Open Access
| Issue |
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
|
|
|---|---|---|
| Article Number | 04070 | |
| Number of page(s) | 5 | |
| Section | Civil, Architectural Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202016504070 | |
| Published online | 01 May 2020 | |
- Huang H.W, Bian Y.H. (2005) Risk management in the construction of deep excavation engineering[J]. Chinese Journal of Underground Space and Engineering, 1 (4): 611-614. [Google Scholar]
- C hoi H.H, Cho H.N, Seo J.W. (2004) Risk assessment methodology for underground constriction projects[J]. Journal of Construction Engineering and Management, 130(2): 258-272. [Google Scholar]
- He X.X, Zhou H.B, Y H. (2006) Construction risk identification and assessment of a deep foundation pit in Shanghai[J]. Chinese Journal of Geotechnical Engineering, 28 (Supp.): 1912-1915. [Google Scholar]
- Todinov M.T. (2005) Reliability and risk models[M]. England: John Wiley & Sons. [CrossRef] [Google Scholar]
- Guo Zhongwei. Risk analysis and decision[M]. Beijing: China Machine Press, 1987. [Google Scholar]
- Qin B.J, Zhang S.K. (1998) Risk assessment of dynamic process[J]. Journal of Shanghai Jiaotong University, 32 (11): 17-20, 25. [Google Scholar]
- Zhao H, Li Y.J, Song T. (1998) Study on engineering project risk management based on Bayesian network[J]. Journal of Shenyang University of Technology (Social Sciences Edition), 1 (3): 239-244. [Google Scholar]
- Yue X, Sun Z.L, Zhang Y.Q, et al. (2001) Data mining technology in web logs based on the cloud model[J]. Application Research of Computers, (11): 113-116. [Google Scholar]
- Jiang R, Li D.Y, Chen H. (2000) Time series prediction with cloud models in DMKD[J]. Journal of PLA University of Science and Technology (Natural Science), (5): 13-18. [Google Scholar]
- Xia Y.Y, Chen C.S, Chen J.P, et al. (2016) Dynamic Risk Assessment of Deep Foundation Pit Construction Based on Field Monitoring [J]. Chinese Journal of Underground Space and Engineering, 5(12): 1378-1384. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.