Composite material axle tube damage identification network training method, application method and medium

The invention discloses a training method and an application method of a damage identification network of a composite material axle tube and a medium, and the training method comprises the steps: employing a preset finite element analysis method, respectively applying bending loads to a plurality of axle tubes with different position layering damage degrees, and determining the strain information of the axle tubes under different damage conditions; the axle tube strain information serves as a training sample set to be input into a constructed damage recognition network, the predicted axle tube damage condition is determined, a loss function is determined according to the true damage condition and the predicted damage condition, and the damage recognition network is a DNN neural network model; and according to the value of the loss function, adjusting parameters of the damage identification network to meet a convergence condition, and determining the completely trained damage identification network. According