14-07-2023 дата публикации
Номер: CN116434888A
Принадлежит:
The invention belongs to the field of composite material structure and artificial intelligence interaction, and particularly relates to an artificial intelligence-based bistable composite material structure vibration frequency optimization method, which comprises the following steps of: laying angle data for randomly generated cylindrical shell structure fibers, and classifying the data; training the data to obtain a classifier which is judged to accord with a constraint condition; establishing a finite element model, inputting data meeting constraint conditions into the finite element model, obtaining vibration frequencies corresponding to different fiber laying angles, different arc lengths and different wrap angles, and inputting the vibration frequencies into a BP neural network to obtain a calculation model of the vibration frequencies; and taking the classifier and the calculation model as objective functions of an improved particle swarm optimization algorithm, taking the fiber laying ...
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