2001
DOI: 10.1061/(asce)0893-1321(2001)14:4(127)
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Stochastic Field Models for Aircraft Jet Engine Applications

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Cited by 7 publications
(1 citation statement)
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“…Blair and Annis [37] used the Choleski decomposition to simulate blade thickness variations, assuming that the thickness variation is a homogeneous and isotropic field. Other researchers, including Ghiocel [38,39], Griffiths and Tschopp [40], Cassenti [41], and Brown and Grandhi [35], have used the KL expansion (or POD, PCA) to simulate more complex stochastic blade thickness variations due to manufacturing. Ghiocel [36] applied the KL expansion, both in the original, nonGaussian stochastic space and transformed Gaussian space.…”
Section: Covariance-based Simulation Modelsmentioning
confidence: 99%
“…Blair and Annis [37] used the Choleski decomposition to simulate blade thickness variations, assuming that the thickness variation is a homogeneous and isotropic field. Other researchers, including Ghiocel [38,39], Griffiths and Tschopp [40], Cassenti [41], and Brown and Grandhi [35], have used the KL expansion (or POD, PCA) to simulate more complex stochastic blade thickness variations due to manufacturing. Ghiocel [36] applied the KL expansion, both in the original, nonGaussian stochastic space and transformed Gaussian space.…”
Section: Covariance-based Simulation Modelsmentioning
confidence: 99%