Cross entropy weight minimization of a compressive strut
Obrien, Eugene J.
Micu, L. Alexandru
Date of Issue2016
Proceedings of the 2nd International Conference on Progress in Additive Manufacturing (Pro-AM 2016)
Singapore Centre for 3D Printing
In this study, a population-based optimization algorithm is used to minimize the weight of a compressive strut. A geometrically nonlinear analysis is carried out to get an accurate measure of the structure’s true capacity, allowing for individual member and overall structure (and sub-structure) buckling. To overcome the computational challenge of nonlinear analysis, the study uses a simple definition of the onset of instability and hence the number of iterations is cut to a minimum.
© 2016 by Pro-AM 2016 Organizers. Published by Research Publishing, Singapore