Dynamic Bayesian Network for Predicting Tunnel-Collapse Risk in the Case of Incomplete Data-Reference-Cited by-同舟云学术

Dynamic Bayesian Network for Predicting Tunnel-Collapse Risk in the Case of Incomplete Data

Author:

Ou Xiaoduo¹,Wu Yufang²,Wu Bo³,Jiang Jie⁴^ORCID,Qiu Weixing⁵

Affiliation:

1. Professor, School of Civil Engineering and Architecture, Guangxi Univ., Nanning 530004, China.

2. Ph.D. Student, School of Civil Engineering and Architecture, Guangxi Univ., Nanning 530004, China.

3. Professor, School of Civil and Architectural Engineering, East China Univ. of Technology, Nanchang 330013, China.

4. Professor, School of Civil Engineering and Architecture, Guangxi Univ., Nanning 530004, China (corresponding author). ORCID: .

5. Master’s Student, School of Civil Engineering and Architecture, Guangxi Univ., Nanning 530004, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

Reference39 articles.

1. Engineering classification of jointed rock masses;Bieniawski Z. T.;Trans. South Afr. Inst. Civ. Eng.,1973

3. Maximum likelihood from incomplete data via the EM algorithm;Dempster A. P.;R. Stat. Soc. London, Ser. B,1977

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