Seismic performance analysis based on Bayesian network

DOI

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.

Copyright

© 2017, 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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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  - 10.2991/iceesd-17.2017.58
ID  - Li2017/04
ER  -