Blade geometric deviation pneumatic uncertainty quantification method based on sensitivity-assisted Sobol full-order sensitivity depth dimensionality reduction
The invention discloses a blade geometric deviation pneumatic uncertainty quantification method based on sensitivity-assisted Sobol full-order sensitivity depth dimensionality reduction. The method provided by the invention comprises two stages, namely a blade geometric deviation PCA decomposition s...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses a blade geometric deviation pneumatic uncertainty quantification method based on sensitivity-assisted Sobol full-order sensitivity depth dimensionality reduction. The method provided by the invention comprises two stages, namely a blade geometric deviation PCA decomposition stage and a sensitivity-assisted Sobol sensitivity analysis depth dimension reduction and uncertainty quantification stage. In the first stage, a principal component analysis (PCA) method is adopted to decompose geometric deviation of the blade to obtain a main characteristic mode. In the second stage, the influence of the main characteristic mode on the target aerodynamic parameters is rapidly calculated by adopting a sensitivity method, Sobol full-order sensitivity analysis is carried out, and deep dimension reduction is carried out according to an analysis result; and finally, based on a Sobol full-order sensitivity analysis result or a depth dimension reduction result, obtaining a blade geometric deviation pneum |
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