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A nonlocal mechanics-informed neural network homogenization for variable-density lattice structures
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DOI：10.1016/j.tws.2026.114957.png)
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Abstract
En 中文
• Variable-density lattice structures exhibit spatially varying nonlocal interactions, leading to size-dependent behavior that varies with spatial microstructure. • A variable-density dual-nonlocal homogenization method is developed. • A nonlocal mechanics-informed neural network is developed for variable-density structures. • Proposed method is accurate and efficient for the axial tensile behavior of variable-density structures.
Keywords:
variable-density lattice structures
nonlocal mechanics
homogenization method
neural network
size-dependent behavior
Journal
T
IF:
6.6
Papers:
1.1W
Citations:
4.0W