turbine2 {bnRep}R Documentation

turbine Bayesian Networks

Description

Potential use of Bayesian Networks for estimating relationship among rotational dynamics of floating offshore wind turbine tower in extreme environmental conditions.

Format

A Gaussian Bayesian network for the estimation of technical relationships among structural dynamic responses of the tower of a floating spar-type offshore wind turbine. Probabilities were given within the referenced paper. The vertices are:

PtfmPitch

Platform pitch tilt angular (rotational) displacement;

PtfmRoll

Platform roll tilt angular (rotational) displacement;

PtfmSurge

Platform horizontal surge (translational) displacement;

PtfmSway

Platform horizontal sway (translational) displacement;

TTDspFA

Tower-top/yaw bearing fore-aft (translational) deflection (relative to the undeflected position);

TTDspPtch

Tower-top/yaw bearing angular (rotational) pitch deflection (relative to the undeflected position);

TTDspRoll

Tower-top/yaw bearing angular (rotational) roll deflection (relative to the undeflected position);

TTDspSS

Tower-top/yaw bearing side-to-side (translation) deflection (relative to the undeflected position);

TwrBsFxt

Tower base fore-aft shear force;

TwrBsFyt

Tower base side-to-side shear force;

TwrBsMxt

Nonrotating tower-top/yaw bearing roll moment;

TwrBsMyt

Nonrotating tower-top/yaw bearing pitch moment;

YawBrFxp

Tower-top/yaw bearing fore-aft (nonrotating) shear force;

YawBrFyp

Tower-top/yaw bearing side-to-side (nonrotating) shear force;

YawBrMxp

Nonrotating tower-top/yaw bearing roll moment;

YawBrMyp

Nonrotating tower-top/yaw bearing pitch moment;

Value

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

References

Rostam-Alilou, A. A., Zhang, C., Salboukh, F., & Gunes, O. (2022). Potential use of Bayesian Networks for estimating relationship among rotational dynamics of floating offshore wind turbine tower in extreme environmental conditions. Ocean Engineering, 244, 110230.


[Package bnRep version 0.0.1 Index]