building

Sensitivity analysis in Gaussian Bayesian networks using a symbolic-numerical technique.

A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()' and is available online at <https://manueleleonelli.shinyapps.io/bnRep>. Reference: 'M. Leonelli' (2025) <doi:10.1016/j.neucom.2025.129502>.

Manuele Leonelli

bnRep

A Repository of Bayesian Networks from the Academic Literature

building function

A Gaussian Bayesian network to assess the damage of reinforced concrete structures of buildings. Probabilities were given within the referenced paper. The vertices are:<dl>
<dt>X1</dt>
<dd>Damage assessment;</dd><dt>X2</dt>
<dd>Cracking state;</dd><dt>X3</dt>
<dd>Cracking state in shear domain;</dd><dt>X4</dt>
<dd>Steel corrosion;</dd><dt>X5</dt>
<dd>Cracking state in flexure domain;</dd><dt>X6</dt>
<dd>Shrinkage cracking;</dd><dt>X7</dt>
<dd>Worst cracking in flexure domain;</dd><dt>X8</dt>
<dd>Corrosion state;</dd><dt>X9</dt>
<dd>Weakness of the beam;</dd><dt>X10</dt>
<dd>Deflection of the beam;</dd><dt>X11</dt>
<dd>Position of the worst shear crack;</dd><dt>X12</dt>
<dd>Breadth of the worst shear crack;</dd><dt>X13</dt>
<dd>Position of the worst flexure crack;</dd><dt>X14</dt>
<dd>Breadth of the worst flexure crack;</dd><dt>X15</dt>
<dd>Length of the worst flexure cracks;</dd><dt>X16</dt>
<dd>Cover;</dd><dt>X17</dt>
<dd>Structure age;</dd><dt>X18</dt>
<dd>Humidity;</dd><dt>X19</dt>
<dd>pH value in the air;</dd><dt>X20</dt>
<dd>Content of chlorine in the air;</dd><dt>X21</dt>
<dd>Number of shear cracks;</dd><dt>X22</dt>
<dd>Number of flexure cracks;</dd><dt>X23</dt>
<dd>Shrinkage;</dd><dt>X24</dt>
<dd>Corrosion;</dd>
</dl>

Format

building Bayesian Network — building

A Gaussian Bayesian network to assess the damage of reinforced concrete structures of buildings. Probabilities were given within the referenced paper. The vertices are:<dl>
<dt>X1</dt>
<dd>Damage assessment;</dd>

<dt>X2</dt>
<dd>Cracking state;</dd>

<dt>X3</dt>
<dd>Cracking state in shear domain;</dd>

<dt>X4</dt>
<dd>Steel corrosion;</dd>

<dt>X5</dt>
<dd>Cracking state in flexure domain;</dd>

<dt>X6</dt>
<dd>Shrinkage cracking;</dd>

<dt>X7</dt>
<dd>Worst cracking in flexure domain;</dd>

<dt>X8</dt>
<dd>Corrosion state;</dd>

<dt>X9</dt>
<dd>Weakness of the beam;</dd>

<dt>X10</dt>
<dd>Deflection of the beam;</dd>

<dt>X11</dt>
<dd>Position of the worst shear crack;</dd>

<dt>X12</dt>
<dd>Breadth of the worst shear crack;</dd>

<dt>X13</dt>
<dd>Position of the worst flexure crack;</dd>

<dt>X14</dt>
<dd>Breadth of the worst flexure crack;</dd>

<dt>X15</dt>
<dd>Length of the worst flexure cracks;</dd>

<dt>X16</dt>
<dd>Cover;</dd>

<dt>X17</dt>
<dd>Structure age;</dd>

<dt>X18</dt>
<dd>Humidity;</dd>

<dt>X19</dt>
<dd>pH value in the air;</dd>

<dt>X20</dt>
<dd>Content of chlorine in the air;</dd>

<dt>X21</dt>
<dd>Number of shear cracks;</dd>

<dt>X22</dt>
<dd>Number of flexure cracks;</dd>

<dt>X23</dt>
<dd>Shrinkage;</dd>

<dt>X24</dt>
<dd>Corrosion;</dd>


</dl>

building: building Bayesian Network

Description

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References