master
pbrod 9 years ago
parent 6868165940
commit 30dfdfb497

@ -569,20 +569,24 @@ class Jonswap(ModelSpectrum):
return Gf * _gengamspec(wn, self.N, self.M)
def _parametric_ag(self):
self.method = 'parametric' # Original normalization
# NOTE: that Hm0**2/16 generally is not equal to intS(w)dw
# with this definition of Ag if sa or sb are changed from the
# default values
"""
Original normalization
NOTE: that Hm0**2/16 generally is not equal to intS(w)dw
with this definition of Ag if sa or sb are changed from the
default values
"""
self.method = 'parametric'
N = self.N
M = self.M
gammai = self.gamma
parametersOK = (3 <= N and N <= 50 or 2 <= M and M <= 9.5 and
1 <= gammai and gammai <= 20)
parameters_ok = (3 <= N <= 50 or 2 <= M <= 9.5 and 1 <= gammai <= 20)
f1NM = 4.1 * (N - 2 * M ** 0.28 + 5.3) ** (-1.45 * M ** 0.1 + 0.96)
f2NM = ((2.2 * M ** (-3.3) + 0.57) * N ** (-0.58 * M ** 0.37 + 0.53) -
1.04 * M ** (-1.9) + 0.94)
self.Ag = (1 + f1NM * log(gammai) ** f2NM) / gammai
if not parametersOK:
if not parameters_ok:
raise ValueError('Not knowing the normalization because N, ' +
'M or peakedness parameter is out of bounds!')
# elseif N == 5 && M == 4,

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