首页> 外国专利> ANALYTICAL MODELING SYSTEM OF RETRACTABLE LARGE SPACE STRUCTURE USING PARAMETRIC METHOD

ANALYTICAL MODELING SYSTEM OF RETRACTABLE LARGE SPACE STRUCTURE USING PARAMETRIC METHOD

机译:参数化可伸缩大空间结构解析建模系统

摘要

The present invention relates to an analytical modeling system of a retractable large space structure using a parametric method, which facilitates geometric reproduction of an atypical roof including a retractable roof through parametric modeling, automatically inputs a load to a structure in consideration of a driving mechanism of a roof, and efficiently performs structural analysis and review of results of alternatives repeatedly performed in a design process. For the structural analysis of the retractable roof structure, in which a movable roof runs along a main runway truss, in a computer program, the analytical modeling system of a retractable large space structure using a parametric method comprises: a parametric load distribution module for distributing a load of a movable roof member to a node corresponding to a main runway truss member, wherein the main runway truss and the movable roof are modeled by the main runway truss member and the movable roof member, the movable roof member is parameterized to vary the position of the movable roof member according to the input opening/closing rate of the movable roof; and a structural analysis module for having the main runway truss member matched with member information, and receiving load information calculated by the parametric load distribution module so as to match the load information with a joint of the main runway truss member to perform structural analysis.;COPYRIGHT KIPO 2019
机译:本发明涉及一种使用参数化方法的可伸缩大空间结构的分析建模系统,其通过参数化建模促进包括可伸缩屋顶的非典型屋顶的几何再现,并考虑到驱动机制而自动向结构输入载荷。屋顶,并有效地执行结构分析和审查在设计过程中重复执行的替代方案的结果。为了对可移动屋顶沿主跑道桁架运行的可伸缩屋顶结构进行结构分析,在计算机程序中,使用参数方法的可伸缩大空间结构的分析建模系统包括:用于分配的参数载荷分配模块可移动车顶构件到对应于主跑道桁架构件的节点的载荷,其中主跑道桁架和可移动车顶由主跑道桁架构件和可移动车顶构件建模,可移动车顶构件被参数化以改变根据所述活动顶板的输入打开/关闭速率,所述活动顶板构件的位置;结构分析模块,其使主跑道桁架构件与构件信息匹配,并接收由参数载荷分布模块计算出的载荷信息,以使载荷信息与主跑道桁架构件的接头匹配,以进行结构分析。版权KIPO 2019

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