seismic {bnRep} | R Documentation |
seismic Bayesian Network
Description
Probabilistic seismic risk assessment of a reinforced concrete building considering hazard level and the resulting vulnerability using Bayesian Belief Network.
Format
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:
- ConstructionQuality
(Low, Medium, High);
- Distance
(Short, Medium, Long);
- Fragility
(Low, Medium, High);
- LiveLoad
(Low, Medium, High);
- Magnitude
(Low, Medium, High);
- SeismicHazard
(Low, Medium, High);
- SeismicRisk
(Low, Medium, High);
- ShakingIntensity
(Low, Medium, High);
- StrengthDegradation
(Low, Medium, High);
- Vulnerability
(Low, Medium, High);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
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.