liquefaction: liquefaction Bayesian Network

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

liquefaction Bayesian Network

Description

A continuous Bayesian network regression model for estimating seismic liquefaction-induced settlement of the free-field ground.

Format

A Gaussian Bayesian network to predict seismic liquefaction-induced settlement. The Bayesian network is learned using the data available from the referenced paper. The vertices are:

Ds

GWT

lnamax

lnR

lnt

Mw

N160

S

Sigmav

Ts

Value

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

References

Hu, J., Xiong, B., Zhang, Z., & Wang, J. (2023). A continuous Bayesian network regression model for estimating seismic liquefaction-induced settlement of the free-field ground. Earthquake Engineering & Structural Dynamics, 52(11), 3216-3237.

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