Premium
Design and analysis adaptivity in multiresolution topology optimization
Author(s) -
Gupta Deepak K.,
Keulen Fred,
Langelaar Matthijs
Publication year - 2019
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.6217
Subject(s) - decoupling (probability) , topology optimization , computer science , resolution (logic) , mathematical optimization , algorithm , topology (electrical circuits) , degree of a polynomial , polynomial , mathematics , finite element method , engineering , control engineering , artificial intelligence , structural engineering , combinatorics , mathematical analysis
Summary Multiresolution topology optimization (MTO) methods involve decoupling of the design and analysis discretizations, such that a high‐resolution design can be obtained at relatively low analysis costs. Recent studies have shown that the MTO method can be approximately 3 and 30 times faster than the traditional topology optimization method for two‐dimensional (2D) and three‐dimensional (3D) problems, respectively. To further exploit the potential of decoupling analysis and design, we propose a d p ‐adaptive MTO method, which involves locally increasing/decreasing the polynomial degree of the shape functions ( p ) and the design resolution ( d ). The adaptive refinement/coarsening is performed using a composite refinement indicator that includes criteria based on analysis error, presence of intermediate densities, as well as the occurrence of design artifacts referred to as QR‐patterns. While standard MTO must rely on filtering to suppress QR‐patterns, the proposed adaptive method ensures efficiently that these artifacts are suppressed in the final design, without sacrificing the design resolution. The applicability of the d p ‐adaptive MTO method is demonstrated on several 2D mechanical design problems. For all the cases, significant speedups in computational time are obtained. In particular for design problems involving low material volume fractions, speedups of up to a factor of 10 can be obtained over the conventional MTO method.