Open Access
Issue
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
Article Number 04008
Number of page(s) 4
Section Civil, Architectural Engineering
DOI https://doi.org/10.1051/e3sconf/202016504008
Published online 01 May 2020
  1. Wang Ru, Zhang Xiang, Han Tingting. Research on Standardization and Quantitative Extraction of Component Information of Ancient Buildings Based on BIM [J]. Civil Engineering Information Technology,2014,6(01):25-28. [Google Scholar]
  2. Wang Ru, Sun Weixin, Zhang Xiang. Implementation Method of Ming and Qing Ancient Building Modeling System Based on BIM [J] .Journal of Donghua University (Natural Science Edition), 2013, 39(04): 421-426 [Google Scholar]
  3. Xu Zhao, Xu Xiayan, Li Qiming, Zhang Xing. Visual analysis method of building information model based on WebGL and IFC [J] .Journal of Southeast University (Natural Science Edition),2016,46(02):444-449. [Google Scholar]
  4. Ferreira N.B.T.. A WebGL application based nn BIM IFC[D]. Portugal: Universidade Fernando Pessoa, 2012 [Google Scholar]
  5. Lin T.H. Cloud BIM: A Web-based BIM system with application of cloud computing and WebGL [D]. Tai-pai, China: National Taiwan University of Science and Technology, 2012 [Google Scholar]
  6. Nour M. Performance of different(BIM/IFC)exchange formats within private collaborative workspace for collaborative work[J].Journal of Information Technology in Construction, 2009, 14:736-752. [Google Scholar]
  7. Eastman C.M.,Jeong Y.S.,Sacks R,et al. Exchange model and exchange object concepts for implementation of national BIM standards[J].ASCE Journal of Computing in Civil Engineering, 2010, 24(1):25-34.DOI:10.1061/(ASCE)0887-3801(2010)24:1(25). [Google Scholar]

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