%A TONG Shui-guang, WANG Xiang-bing, ZHONG Wei, ZHANG Jian %T Dynamic optimization design for rigid landing leg of crane
based on BP-HGA %0 Journal Article %D 2013 %J Journal of ZheJiang University (Engineering Science) %R 10.3785/j.issn.1008-973X.2013.01.018 %P 122-130 %V 47 %N 1 %U {https://www.zjujournals.com/eng/CN/abstract/article_38620.shtml} %8 2013-03-05 %X

Focused on the complexity and highly nonlinearity of the structural dynamics characteristic in the rigid landing leg of gantry crane, the parametric finite element model and the back propagation (BP) neural network were used to establish the mapping relationship between the design variables of rigid landing leg and the maximum dynamic stress, the bending dynamic stiffness, the maximum dynamic displacement on the top of rigid landing leg. The hybrid genetic algorithm (HGA) was adopted based on the established neural network model in order to find the layout optimization of the clapboards, the lateral plates and their sizes in rigid landing leg. The fitness function was constructed based on fuzzy dynamic penalty function to guide the searching direction. Then the requirements of low-stress, high natural frequency and lightweight were meeted. Multi-objective dynamic optimization design systems were developed for the rigid landing leg of a certain crane. Application results indicate that the dynamic structural optimization of rigid landing leg can be effectively conducted, and the design quality and efficiency are evidently improved.