Design and analysis adaptivity in multiresolution topology optimization

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 tha...

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Bibliographic Details
Published in:International journal for numerical methods in engineering 2020-02, Vol.121 (3), p.450-476
Main Authors: Gupta, Deepak K., Keulen, Fred, Langelaar, Matthijs
Format: Article
Language:English
Subjects:
Adaptive filters
adaptive refinement
analysis resolution
Coarsening
Computing time
Cost analysis
Decoupling
Design analysis
design resolution
Error analysis
Optimization
polynomial degree
Polynomials
Shape functions
Topology optimization
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Summary: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 dp‐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 dp‐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.
ISSN:0029-5981
1097-0207
DOI:10.1002/nme.6217