Bio‐Inspired Morphological Evolution of Metastructures with New Operation Modalities
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 metas...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-05-01
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| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202300019 |
| _version_ | 1797823343695495168 |
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| author | Qianyun Zhang Kaveh Barri Hao Yu Zhe Wan Wenyun Lu Jianzhe Luo Amir H. Alavi |
| author_facet | Qianyun Zhang Kaveh Barri Hao Yu Zhe Wan Wenyun Lu Jianzhe Luo Amir H. Alavi |
| author_sort | Qianyun Zhang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-13T10:22:41Z |
| format | Article |
| id | doaj.art-463faab214dc4fe7b6538a69ed5d03f7 |
| institution | Directory Open Access Journal |
| issn | 2640-4567 |
| language | English |
| last_indexed | 2024-03-13T10:22:41Z |
| publishDate | 2023-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Intelligent Systems |
| spelling | doaj.art-463faab214dc4fe7b6538a69ed5d03f72023-05-20T03:54:51ZengWileyAdvanced Intelligent Systems2640-45672023-05-0155n/an/a10.1002/aisy.202300019Bio‐Inspired Morphological Evolution of Metastructures with New Operation ModalitiesQianyun Zhang0Kaveh Barri1Hao Yu2Zhe Wan3Wenyun Lu4Jianzhe Luo5Amir H. Alavi6Department of Civil Engineering New Mexico State University Las Cruces NM 88003 USADepartment of Civil and Systems Engineering Johns Hopkins University Baltimore MD 21218 USADepartment of Civil and Environmental Engineering University of Pittsburgh Pittsburgh PA 15261 USADepartment of Civil and Environmental Engineering Rutgers University Piscataway NJ 08854 USADepartment of Civil and Environmental Engineering University of Pittsburgh Pittsburgh PA 15261 USADepartment of Civil and Environmental Engineering University of Pittsburgh Pittsburgh PA 15261 USADepartment of Civil and Environmental Engineering University of Pittsburgh Pittsburgh PA 15261 USAHarnessing 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.https://doi.org/10.1002/aisy.202300019biologically inspired designevolutionary computationmaterial discoverymetamaterialmorphological evolution |
| spellingShingle | Qianyun Zhang Kaveh Barri Hao Yu Zhe Wan Wenyun Lu Jianzhe Luo Amir H. Alavi Bio‐Inspired Morphological Evolution of Metastructures with New Operation Modalities Advanced Intelligent Systems biologically inspired design evolutionary computation material discovery metamaterial morphological evolution |
| title | Bio‐Inspired Morphological Evolution of Metastructures with New Operation Modalities |
| title_full | Bio‐Inspired Morphological Evolution of Metastructures with New Operation Modalities |
| title_fullStr | Bio‐Inspired Morphological Evolution of Metastructures with New Operation Modalities |
| title_full_unstemmed | Bio‐Inspired Morphological Evolution of Metastructures with New Operation Modalities |
| title_short | Bio‐Inspired Morphological Evolution of Metastructures with New Operation Modalities |
| title_sort | bio inspired morphological evolution of metastructures with new operation modalities |
| topic | biologically inspired design evolutionary computation material discovery metamaterial morphological evolution |
| url | https://doi.org/10.1002/aisy.202300019 |
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