摘要
为提升铝合金板式节点网壳深化放样的效率,建立了用于描述铝合金板式节点网壳结构中网格划分、杆端构造、杆件形状、节点板形状的数据结构,提出了网壳关键几何参数、节点板形状参数和杆件形状参数的关键算法。该算法适用强,可用于常规曲率变化平缓的自由曲面网壳。采用该算法开发了基于Rhino与Grasshopper平台的铝合金板式节点网壳深化设计系统,该系统可根据铝合金网壳结构的杆件轴线、杆件截面信息、杆端构造等输入数据,计算得到杆件及节点板的尺寸参数,具有极高的运行效率,可快速生成结构所有零部件的加工图和三维实体模型。通过设计算例展示了该系统的工作流程和模型效果,并使用该系统进行典型工程算例设计。与传统的网壳深化设计方法相比,该系统可显著提升板式节点网壳深化设计的效率。
In order to improve the efficiency of the detailed design and lofting for aluminum alloy reticulated shells with gusset joints,the data structures were established to describe the mesh division,connection details of the member ends,the shape of gusset plates and members in aluminum alloy reticulated shell structure with gusset joints.Besides,the key algorithms of the key geometric parameters of reticulated shells,the shape parameters of gusset plates and members were proposed.The applicability of the algorithm is strong,and it can be applied to the free-form lattice shell whose curvature changes gently.Using these algorithms,a detailed design system based on the Rhino and Grasshopper platform was developed for aluminum alloy reticulated shells with gusset joints.This system can calculate the shape parameters of all members and gusset plates according to the input data of the member axis,member section information,and the connection details of the member end.The system has extremely high operational efficiency,and can generate 2D processing drawings and 3D solid models of all structural components within minutes.The workflow and model effect of the system were shown through design cases,and some engineering cases using this system were briefly introduced.Compared with the traditional detailed design method of reticulated shells,the proposed system can significantly improve the efficiency of the detailed design of aluminum alloy reticulated shells with gusset joints.
作者
李政宁
郭小农
欧阳辉
曾强
LI Zhengning;GUO Xiaonong;OUYANG Hui;ZENG Qiang(College of Civil Engineering,Tongji University,Shanghai 200092,China)
出处
《建筑结构学报》
EI
CAS
CSCD
北大核心
2023年第8期246-254,共9页
Journal of Building Structures
基金
国家自然科学基金项目(51878473)。