The proposed intelligent analysis method bridges high-fidelity modeling and computational efficiency. It uses an iterative algorithm to identify optimal mode shapes, achieving a key response error of less than 3.5% against the high-fidelity benchmark Open (IMAGE)

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The proposed intelligent analysis method bridges high-fidelity modeling and computational efficiency. It uses an iterative algorithm to identify optimal mode shapes, achieving a key response error of less than 3.5% against the high-fidelity benchmark Open

Caption

The proposed intelligent analysis method bridges high-fidelity modeling and computational efficiency. It uses an iterative algorithm to identify optimal mode shapes, achieving a key response error of less than 3.5% against the high-fidelity benchmark OpenFAST, enabling faster and reliable wind turbine dynamic simulation.

Credit

Xuhong Zhou/Chongqing University, Jiepeng Liu/Chongqing University, Guoqing Huang/Chongqing University, Liang Cao/Hunan University, Maolin Dai/Chongqing University

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