公开(公告)号：US20220138582A1

公开(公告)日：2022-05-05

申请号：US17424785

申请日：2021-02-22

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Peng HAO ,  Kunpeng ZHANG ,  Dachuan LIU ,  Bo WANG ,  Gang LI ,  Yuhui DUAN ,  Yunfeng SHI ,  Yutong WANG

IPC: G06N3/08 ,  G06V10/774 ,  G06F30/17 ,  G06F30/27

Abstract: An intelligent layout design method of curvilinearly stiffened structure based on image feature learning. Firstly, the design variables of the curvilinearly stiffened structure are determined based on the path function. The autoencoder network is built to complete the learning of the structural characteristics of the image, and the transfer learning of the model is further carried out. The convolution neural network is built to complete the learning of the image set with mechanical response labels. Finally, the evolutionary algorithm is used to optimize the layout of the curvilinearly stiffened structure based on the model. The invention solves the problem that the traditional optimization method is difficult to deal with the optimization design with many and variable design variables, and is expected to become one of the most potential technical means involved in the layout design of components in the engineering field.