Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)

Seismic performance analysis based on Bayesian network

Authors
Hao Li, Lang Wu, Jian Tang, Xucong Liu
Corresponding Author
Hao Li
Available Online April 2017.
DOI
https://doi.org/10.2991/iceesd-17.2017.58How to use a DOI?
Keywords
Ductility demand;Bayesian network; Markov Chain Monte Carlo; posterior distribution
Abstract
Based on the regression analysis for 1918 seismic records, ductility demand probabilistic relationship with given earthquake intensity is formulated, and corresponding Bayesian network is established. With the given observation of earthquake intensity, the ductility demand posterior distribution is updated by using Markov Chain Monte Carlo method, thus the computation of the ductility demand is localized. Case study shows how the earthquake intensity parameters and the given observed values effect on the calculation result.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)
Part of series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-328-9
ISSN
2352-5401
DOI
https://doi.org/10.2991/iceesd-17.2017.58How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hao Li
AU  - Lang Wu
AU  - Jian Tang
AU  - Xucong Liu
PY  - 2017/04
DA  - 2017/04
TI  - Seismic performance analysis based on Bayesian network
BT  - 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-17.2017.58
DO  - https://doi.org/10.2991/iceesd-17.2017.58
ID  - Li2017/04
ER  -