beam2 {bnRep} | R Documentation |
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.
[Package bnRep version 0.0.1 Index]