To derive the overtopping rate, there are two way.
First approach is to formulate the overtopping rate
by the overtopping
volume
and wave period
.
Another approach is to formulate the overtopping rate
by
and
wave amplitude
.
First approach is reasonable to formulate the mean wave overtopping rate
and second one is good to formulate the maximum wave overtopping rate
.
In this section, we try to formulate the maximum overtopping rate
by using
and
.
It is assumed that the profile of the individual wave crest is assumed to be a sinusoidal wave locally as same as previous section.
Assuming a linear sinusoidal wave for velocity field, the maximum
overtopping rate
on the deck is occurred at the crest and it can be described by
up to
in Eq.(21)
and substituting Eq.(21) into (31) gives the maximum overtopping rate
as a function of wave crest amplitude
is enough smaller than 1,
Eq.(32) can be reduced into quadric function for
=0.1 and 0.3, respectively.
Therefore, this assumption is not cruel for linear regular waves for
small wave steepness.
This will be verified by the experimental data later.
The maximum overtopping rate
by Eq.(33) is
independent of wave steepness, because
by
,
|
=11cm
(a) Case 1.
=11cm
(b) Case 2. |
Before formulate the PDF of the maximum overtopping rate model,
it is necessary to check the assumptions used in the derivations again.
A local sinusoidal velocity field and small steepness were
assumed for relatively large amplitude waves.
To check these assumptions,
Fig.18 compares the measured relationship between
normalized wave crest amplitudes
and maximum overtopping
rate
with the approximated solution by Eq.(32)
and simplified solution by Eq.(33).
There is no significant difference between the approximated solution,
Eq.(32), and simplified solution, Eq.(32).
The both of the solutions give nice agreement with the measured data.
The correlation coefficients between the simplified solution,
Eq.(33), and the experimental results are
0.81 for Case 1 and 0.90 for Case 2, respectively.
This result is inconsistent with ugly relationship between
and
because the correlation coefficients between
and
are less than 0.3.
The main reason of this agreement is that the measured
is
estimated by
and
that gives one point data with vertically uniform profile assumption.
Thus, the assumptions of local sinusoidal velocity filed and small
steepness are valid for large amplitude waves with small steepness
and relatively high deck level condition.
Solving Eq.(34) for
, we have
distribution based on a modified form of the
Rayleigh wave amplitude distribution and is simply referred to as the
``modified Rayleigh overtopping rate distribution" hereafter for clarity.
loped a theoretical framework for the
| =11cm
|
| =11cm
|
|
=11cm
(a) Case 1.
=11cm
(b) Case 2. |
|
=11cm
(a) Case 1.
=11cm
(b) Case 2. |
Fig.19 shows the sensitivity of the exceedance
probability of the modified Weibull overtopping rate distribution on
for the case of
=1.0 and
=0.1.
With a change in
from
=1.5 to
=2,
the exceedance the derivations.
probability of decreases one order of magnitude
at
.
The
decrease is slower than overtopping volume
or
.
This is because the function in the exponential in
Eq.(37) is proportional to
,
although the exceedance probability of
is proportional to
.
Thus,
decreases slower than
and has different power law in
comparison with
and
.
Fig.20 shows
the sensitivity of the exceedance probability of
to
the deck level
for the case of
=2.0.
With a change of
from
=0 to
=2, the
exceedance probability seems almost constant.
The deck level doesn't effect significantly on the shape of the
exceedance probability of
than the value of
Fig.21 compares the PDF of the normalized maximum
wave overtopping rate
for the experimental results with the
modified Rayleigh overtopping rate distribution, Eq.(38),
and the modified Weibull overtopping rate distribution,
Eq.(36).
The modified Weibull overtopping rate distribution shows
qualitatively better agreement with the experimental data
than the modified Rayleigh overtopping rate distribution,
particularly for larger values of
.
Fig.22 compares the exceedance probability of maximum
wave overtopping rate for the experimental results with
the modified Rayleigh overtopping rate distribution,
Eq.(39),
and the modified Weibull overtopping rate distribution,
Eq.(37).
The modified Weibull overtopping rate distribution shows
fair agreement with the experimental data for whole range of
in Case 1,
However, both of the modified Weibull overtopping rate distribution and
the modified Rayleigh overtopping rate distribution
are underestimated for Case 2.
This is because both of the modified Weibull
exceedance probability for
and
are underestimated
in comparison with the experimental data.
The quantitative comparison with the theories and experimental
data will be required for large number of waves with different
conditions.
Nevertheless, the qualitative trends of
can be estimated by
Eq.(36) and (37).