A global surrogate model for high-dimensional structural systems based on partial least squares and Kriging

Mechanical Systems and Signal Processing（2022）

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摘要

•A global surrogate model technique is developed based on partial least squares (PLS) and Kriging.•The proposed PLS-K model is used for uncertainty propagation of systems.•PLS-K can alleviate the computational burden of modeling and prediction.•Error-based weights updating procedure is used to improve the prediction accuracy.•The weights updating criteria is derived analytically based on Kriging.

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关键词

Partial least squares (PLS),Kriging,Uncertainty propagation,Dimensionality reduction,Surrogate model

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