Passenger vehicle floor structure design optimization method based on hierarchical perception network

The invention discloses a passenger vehicle floor structure design optimization method based on a hierarchical perception network, and belongs to the technical field of passenger vehicle vibration and noise reduction design, and the method comprises the steps: 1, building the data sample information...

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Hauptverfasser: LI SHOUKUI, SONG YU, LUO BAICHENG, SHI JIXIA, WU JIAN, YUAN JIN, CHEN XI
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a passenger vehicle floor structure design optimization method based on a hierarchical perception network, and belongs to the technical field of passenger vehicle vibration and noise reduction design, and the method comprises the steps: 1, building the data sample information of a particle damper in the aspects of particle material, filling rate and particle size through an orthogonal experiment; 2, establishing a hierarchical perception network prediction model based on particle materials, filling rates and particle sizes; 3, adopting a hierarchical perception network prediction model as an optimization model of vibration and noise reduction performance, and solving through a vibration noise parallel target optimization algorithm to obtain the optimal configuration of the particle material, the filling rate and the particle size; and 4, verifying the validity and the feasibility of the result. According to the method, particle damping is introduced, a hierarchical sensing network tech