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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

Author(s)
O'Brien, Eugene J.  
Malekjafarian, Abdollah  
Micu, Alexandra  
Uri
http://hdl.handle.net/10197/9245
Date Issued
2016-05-19
Date Available
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.
Sponsorship
Science Foundation Ireland
Enterprise Ireland
Type of Material
Conference Publication
Publisher
Research Publishing Services
Subjects

Evolutionary algoritm...

Additive manufacturin...

Web versions
http://www.pro-am2016.com/
Language
English
Status of Item
Peer reviewed
Journal
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
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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c187.pdf

Size

397.53 KB

Format

Adobe PDF

Checksum (MD5)

a72944767626d94ff92fb9848e5a358c

Owning collection
Civil Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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