Predicting reliability in multidisciplinary engineering systems under uncertainty
The proposed study develops a framework that can accurately capture and model input and output variables for multidisciplinary systems to mitigate the computational cost when uncertainties are involved. The dimension of the random input variables is reduced depending on the degree of correlation cal...
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Georgia Institute of Technology
2016
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| Online Access: | http://hdl.handle.net/1853/54955 |