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

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.

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Publication Details

Journal
Polymers
Published
2025-03-14
DOI
https://doi.org/10.3390/polym17060769
Citations
1
Primary Topic
Composite Material Mechanics
Type
article
Field-Weighted Citation Impact
0.86

Funders

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article

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

Ling Ling, Shuo Li, Li Li, Aofei Zhang
1 citations
Polymers
Composite Material Mechanics
0.86
article

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

Ling Ling, Shuo Li, Li Li, Aofei Zhang
article en
1 citations

Abstract

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.

PolymersVol. 17(6)
Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Peace, Justice and strong institutions
Openalex Percentile: Top 33%
Composite Material Mechanics
0.86
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