Vehicle frame stress extrapolation method based on neural network

The invention discloses a frame stress extrapolation method based on a neural network, and relates to the technical field of frame stress, and the method comprises the steps: S1, data preparation; s2, constructing a neural network model; s3, establishing a hydro-pneumatic suspension rigidity model; and S4, frame stress extrapolation analysis. According to the method, through accurate hydro-pneumatic suspension attitude analysis and accurate conversion of the extension amount and the pressure data, in combination with the strong learning ability of the neural network model, accurate prediction of the frame stress can be realized. According to the prediction method, the limitation of a traditional test method is overcome, various possible attitude changes can be covered more comprehensively, and the prediction accuracy is improved. Compared with a traditional test method in the prior art, the method has the advantages that the neural network model is used for extrapolation prediction of the frame stress, a larg