Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)

Research on Safety Risk Assessment of Construction of Large Formwork Based on Fuzzy Bayesian Network

Authors
Yijing Peng
Corresponding Author
Yijing Peng
Available Online January 2018.
DOI
10.2991/macmc-17.2018.17How to use a DOI?
Keywords
Risk assessment; tall template; Bayesian network; fuzzy comprehensive evaluation
Abstract

In view of the fact that the existing large template construction accidents are complicated, combined with the project examples, we have established the risk evaluation index system of the tall template construction, and identified the dangerous sources during the construction of the tall template.In this paper, Bayesian network was combined with fuzzy comprehensive evaluation method, and combined with the actual project carried out the construction risk assessment, the results show that the method has a reasonable applicability, can be used for managers in the construction risk assessment reference.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
Series
Advances in Engineering Research
Publication Date
January 2018
ISBN
10.2991/macmc-17.2018.17
ISSN
2352-5401
DOI
10.2991/macmc-17.2018.17How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yijing Peng
PY  - 2018/01
DA  - 2018/01
TI  - Research on Safety Risk Assessment of Construction of Large Formwork Based on Fuzzy Bayesian Network
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 73
EP  - 79
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.17
DO  - 10.2991/macmc-17.2018.17
ID  - Peng2018/01
ER  -