Seismic performance analysis based on Bayesian network
Hao Li, Lang Wu, Jian Tang, Xucong Liu
Available Online April 2017.
- https://doi.org/10.2991/iceesd-17.2017.58How to use a DOI?
- Ductility demand;Bayesian network; Markov Chain Monte Carlo; posterior distribution
- 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.
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 - Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017) PB - Atlantis Press SP - 303 EP - 308 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 -