Modeling Spatially Varying Uncertainty in Composite Structures Using Lamination Parameters
Author(s) -
Carl Scarth,
Sondipon Adhikari
Publication year - 2017
Publication title -
aiaa journal
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 158
eISSN - 1081-0102
pISSN - 0001-1452
DOI - 10.2514/1.j055705
Subject(s) - polynomial chaos , random field , karhunen–loève theorem , mathematics , random variable , covariance function , monte carlo method , covariance , series expansion , polynomial , uncertainty quantification , statistical physics , mathematical analysis , algorithm , statistics , physics
An approach is presented for modeling spatially varying uncertainty in the ply orientations of composite structures. Lamination parameters are used with the aim of reducing the required number of r...
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