beam2: beams Bayesian Network

In bnRep: A Repository of Bayesian Networks from the Academic Literature

beams Bayesian Network

Description

Bayesian networks and their application to the reliability of FRP strengthened beams.

Format

A discrete Bayesian network assess the structural reliability of bridge systems (Figure 3). Probabilities were given within the referenced paper. The vertices are:

BeamWidth

(Low, High);

ConcreteStrength

(Low, High);

ProbabilityOfFailure

(Fail, Pass);

Reinforcement

(Low, High);

TempAndHumidity

(Low, High);

WaterCementRatio

(Low, High);

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Obaid, O., & Leblouba, M. (2022, March). Bayesian Networks and Their Application to the Reliability of FRP Strengthened Beams. In International Civil Engineering and Architecture Conference (pp. 277-284). Singapore: Springer Nature Singapore.

bnRep documentation built on April 12, 2025, 1:13 a.m.