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A Surface-Enabled Computational Homogenization Method for Variable-Density Polymer Lattice Metastructures.

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Název: A Surface-Enabled Computational Homogenization Method for Variable-Density Polymer Lattice Metastructures.
Autoři: Zhang, Aofei, Li, Shuo, Ling, Ling, Li, Li
Zdroj: Polymers (20734360); Mar2025, Vol. 17 Issue 6, p769, 29p
Témata: DISCOVERY (Law), PREDICTION models, DATABASES, BEHAVIORAL assessment, COMPUTER simulation
Abstrakt: The current limitations in predicting mechanical properties arise from an incomplete understanding of surface-induced size effects in variable-density polymer lattice metastructures. Through large-scale, high-fidelity finite element simulations, we identify a novel variable-density surface law governing the surface intrinsic length at the macroscopic scale. Capitalizing on this surface law discovery, we propose a surface-enhanced computational homogenization framework. By incorporating the surface intrinsic length parameters with the variable-density surface law and an offline database constructed through high-throughput numerical simulations, we develop an efficient predictive model capable of online analysis for the mechanical behavior of variable-density polymeric lattice metastructures. This innovative approach preserves critical configuration-dependent surface effects while achieving both efficiency and precision in predicting the macro-scale mechanical performance of such metastructures. [ABSTRACT FROM AUTHOR]
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Abstrakt:The current limitations in predicting mechanical properties arise from an incomplete understanding of surface-induced size effects in variable-density polymer lattice metastructures. Through large-scale, high-fidelity finite element simulations, we identify a novel variable-density surface law governing the surface intrinsic length at the macroscopic scale. Capitalizing on this surface law discovery, we propose a surface-enhanced computational homogenization framework. By incorporating the surface intrinsic length parameters with the variable-density surface law and an offline database constructed through high-throughput numerical simulations, we develop an efficient predictive model capable of online analysis for the mechanical behavior of variable-density polymeric lattice metastructures. This innovative approach preserves critical configuration-dependent surface effects while achieving both efficiency and precision in predicting the macro-scale mechanical performance of such metastructures. [ABSTRACT FROM AUTHOR]
ISSN:20734360
DOI:10.3390/polym17060769