Research On The Design And Optimization Technology Of Underbody Protection Components Of A Certain Type Of Vehicle

The bottom protection of military vehicles is an important research content to protect the safety of occupants in an explosive environment.In the battlefield environment,facing the threat of landmines and improvised explosive devices,the bottom protection component is the vehicle's first line of defense against the impact of the explosion,which can effectively reduce the threat of the explosion to occupants.The research status of protective vehicles,protective components and optimized design at home and abroad is studied,and the content of this article is proposed,including the design method of the bottom protective component and the optimization method of the bottom protective component.Analyze the response of the shock load structure and the propagation characteristics of stress waves in the explosive environment to guide the design of protective components.In the optimization design,in order to improve the optimization accuracy,a method of establishing a high-precision proxy model based on neural networks is studied,and the analysis is performed.The principle and algorithm flow of non-dominated sorting genetic algorithm(NSGA-II),multi-objective simulated annealing algorithm(MOSA),and multi-objective particle swarm algorithm(MOPSO)were introduced.Based on the explosion test bench and related material tests,a finite element model of the explosion test bench is established,and the design method and process of the bottom protection component are proposed.The explosion test bench model is used to analyze the protection characteristics of each substructure,including the panel structure,sandwich structure and backplane structure.According to the vehicle test bench model,a finite element model is established,and the finite element simulation and test results are compared and analyzed to verify the accuracy of the finite element model and the accuracy of the explosive flow field.Taking the vehicle test bench model as the research object and combining the design method of the bottom protection component,the bottom protection component is designed.Apply the neural network model pruning algorithm,model accuracy evaluation algorithm and model screening algorithm to obtain the high-precision proxy model,which applied in this environment.Three optimization algorithms were applied,combined with the established proxy model,to obtain the pareto optimal solution set,which was verified by finite element simulation to obtain the optimal solution set,and tested on the vehicle test bench.The optimized target met the limit requirements.