基于蝠鲼算法的散货货棚空间桁架轻量化设计  

Lightweight Design of Space Truss of Bulk Cargo Shed Based on MRFO Algorithm

作　　者：熊宏武 孙文 蔡大鹏 张立朝 肖佩弦 XIONG Hongwu;SUN Wen;CAI Dapeng;ZHANG Lichao;XIAO Peixian(China Railway Port Bureau Group Co.Ltd.,Zhuhai 519000,China;School of Civil Engineering&Architecture,Wuhan University of Technology,Wuhan 430070,China)

机构地区：[1]中国铁建港航局集团有限公司,珠海519000 [2]武汉理工大学土木工程与建筑学院,武汉430070

出　　处：《武汉理工大学学报（交通科学与工程版）》2023年第5期887-890,896,共5页Journal of Wuhan University of Technology（Transportation Science & Engineering）

基　　金：国家自然科学基金(51908437)。

摘　　要：针对792根杆构成的散货货棚空间桁架结构,在保证承载力不变的前提下,采用蝠鲼觅食优化算法(manta ray foraging optimization,MRFO)对结构构件尺寸进行轻量化优化,并评估优化前后的结构用钢量进行评估.在搜索过程中,采用改进的Deb规则过滤冗余的结构分析,提高搜索效率.结果表明:采用MRFO算法和改进的Deb规则对散货货棚进行优化后,与原设计结构相比,材料节省了19.8%.Aiming at the space truss structure of bulk cargo shed composed of 792 poles,the manta ray foraging optimization(MRFO)was used to optimize the dimensions of structural members,and the steel consumption of the structure before and after optimization was evaluated.In the search process,the improved Deb rule was used to filter redundant structural analysis and improve the search efficiency.The results show that the bulk cargo shed is optimized by MRFO algorithm and improved Deb rule,and compared with the original design structure,the material is saved by 19.8%.

关 键 词：MRFO算法 约束处理技术 空间桁架结构 优化设计 

分 类 号：TU318[建筑科学—结构工程]