official URL https://parcfd2020.sciencesconf.org/resource/page/id/4
 
Abstract AMR (Adaptive Mesh Refinement) improves the computational efficiency drastically and makes it possible to set outflow boundaries far from ROI. It is also recognized as a key technique for multi-scale studies and suitable for problems of moving interfaces or boundaries. The major difficulties come from data structure, memory management and interpolation at the resolution difference and dynamic domain partitioning to maintain the computational load and used memory balance. An octree-based AMR framework has been developed for GPU supercomputers. We show several implementations of fluid-structure interaction: dolphin free swimming, violent flag fluttering, tsunami flow with a lot of drift woods, expanding soap bubble, in which AMR is needed essentially.

©2007 Tokyo Institute of Technology All rights reserved.