scholarly journals Large-scale stochastic topology optimization using adaptive mesh refinement and coarsening through a two-level parallelization scheme

2019 ◽  
Vol 343 ◽  
pp. 186-206 ◽  
Author(s):  
Joan Baiges ◽  
Jesús Martínez-Frutos ◽  
David Herrero-Pérez ◽  
Fermin Otero ◽  
Alex Ferrer
Author(s):  
Jianhu Nie ◽  
David A. Hopkins ◽  
Yitung Chen ◽  
Hsuan-Tsung Hsieh

A 2D/3D object-oriented program with h-type adaptive mesh refinement method is developed for finite element analysis of the multi-physics applications including heat transfer. A framework with some basic classes that enable the code to be built accordingly to the type of problem to be solved is proposed. The program consists of different modules and classes, which ease code development for large-scale complex systems, code extension and program maintenance. The developed program can be used as a “test-bed” program for testing new analysis techniques and algorithms with high extensibility and flexibility. The overall mesh refinement causes the CPU time cost to greatly increase as the mesh is refined. However, the CPU time cost does not increase very much with the increase of the level of h-adaptive mesh refinement. The CPU time cost can be saved by up to 90%, especially for the simulated system with a large number of elements and nodes.


2010 ◽  
Vol 26 (1) ◽  
pp. 86-100 ◽  
Author(s):  
Lorenzo Botti ◽  
Marina Piccinelli ◽  
Bogdan Ene-Iordache ◽  
Andrea Remuzzi ◽  
Luca Antiga

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