2023
DOI: 10.1002/adem.202300251
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Tensile Properties of 3D‐Projected 4‐Polytopes: A New Class of Mechanical Metamaterial

Gabrielis Cerniauskas,
Parvez Alam

Abstract: In this article, we research the tensile behavior mechanical metamaterial based on the 3D projections of 4D geometries (4‐polytopes). The specific properties of these mechanical metamaterials can be enhanced by more than fourfold when optimized within a framework powered by an evolutionary algorithm. We show that the best‐performing metamaterial structure, the 8‐cell (tesseract), has specific yield strength and specific stiffness values in a similar range to those of hexagonal honeycombs tested out‐of‐plane. T… Show more

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Cited by 2 publications
(3 citation statements)
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“…The literature suggests that although evolutionary algorithms take significant time to converge and are not the most efficient approach, they are robust methods and perform consistently well in all optimization problems [83]. GA algorithms can very efficiently elucidate minute geometrical alterations in mechanical metamaterials to maximize mechanical performance [10], [182] and recently Cerniauskas and Alam [183] revealed > 4000% improvements in specific shear properties were achievable from their base structures through GA regulated parametric optimization, Figure 12.…”
Section: Inverse Designmentioning
confidence: 99%
See 1 more Smart Citation
“…The literature suggests that although evolutionary algorithms take significant time to converge and are not the most efficient approach, they are robust methods and perform consistently well in all optimization problems [83]. GA algorithms can very efficiently elucidate minute geometrical alterations in mechanical metamaterials to maximize mechanical performance [10], [182] and recently Cerniauskas and Alam [183] revealed > 4000% improvements in specific shear properties were achievable from their base structures through GA regulated parametric optimization, Figure 12.…”
Section: Inverse Designmentioning
confidence: 99%
“…Application field: Mechanical 221 Kim, Yang, Hwang, et al [428] 2017 GA optimization framework 222 Abdeljaber, Avci, Kiranyaz, et al [429] 2017 GA optimization framework 223 Palermo, Vitali, and Marzani [190] 2018 Augmented Lagrangian optimization framework Genetic Algorithm (ALGA) 224 Callanan, Ogunbodede, Dhameliya, et al [430] 2018 GA Inverse design 225 Bakır, Dalgaç, Ünal, et al [431] 2019 GA optimization framework 226 Wang, Sun, Li, et al [432] 2019 GA optimization framework 227 Meng, Chronopoulos, Fabro, et al [433] 2020 GA optimization framework 228 Chen, Moughames, Ji, et al [434] 2020 GA optimization framework 229 Qiu, Wang, Xie, et al [435] 2020 GA optimization framework 230 Ghachi, Alnahhal, Abdeljaber, et al [436] 2020 GA optimization framework 231 Królikowski, Blazejewski, and Knitter [437] 2020 GA optimization framework 232 Yang, Yang, and Lo [438] 2020 GA optimization framework 233 Bacigalupo, Gnecco, Lepidi, et al [439] 2021 Adaptive optimization Surrogate model algorithm 234 Wang, Callanan, Ogunbodede, et al [440] 2021 GA Inverse design 235 Hashemi, McCrary, Kraus, et al [87] 2021 GA optimization framework 236 Li, Luo, Zhang, et al [441] 2021 GA Topology optimization 237 Wang and Liu [84] 2021 multi island GA optimization framework 238 Chen, Yan, Feng, et al [442] 2021 PSO optimization framework 239 Wang, Zeng, Wang, et al [443] 2022 GA Inverse Design 240 Dos Reis and Karathanasopoulos [444] 2022 GA Inverse Design 241 Dong, Hu, Holmes, et al [445] 2022 GA Optimization Framework 242 Dong and Wang [248] 2022 GA Optimization Framework 243 Panahi, Hosseinkhani, Frangi, et al [446] 2022 GA Optimization Framework 244 Liu and Acar [447] 2023 GA Optimization Framework 245 Zeng, Duan, Zhao, et al [448] 2023 GA inverse Design 246 Cerniauskas and Alam [10] 2023 GA Optimization Framework 247 Cerniauskas and Alam [182] 2023 GA Optimization Framework 248 Cerniauskas and Alam…”
Section: Continuation Of Tablementioning
confidence: 99%
“…Building on our previous work, , the work presented here further investigates 3D-projected “shadows” of 4 th -dimensional polytopes (4-polytopes), which in our previous work have been shown to possess excellent specific mechanical properties as the projected shadows comprise quasi-fractal structural hierarchies. ,, 4-polytope-projected 3D mechanical metamaterials comprise self-repeating geometries, taking advantage of numerous symmetry planes within the projected 4-polytope unit cell. Consequently, these structures hold significant promise in applications where there is a demand for both high stiffness and lightweightness.…”
Section: Introductionmentioning
confidence: 99%