building {bnRep} | R Documentation |
building Bayesian Network
Description
Sensitivity analysis in Gaussian Bayesian networks using a symbolic-numerical technique.
Format
A Gaussian Bayesian network to assess the damage of reinforced concrete structures of buildings. Probabilities were given within the referenced paper. The vertices are:
- X1
Damage assessment;
- X2
Cracking state;
- X3
Cracking state in shear domain;
- X4
Steel corrosion;
- X5
Cracking state in flexure domain;
- X6
Shrinkage cracking;
- X7
Worst cracking in flexure domain;
- X8
Corrosion state;
- X9
Weakness of the beam;
- X10
Deflection of the beam;
- X11
Position of the worst shear crack;
- X12
Breadth of the worst shear crack;
- X13
Position of the worst flexure crack;
- X14
Breadth of the worst flexure crack;
- X15
Length of the worst flexure cracks;
- X16
Cover;
- X17
Structure age;
- X18
Humidity;
- X19
pH value in the air;
- X20
Content of chlorine in the air;
- X21
Number of shear cracks;
- X22
Number of flexure cracks;
- X23
Shrinkage;
- X24
Corrosion;
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Castillo, E., & Kjærulff, U. (2003). Sensitivity analysis in Gaussian Bayesian networks using a symbolic-numerical technique. Reliability Engineering & System Safety, 79(2), 139-148.