Cross entropy weight minimization of a compressive strut
|Title:||Cross entropy weight minimization of a compressive strut||Authors:||O'Brien, Eugene J.
|Permanent link:||http://hdl.handle.net/10197/9245||Date:||19-May-2016||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
|Type of material:||Conference Publication||Publisher:||Research Publishing Services||Keywords:||Evolutionary algoritms; Additive manufacturing||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|
|Appears in Collections:||Civil Engineering Research Collection|
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