Self-Directed Online Machine Learning for Topology Optimization. (arXiv:2002.01927v8 [cs.CE] UPDATED)

Web: http://arxiv.org/abs/2002.01927

Topology optimization by optimally distributing materials in a given domain
requires non-gradient optimizers to solve highly complicated problems. However,
with hundreds of design variables or more involved, solving such problems would
require millions of Finite Element Method (FEM) calculations whose
computational cost is huge and impractical. Here we report Self-directed Online
Learning Optimization (SOLO) which integrates Deep Neural Network (DNN) with
FEM calculations. A DNN learns and substitutes the objective as a function of
design variables. A small number of …

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