FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced Composites using Neural Network. (arXiv:2205.03737v1 [cs.CE] CROSS LISTED)

In this paper, we present a topology optimization (TO) framework to
simultaneously optimize the matrix topology and fiber distribution of
functionally graded continuous fiber-reinforced composites (FRC). Current
approaches in density-based TO for FRC use the underlying finite element mesh
both for analysis and design representation. This poses several limitations
while enforcing sub-element fiber spacing and generating high-resolution
continuous fibers. In contrast, we propose a mesh-independent representation
based on a neural network (NN) both to capture the matrix topology and fiber …

arxiv continuous network neural network optimization topology