Inner bore complex surface contact collision response prediction method based on self-optimization CNN

Abstract

The invention relates to an inner bore complex surface contact collision response prediction method based on a self-optimization convolutional neural network (CNN). The method comprises the steps: S1,building a wear barrel-projectile contact collision finite element model according to a barrel-projectile test platform based on artillery shooting test data; S2, constructing a sample set based on the finite element model in combination with a test result of the test platform; S3, based on the sample set, realizing hyper-parameter self-optimization according to a cooperative work mechanism of agenetic algorithm-sequential quadratic programming algorithm combination optimization algorithm, thereby obtaining an optimal hyper-parameter group; meanwhile, carrying out training in optimization ofhyper-parameters, and obtaining an optimal barrel-projectile contact collision model based on the self-optimization CNN; S4, further researching a contact collision response change rule according tothe obtained barrel-projectile contact collision model. According to the method, the influence of the complex surface of the abraded inner bore and the contact collision energy loss are considered, and the prediction efficiency is greatly improved while the response precision is ensured.

Description

technical field [0001] The invention relates to the technical field of contact collision analysis, in particular to a method for predicting the contact collision response of inner bore complex surfaces based on self-optimizing CNN. Background technique [0002] Artillery is a complex multi-body system, and its shooting accuracy is an important indicator of its tactical performance. Affected by the gap between the projectile and the gun, the projectile will continue to have violent elastic-plastic contact and collision with the barrel during the high-speed movement in the bore, resulting in mutual coupling between the flexible vibration of the barrel and the movement in the projectile chamber, causing disturbance of the projectile muzzle and reducing the shooting accuracy of the artillery . During the service period of the artillery, the ablation and erosion of the high-temperature and high-pressure propellant gas and the repeated mechanical action of the projectile will cau...

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Problems solved by technology

[0005] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides a method for predicting the contact collision response of the complex surface of the inner bore based on self-optimizing CNN, which solves the problem of high-efficiency and high-precision prediction of the contact collision response under the condition of considering the wear of the gun inner bore. , and help to clarify the technical issues of the force state and motion law in the projectile chamber

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