摘要
160 t全预制架桥机中的起重小车为直接受载部分,借助响应面代理模型对前起重小车的车架结构进行优化。使用相关性分析法和MMD算法选出具有代表性的样本点。通过AR-Kriging方法和多目标遗传算法对车架进行了优化。在对候选点进行验证比较后,确定了最终的优化结果,优化后车架的质量减轻了14.3%。
The lifting trolley in the 160 t fully prefabricated bridge erecting machine is the directly loaded part,and the frame structure of the front lifting trolley is optimized with the aid of the response surface proxy model.Use corre⁃lation analysis and MMD algorithm to select representative sample points.The frame is optimized by AR-Kriging method and multi-objective genetic algorithm.After verifying and comparing the candidate points,the final optimiza⁃tion result was determined.After optimization,the mass of the frame was reduced by 14.3%.
作者
韩林山
迟明
刘耀
唐明昊
HAN Linshan;CHI Ming;LIU Yao;TANG Minghao(College of Mechanical,North China University of Water Resources and Electric Power,Zhengzhou Henan 450045)
出处
《河南科技》
2021年第36期32-35,共4页
Henan Science and Technology
基金
郑州市重大科技创新专项项目(2020CXZX0065)。
关键词
架桥机
相关性分析
MMD算法
AR-Kriging法
响应面优化
bridge erecting machine
correlation analysis
MMD algorithm
AR-Kriging method
response surface op⁃timization
