Multi-Factors Analysis of Annular Shaped Charge Capability of Penetrating Target Board

The relationship between the structural parameters and penetration capacity of annular shaped charge is hard to express by analytical mathematical formulas, so it is meaningful to establish a model to describe this relationship using the grey relational analysis theory.In our study, the orthogonal test data were at first processed by the grey correlation theory, transforming the multi-objective problem into a single objective problem and obtaining the grey correlation degree between the structural parameters and penetration ability.The support vector machine (SVM) network regression models based on the parameter optimization algorithm methods of support vector regression, particle swarm optimazition, and genetic algorithm were then used to forecast the grey correlation degree and predict annular shaped charge capability.The results show that the fitted curve of the SVM regression model based on the GA algorithm is the most accurate, and can successfully describe the relationship between the structural parameters and penetrating ability of the annular shaped charge in the orthogonal test.Finally, using a set of data out of the orthogonal test, the SVM prediction model is verified by comparing the predicted results with the results obtained by LS-DYNA software.