基于BIM技术与模拟退火算法的村镇轻钢框架结构智能设计方法
CSTR:
作者:
作者单位:

1.天津大学,建筑学院,天津 300072;2.天津大学,未来技术学院,天津 300072;3.天津大学,建筑工程学院,天津 300072

作者简介:

周婷(1984- ),女,博士,副教授,主要从事钢结构研究,E-mail: zhouting1126@126.com。
brief: ZHOU Ting (1984- ), PhD, associate professor, main research interest: steel structure, E-mail: zhouting1126@126.com.

通讯作者:

陈志华(通信作者),男,教授,博士生导师,E-mail: zhchen@tju.edu.cn。

中图分类号:

TU241.4;TU318

基金项目:

国家重点研发计划(2019YFD1101005);国家建筑工程技术研究中心开放基金(BSBE2022-13)


Intelligent design of rural light steel frame structure based on BIM and simulated annealing algorithm
Author:
Affiliation:

1.School of Architecture, Tianjin University, Tianjin 300072, P. R. China;2.School of Future Technical, Tianjin University, Tianjin 300072, P. R. China;3.School of Civil Engineering, Tianjin University, Tianjin 300072, P. R. China

Fund Project:

National Key Research and Development Program of China (No. 2019YFD1101005); National Construction Engineering Technology Research Center Open Fundation Project (No. BSBE2022-13)

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    传统村镇住宅结构设计需要进行大量的人工试算与重复建模,而受制于建设成本,村镇住宅无法像城镇住宅一样通过设计师进行专业的结构设计与验算,其安全性与经济性均难以满足要求。为此,提出一种村镇轻钢框架结构智能设计方法,包括智能建模与智能优化两个环节。基于图层自动识别算法、光学字符识别技术、自适应分块算法提出村镇轻钢框架结构BIM智能建模方法,包括图层识别、轴文本数据提取、墙体轮廓提取等,智能建模结果基本满足实际工程要求。基于提出的两阶段模拟退火算法给出村镇轻钢框架结构的智能优化方法,优化速度较快,优化效果良好。通过实际工程案例对提出的智能设计方法进行验证,结果表明,提出的村镇轻钢框架结构智能设计方法具有可行性,与传统的人工设计方法相比,设计周期可缩短70%以上,材料用量、结构设计指标接近人工设计结果。

    Abstract:

    In the traditional structural design process, rural buildings require a lot of manual calculations and repeated modeling. However, due to the constraint of construction cost, they cannot be designed and checked professionally as urban types, and the safety and economy are difficult to meet the requirements. In this study, an intelligent design approach for structural design of rural light steel frame structure was proposed, including the intelligent modeling and optimization. Based on the automatic layer classification method (ALCM), optical character recognition technology (OCR) and adaptive block algorithm, BIM intelligent modeling method was proposed where layer recognition, the extraction of axis text data and wall contour were included, and generated structural models satisfied the requirements of engineering practice. Based on the proposed two-stage simulated annealing algorithm, the intelligent optimization method was proposed and verified by case histories. Results showed that the proposed intelligent design method was feasible. Compared with the traditional method, its time use could be shortened by more than 70%, and the material consumption and structural design parameters were similar.

    参考文献
    相似文献
    引证文献
引用本文

周婷,孙克肇,陈志华,刘红波.基于BIM技术与模拟退火算法的村镇轻钢框架结构智能设计方法[J].土木与环境工程学报(中英文),2024,46(1):139-151. ZHOU Ting, SUN Kezhao, CHEN Zhihua, LIU Hongbo. Intelligent design of rural light steel frame structure based on BIM and simulated annealing algorithm[J]. JOURNAL OF CIVIL AND ENVIRONMENTAL ENGINEERING,2024,46(1):139-151.10.11835/j. issn.2096-6717.2023.011

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2022-11-22
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2023-12-05
  • 出版日期:
文章二维码