A well connected, locally-oriented and efficient multi-scale topology optimization (EMTO) strategy
Structural and Multidisciplinary Optimization, ISSN: 1615-1488, Vol: 64, Issue: 6, Page: 3705-3728
2021
- 15Citations
- 20Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
Multi-scale topology optimization (a.k.a. micro-structural topology optimization, MTO) consists in optimizing macro-scale and micro-scale topology simultaneously. MTO could improve structural performance of products significantly. However, a few issues related to connectivity between micro-structures and high computational cost have to be addressed, without resulting in loss of performance. In this paper, a new efficient multi-scale topology optimization (EMTO) framework has been developed for this purpose. Connectivity is addressed through adaptive transmission zones which limit loss of performance. A pre-computed database of micro-structures is used to speed up the computing. Design variables have also been chosen carefully and include the orientation of the micro-structures to enhance performance. EMTO has been successfully tested on two-dimensional compliance optimization problems. The results show significant improvements compared to mono-scale methods (compliance value lower by up to 20% on a simplistic case or 4% on a more realistic case), and also demonstrate the versatility of EMTO.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85112819721&origin=inward; http://dx.doi.org/10.1007/s00158-021-03048-1; https://link.springer.com/10.1007/s00158-021-03048-1; https://link.springer.com/content/pdf/10.1007/s00158-021-03048-1.pdf; https://link.springer.com/article/10.1007/s00158-021-03048-1/fulltext.html; https://dx.doi.org/10.1007/s00158-021-03048-1; https://link.springer.com/article/10.1007/s00158-021-03048-1
Springer Science and Business Media LLC
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