Nothing
#' seismic Bayesian Network
#'
#'
#' Probabilistic seismic risk assessment of a reinforced concrete building considering hazard level and the resulting vulnerability using Bayesian Belief Network.
#'
#' @usage NULL
#'
#' @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:
#' \describe{
#' \item{ConstructionQuality}{(Low, Medium, High);}
#' \item{Distance}{(Short, Medium, Long);}
#' \item{Fragility}{(Low, Medium, High);}
#' \item{LiveLoad}{(Low, Medium, High);}
#' \item{Magnitude}{(Low, Medium, High);}
#' \item{SeismicHazard}{(Low, Medium, High);}
#' \item{SeismicRisk}{(Low, Medium, High);}
#' \item{ShakingIntensity}{(Low, Medium, High);}
#' \item{StrengthDegradation}{(Low, Medium, High);}
#' \item{Vulnerability}{(Low, Medium, High);}
#' }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#' @keywords NULL
#' @importClassesFrom bnlearn bn.fit
#' @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.
"seismic"
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.