起重机臂架动力学多目标全局优化OA

For the dual-objective optimization of self-weight and dynamic performance of luffing-jib tower cranes,an efficient novel optimization method combining multi-parameter structural multi-condition finite element analysis with multiple algorithms was proposed.Firstly,a parametric finite element model of crane jibs was constructed to obtain the ultimate stress and deformation under different amplitudes.Based on this,the most critical condition was identified and adopted as the base condition for optimization.Secondly,the jib cross-section and member cross-sections were selected as structural design variables,and Latin hypercube sampling was adopted to select sample points.A Kriging surrogate model was constructed based on the structural performance simulation data,and its accuracy was verified.Finally,multi-objective optimization was performed using the NSGA-II algorithm to obtain Pareto optimal solutions for the jib structure.The results demonstrate that the self-weight of the optimized jib was reduced by 14.22%,and it exhibited superior dynamic performance during hoisting transient states,with significantly reduced tip deflection.