To more accurately learn reliability on anti-overturning stability for a truck crane, a parametric multi-body dynamics model is built in a dynamic software environment with overall key parameters as design variables. On this basis, stability criteria of this truck crane are established according to the working conditions and crane dynamics simulation results. After a truncated normal distribution sampling method is given for design variables which will effect on truck crane's stability, the reliability analysis of this truck crane is done via Monte Carlo method. The result indicates that the truck crane's stability reliability is 0.9998 in the most dangerous working condition. Analysis shows that the reliability calculation of truck crane anti-overturning stability is feasible using modern multi-body dynamics and Monte Carlo method, and the results are more accurate than conventional safety factor method.

To accurately compare lifting performance of different wheeled cranes , with discrete original sample data as source data, telescopic boom length and lifting radius as design variables, a surface interpolation mathematical model about crane lifting capacity is built based on improved bicubic interpolation method. On this basis, an analysis is done between a 80 tons truck crane and its upgraded product. The result indicates: under the working conditions of the telescopic boom and maximum counterweight, upgraded product lifting performance is improved significantly, more than 80% of the design points increase above 10%, more than 50% of the design points increase above 20%, and about 10% design points increase less than 7%. The analysis shows that the improved bicubic interpolation method is feasible to predict surface interpolation based on scattered points, it provides accurate data to wheeled cranes lifting performance comparison study.