Inductive Machine Learning Of Optimal Modular Structures
Structural optimization is usually handled by iterative methods requiring repeated samples of a physics-based model, but this process can be computationally demanding. Given a set of previously optimized structures of the same topology, this paper uses inductive learning to replace this optimization process entirely by deriving a function that directly maps any given load to an optimal geometry. A support vector machine is trained to determine the optimal geometry of individual modules of a space frame structure given a specified load condition.
Publication: Artificial Intelligence for Engineering Design, Analysis and Manufacturing archive Volume 21 Issue 4, October 2007 | full text (PDF)
Year: 2007