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  • 标题:Parametrization of 2D Microstructures Inspired by Topology Optimization to Attain Theoretical Limits of Elastic Properties
  • 本地全文:下载
  • 作者:Juan M. Podestá ; Néstor O. Rossi Cabral ; Carlos G. Méndez
  • 期刊名称:Mecánica Computacional
  • 印刷版ISSN:2591-3522
  • 出版年度:2019
  • 卷号:37
  • 期号:39
  • 页码:1567-1567
  • 出版社:CIMEC-INTEC-CONICET-UNL
  • 摘要:It is known that materials with a lower length scale (such as laminates) attain Cherkaev-Gibiansky theoretical bounds of elastic properties. However, topology optimization, formulated as an inverse homogenization problem, has proven to be a successfull tool to obtain microstructures with almost extreme properties and to reveal underlying mechanisms existing in these materials (Sigmund, Jour. Mech. Phys. Sol, 48(2):397-428, 2000). In this work we use topology optimization as a source of inspiration to propose sophisticated mechanical metamaterials with two length scales and parametrize them to bring near the full theoretical limits. We particularly emphasize cases corresponding to the most interesting and challenging behaviours, such as negative Poisson ratio, Walpole point and maximal stiffness. Crystallographic symmetries, specifically hexagonal ones, are included in the designs to impose isotropy to the material.
  • 关键词:Metamaterial design; topology optimization; inverse homogenization; parametric microstructures;
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