Taking the torsional beam of the car as the research object, the fatigue life of the torsional beam is analyzed through the simulation experiment, and the optimization scheme is selected according to the life of the torsional beam. Firstly, eight component thicknesses are selected as design variables by Plackett-Burman experimental design method, and the radial basis function neural network approximate model of the beam is established. Taking the maximum equivalent stress of the beam as the optimization objective, the beam mass, and the maximum deformation as the constraint conditions, the multi-objective optimization is carried out, and then two new structural design schemes are carried out for the parts with a rich life. The optimization results show that the maximum deformation is reduced by 15.9%, the maximum equivalent stress is reduced by 10.1%, and the overall life of the beam is extended by 40.6%.
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