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  5. Cross entropy weight minimization of a compressive strut
 
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Cross entropy weight minimization of a compressive strut

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Author(s)
O'Brien, Eugene J. 
Malekjafarian, Abdollah 
Micu, Alexandra 
Uri
http://hdl.handle.net/10197/9245
Date Issued
19 May 2016
Date Available
21T16:05:31Z February 2018
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.
Sponsorship
Science Foundation Ireland
Enterprise Ireland
Type of Material
Conference Publication
Publisher
Research Publishing Services
Keywords
  • Evolutionary algoritm...

  • Additive manufacturin...

Web versions
http://www.pro-am2016.com/
Language
English
Status of Item
Peer reviewed
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)
Description
2nd International Conference on Progress in Additive Manufacturing (Pro-AM 2016), Singapore, May, 2016
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Civil Engineering Research Collection
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