Probabilistic seismic risk assessment of a reinforced concrete building considering hazard level and the resulting vulnerability using Bayesian Belief Network.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network for the identification of the seismic risk associated with a particular building which can be utilised to guide stakeholders, policymakers and designers in the efficient planning of emergency response, rescue operations and recovery activities. The probabilities were given in the referenced paper. The vertices are:
(Low, Medium, High);
(Short, Medium, Long);
(Low, Medium, High);
(Low, Medium, High);
(Low, Medium, High);
(Low, Medium, High);
(Low, Medium, High);
(Low, Medium, High);
(Low, Medium, High);
(Low, Medium, High);
Roy, G., Sen, M. K., Singh, A., Dutta, S., & Choudhury, S. (2024). Probabilistic seismic risk assessment of a reinforced concrete building considering hazard level and the resulting vulnerability using Bayesian Belief Network. Asian Journal of Civil Engineering, 25(3), 2993-3009.