Multi-Material Topology Optimization Using Neural Networks

• Published in: Computer aided design Vol. 136; p. 103017
• Main Authors: Chandrasekhar, Aaditya, Suresh, Krishnan
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Ltd 01.07.2021; Elsevier BV
• Subjects: Back propagation; Back propagation networks; Density; Feature extraction; Finite element method; Multi-material; Network topologies; Neural networks; Optimization; Post-processing; SIMP; Thin features; Topology optimization; Topology optimization; Thin features; Neural networks; Multi-material; SIMP

The focus of this paper is on multi-material topology optimization (MMTO), where the objective is to not only compute the optimal topology, but also the distribution of two or more materials within the topology. In the popular density-based MMTO, the underlying pseudo-density fields are typically re...