Cross entropy weight minimization of a compressive strut

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Title: Cross entropy weight minimization of a compressive strut
Authors: O'Brien, Eugene J.Malekjafarian, AbdollahMicu, Alexandra
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Date: 19-May-2016
Online since: 2018-02-21T16:05:31Z
Abstract: 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.
Funding Details: Science Foundation Ireland
Enterprise Ireland
Type of material: Conference Publication
Publisher: Research Publishing Services
Keywords: Evolutionary algoritmsAdditive manufacturing
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Language: en
Status of Item: Peer reviewed
Is part of: Chua, C.K., Yeong, W.Y., Tan, M.J., & Liu, E.J. Proceedings of the Second International Conference on progress in additive manufacturing (Pro-Am 2016)
Conference Details: 2nd International Conference on Progress in Additive Manufacturing (Pro-AM 2016), Singapore, May, 2016
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Appears in Collections:Civil Engineering Research Collection

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