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基于IFC标准的简支梁钢筋模型参数化自动生成
作者姓名:陈红伦  徐嘉懿  王春江  邓雪原
作者单位:上海交通大学土木工程系,上海,200240;上海交通大学土木工程系,上海,200240;上海交通大学土木工程系,上海,200240;上海交通大学土木工程系,上海,200240
基金项目:“十三五”国家重点研发计划项目(2016YFC0702000);“十三五”国家重点研发计划课题(2016YFC0702001)
摘    要:基于 BIM 技术的钢筋模型可以用于工程量直接计算、指导施工、碰撞检查和钢筋 自动加工等。虽然部分软件如 Revit 和 Tekla 可以输出钢筋工业基础类(IFC)模型,但是需要根 据结构设计软件的配筋结果重新建模,且核心算法没有公开,国内后续理论研究和软件开发均 无法参考;另外,现阶段研究主要集中于通过二次开发的方式实现不同软件之间的钢筋信息共 享,该方法不具有通用性。本文对钢筋模型几何信息在 IFC 标准中表达方式进行解析,并研究 利用结构设计结果参数自动生成基于 IFC 标准的钢筋模型,重点进行几何信息的生成算法研究。 最后通过程序生成带有纵筋和箍筋的简支梁 IFC 模型,验证了算法的可行性。

关 键 词:建筑信息模型  IFC标准  钢筋模型  几何信息  参数化生成

Automatic Generation of Parameterized Reinforcement Model Based on IFC Standard for a Simply Supported Beam
Authors:CHEN Hong-lun  XU Jia-yi  WANG Chun-jiang  DENG Xue-yuan
Affiliation:Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Abstract:The rebar model based on BIM technology can be used for direct calculation of engineering quantity, construction guidance, collision detection and automatic processing. Although the rebar model can be output by some software such as Revit and Tekla, the model needs to be re-established according to the results of structural design software. The core algorithm of these software is not open, which cannot be used for reference by domestic theoretical research or software development. Besides, current research mainly focuses on secondary development for the information sharing between different software, which is not universal. This paper analyzes how to express the geometric information of the rebar model in industry foundation classes (IFC) standard and studies how to use parameters to generate the rebar model based on IFC standard automatically. This study focuses on the generation algorithms for the geometric information of reinforcement model. At the end, the feasibility of the algorithm is verified by generating a simply supported beam IFC model with longitudinal rebar and stirrups.
Keywords:building information model  industry foundation classes standard  rebar model  geometric information  parameterized generation  
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