The application discloses a steel-carbon
fiber hybrid anti-climbing
energy absorption optimization method for a track vehicle filling
dot array, and comprises the following steps: establishing a finite
element model of an anti-climbing
energy absorption device of a track vehicle and setting design variables of a
dot array energy absorption structure, generating HQLS
dot array energy absorption structure samples in the range of the design variables by adopting a full
factor method combined with a Latin
hypercube sampling method, and generating response indexes of each sample by
finite element simulation calculation; adopting a moving least square method to construct a
mechanical property surrogate model, adopting a global
adaptive response surface method to perform
global optimization on the
surrogate model, and obtaining an optimal balance solution of
specific energy absorption and average crushing force based on a Pareto front, generating
optimal design variables, and substituting the
optimal design variables into the finite
element model to verify errors; if the errors meet a preset accuracy, optimal parameters are output, otherwise, iteration is updated. The anti-climbing energy absorption optimization method can perform
global optimization on the geometry and material configuration of the anti-climbing energy absorption structure of the track vehicle under the conditions of multiple parameters and multiple targets.