Details

Autor(en) / Beteiligte

• Zhang, Qianyun
• Barri, Kaveh
• Yu, Hao
• Wan, Zhe
• Lu, Wenyun
• Luo, Jianzhe
• Alavi, Amir H.

Titel

Bio‐Inspired Morphological Evolution of Metastructures with New Operation Modalities

Ist Teil von

• Advanced intelligent systems, 2023-05, Vol.5 (5), p.n/a

Ort / Verlag

Weinheim: John Wiley & Sons, Inc

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Wiley Online Library Journals

Beschreibungen/Notizen

• Harnessing the power of natural evolution for automated exploration of novel forms of metastructures is likely to be the next technological revolution of the material science. Herein, the principles of evolution into the metamaterial design and discovery process to directly evolve thousands of metastructures with hitherto‐unknown structures and new modalities of operation are embedded. In this so‐called evolving metamaterial (EM) concept, evolution takes place by randomly creating an initial population of parent metamaterial entities that pass on their genetic material to their offspring through variation, reproduction, and selection. The metamaterial configurations with desired response emerge during this evolutionary process. The EM concept presents a different approach for direct morphological evolution of metamaterial microstructures using merely a piece of matter. For the biologically inspired evolution of mechanical metamaterials, this piece is chosen to be a representative unit cell to launch the design process. This paradigm shift by creating an evolutionary computational framework for the exploration of a series of proof‐of‐concept 2D mechanical metamaterial structures with maximum bulk modulus, maximum shear modulus, and minimum Poisson's ratio is studied. The capability of the proposed approach for discovering 3D is examined by exploring a suite of 3D configurations with maximum bulk modulus. Herein, the principles of natural evolution for design and discovery of thousands of metastructures with hitherto unknown structures, new modalities of operation, or potential solutions that humans would find inconceivable are studied. An evolutionary computational framework is created to explore a series of 2D and 3D mechanical metamaterial structures with maximum bulk modulus, maximum shear modulus, and minimum Poisson's ratio.