Cross entropy weight minimization of a compressive strut

Cross entropy weight minimization of a compressive strut

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) buck...

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Bibliographic Details
Main Authors: Micu, L. Alexandru, Obrien, Eugene J., Malekjafarian, Abdollah
Other Authors: Proceedings of the 2nd International Conference on Progress in Additive Manufacturing (Pro-AM 2016)
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
Cross-entropy
Optimization
Online Access:https://hdl.handle.net/10356/84407
http://hdl.handle.net/10220/41758
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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