Filtered local member-combination features and a convolution-based transfer let a neural-net surrogate reduce structural analyses in simulated-annealing topology optimization of periodic lattice structures.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Topology optimization of periodic lattice structures for specified mechanical properties using machine learning considering member connectivity
Filtered local member-combination features and a convolution-based transfer let a neural-net surrogate reduce structural analyses in simulated-annealing topology optimization of periodic lattice structures.