Wave population¶

This function computes the wave population for fatigue analysis - Based on Rayleigh distribution if spectral width parameter (SW) is not

specified.

Based on Longuet-Higgins Hs-Tp joint probability distribution if SW is specified

Parameters¶

Hsstr

Name of the column containing significant wave height.

Tm02: str

Name of the column containing the mean wave period using spectral moments of order 0 and

Drr_optional: str

Optional column containing the direction

Tp_optional: str

Optional column containing the wave period

SW_optional: str

Optional column containing the spectral width parameter

args: dict

Dictionnary with the folowing keys:

Method: str: Name of the method to use, can be: Height only Height/Direction Height/Tp Height/period
direction binning: str: Can be centered or not-centered depending if the directionnal are centered over 0
direction interval: int: Dirctionnal interval for the bins in degrees
Heigh bin size: float: Interval in meter for Hs
Period bin size’: float: Interval in second for the period
Exposure (years) (= length of time series if not specified): int: Number of years use, length of time series if not specified
folder out: str: Path to save the output
directional switch: str: Can be On or Off to use direction

>>> df=tf['test1']['dataframe'].Statistics.wave_population(data=['hs','tp'],args={'Threshold':[2,15],Time blocking':'Yearly'})
>>> 