Optimization of Composite Material Barrel Based on BP Neural Network Approximate Analysis

摘要

In order to improve the computational efficiency during the simulation and optimization process for the composite structure, the approximate analysis method was studied. The approximate analysis model was established for the composite material barrel by using BP neural network model. According to the network initialization and training, the model was used to replace the finite element analysis in the optimization process. The results showed that the BP neural network approximate model was effective and reliable, and the optimization efficiency was improved obviously.