DIVISION OF SHIP DESIGN
A METHOD TO DETERMINE
THE RESPONSE OF SHIPS
IN IRREGULAR WAVES
by
RUTGER BENN ET
Sponsored by the Swedish Technical Research Council Gothenburg, September, 19b6
The mathematical f oi-mula for average wave spectra proposed by
Pierson & Moskowitz is used as a basis for a simple practical method to determine the expected response of ships in any
desired sea state.
The spectrum is applied to regular wave response amplitude
operators, obtained either from model tests or from calcul-ations according to the strip theory. It is shown how general
dimensionless irregular response operators can be derived for a given hull form, which cover all possible combinations of
significant wave height and average apparent period. The
expected response in an arbitrary sea state can be directly determined from these functions, without the need for further
calculations.
An attempt is made to construct a table of six typical sea
states, with corresponding wave and wind conditions. It is
shown by numerical examples that good agreement may be ob-tained between the expected response determined with this
Page
IJÍTRODIJCTION
...
. . ....
1 WAVE STATISTICS ... 2THE WAVE SPECTRUM
...4
THE RESPONSE SPECTRUM 9
THE SPECTRUM RESPONSE OPERATOR 10
RESULTS OF SPECTRWI RESPONSE OPERATOR CALCULATIONS 11
SELECTING AVERAGE llAVE SPECTRA 12
ADAPTING SPECTRUM PARATERS TO
OBSERVED VALUES 14PRACTICAL APPLICATIONS 16
The statistical concept of treating both the irregular surface of the sea and the equally irregular variation of the response
of ships in such a sea as a normal stochastic process is now
universally adopted. A great proportion of the research, which
has led -to development 0±' practical methods for statistical
analysis of full scale data, has been within the structural
design field and based on stress measurements on ships at sea.
Relatively less full scale work has been devoted to ship
motions than to the bending stresses in the hull. However,
the same methods that have been found useful to evaluate design stresses can also be used for finding the probability of slam-ming a-t a certain speed, or the expected value of vertical acceleration due to the combined pitching and heaving motion.
The essential feature of -the mathematical model for treating irregular waves is that the wave surface is assumed to consist
of a great number of regular components superposed on one
another in random phase. If these components are Imown, certain statistical proper-ties of the resulting irregular surface can be determined. Most important from the naval
architect's point of view is that the statistical distribution
of -the resulting wave heights can be calculated. Inversely,
the amplitude and frequency of the components can be computed from a sample of the irregular surface, such as for instance
a record from a wave meter.
A great deal of the previous work on statistical prediction of
ship behavior in waves hi.s been aimed at finding extreme values of various responses, which are expected to occur with a
certain probability during the entire service life oÍ' the ship.
Several methods have been suggested for evaluating long term distributions of, for instance, longitudinal bending moment
/1, 2, 3, 4, 5, 6, 7/. In many cases, however, a more specific
knowledge is desired of the expected behavior of a ship in any sea state, and not necessarily the worst one. The long term distribution, including the largest expected value, must be the natural basis for design of the hull structure, and
there-fore of special interest for the classification societies,
while "average" values, both of stresses and of accelerations
operator for judging the service economy of the ship.
The most important responses, from the operator's point of view, are the vertical accelerations due to the longitudinal motions, and the relative motion between the bow and the water
surface. The violence of the motion and the frequency of
occurrence of slamming are the decisive factors for the speed that can be maintained in a rough sea, and a great deal of
research is at present going on, in order to find slamming
criteria in terms of maximum permitted values of relative motion and velocity /8, 9/. To make full use of weather routing, the speed that can be maintained in the conditions predicted for the voyage must be accurately Iaaown, in order to find a least-time track. One must then be able to determine
quickly the probability of slamming at various speeds in sea
states, defined by the predicted values of apparent period and significant wave height.
The oceanographic research on wave spectra is at present very
active. Two slightly different basic types of spectra have
recently been proposed, which are considered to agree with a great number of actually recorded spectra on the North Atlantic. SCOTT /10/ has suggested a modified Darbyshire-spectrum, which has been adopted by the British Towing Tank Panel, and
PIERSON-LIOSKOWITZ /ii/ have proposed a mathematical formulation, which
was recommended by the ISSC Committee 1, "Environmental
Conditions", 1964 /12/. In this paper the PIERSON-MOSKO\IITZ-ISSC spectrum has been used for calculations of general
irregular responso operators.
1[A1JE STATISTICS.
So much has been published during the last ten years about the statistical consequences of the wave spectrum concept, that
only a very short recapitulation of some essential facts should
be necessary here.
Mathematically, the definition of the energy spectrum can be arrived at along two different paths, both of course leading
to the same result. The wave surface can be treated as a
normal, stationary, stochastic process, and the spectrum
func-N
The parameter R is directly proportional to the spectrum area, with a factor of proportionality which is depending on whether single or double amplitudes are considered.
Strictly speaking, the Rayleigh distribution is only a special
case of a more general distribution, and it is only exactly
valid for a so called narrow spectrum. The exact expression
for a spectrum of arbitrary width has been treated by
CARTWRIGHT, but experience has shovo. that it iâ hardly ever
necessary to take spectrum width into account for practical
calculations.
However, the Rayleigh distribution can be considered a special case also from another point of view. The parameter R, which is the spectrum area, is only remaining constant as long as
wind conditions are constant, which usually only is the case
during short periods of time. During a voyage, or a year, or a ship's service life, a great many different wave spectra
2 X
R
tion. One can also start with the assumption, that the irregular waves are made up of a large number of harmonic components, superposed in random phase. It is then easy to show, by elementary analysis, that the ordinate of the result-ing function will be normally distributed with zero mean and variance equal to half the sum of the squared amplitud.es of all the components. The total area under the spectrum is equal
to the sum of the squared amplitudos of the components, which
consequently is twice the variance of the distribution of the irregular surface ordinates.
Por practical use one is not so much interested in the entire wave surface, but rather in the height of the wave crests over
the adjacent troughs. These points can loe seen as the envelope
of the surface, and their statistical distribution has been
shovm to follow the Rayleigh function:
f(x) = e
(and hence R-values) will be encountered. The parameter R can therefore itself be considered as a statistical variable with
a certain distribution. For this reason the Rayleigh distribu-tian has been called a "short term distribution", and a sum
of such distributions is called a "long term distribution".
For long tarin conditions good agreement has been obtained with the Weibull distribution, which has the following general
equation: k-1 f(x) kXak e k a N (3a)
]ior k = 2, the Rayleigh distribution is obtained as a special
case.
The exponent k can be considered as an "irregularity
para-meter". Â single regular wave is exactly represented by k = (see fig. i), as the amplitude is constant at all probability levels. The greatest degree of regularity normally found in a wave system corresponds to k = 2 (the Rayleigh distribution), but very likely somewhat larger values of k may be found. in a
swell, may be up to 3 or 3.5. During a long period with very varying wind conditions k will in general be less than 2.
(For the long term variation of the wave bending moment, k has bean estimated to between 1.0 and 1.25).
This interpretation of the exponent k in the Weibull
distribu-tion was originally suggested by ROOF in 1940.
TKB WAVE SPECTRUM.
For calculation of the behavior of a ship in a certain sea
state, a mathematical formulation of the wave spectriun is required in terms of some observable properties of the sea. When waves are observed, for instance from the weather ships,
they are usually defined by two quantities, an average ob-served height, and an average obob-served period. It is
gene-k (X
"a
rally believed that the observed height has a definite
re-lation to the root mean square height (which is the parameter
in the Rayleigh distribution and the square root of the
spectru.m area), and that the observed period is a function of the peak frequency of the spectrum, or of one of its moments.
The previously mentioned PIERSON-MOSKOWITZ-ISSC spectrum
con-tains two parameters, a height H1 and a period T1, which can
be considered -to represent the observed values. The form of the spectrum equation is such, that it is not necessary to
define the parameters until after the response spectrum is
calculated. The question of adapting the observed values of height and period to the corresponding parameters of the
spectrum is therefore deferred to a later chapter.
The spectrum has the following equation (fig. 2):
-BT
s(f) = A H T4 f5
ewhere s(f) = spectrum ordinate
f = frequency of component
T1 = a characteristic period in the spectrum H1 = a characteristic height of the resulting
irregular wave system
A and B = constants
In the form suggested by the ISSC Committee 1,
as the significant crest-to-trough height, and
was chosen so that the spectrum area was equal is correct from the point of view of' a strict definition of the energy spectrum. For practi it is much more convenient to let H equal the (which is also Darbyshire's definition), which by putting (4a) H1 is defined the constant A
to H/16, which
mathematicalcal use, however, spectrum area is accomplished
A=4B
(5)The numerical value of B depends on the definition of T1.
With A = 4 B the following general expression is obtained for
H2 m = B4 r (i -n and hence: = H (spectrum area) H2 ni1 = 1.2254 B1/4 T1 in2 = . 1.7725 B1/2 1114 = J
(That ni4 = means that the spectrum has infinite width, according to Cartwright's definition.)
According to the ISSC formulation
T1 =
and B = 1.2254k = 0.44
II' T1 is related to the second moment:
T1 = 1m0/m2
B = 1.7725_2 = 0.32
It is not necessary at this stage to take any definite posi-tien to the question of how the parameter T1 shall be related
to the visually observed average apparent period Tobs. For
all calculations in the present paper T1 has been defined as the first moment according to equation (a), and consequently
B = 0.44. As will be shown later, the relation between T1
and Tobs can be given any desired valuo after the final
response calculation is performed.
(6)
The wave spectrum can now be written as:
5(f)
-0.44(T1f4
2
= 1.76 T1(T1f)
H1
where H = area of spectrum
and T1 = m0/m1 = 1.09
Calculations of response spectra are generally based either on
model tests or on computed values in a series of regular waves.
The relative wave lengths are then a more natural parameter
than the wave frequencies. To avoid having to convert the amplitude operators to a frequency scalo, the wave spectrum
can be rewritten in terms of component wave lengths, X. For the harmonic components the theoretical relation naturally
holds:
g = 2 ri f2
(12)
One must, however, be very careful in using wave lengths in coimoction with irregular sea, because no wave lengths in the
usual senso actually exist. Only the imaginary components have a fixed length. By defining a characteristic "vave
length" as
7
---T
'1 - 2u 1
it is to be remembered that this is only a definition, and X1 cannot be visually estimated in the irregular system.
If the nondimcnsional relative frequency (T1f) is used for
abscissa, the spectrum is written:
s(T1f) - s(f)
d(Tf)
=1.76
(T1f)5
-0.44(T1f) e(4b)
(13)
(4c)
i
Since T1f
= V
T '
X
and d(T1f) = (_)
(1)2
done will have
X
X2
x
-d-
= 0.88 (-r--) 1111
It has previously been shown by LEWIS /13/ how responso
cal-culations are greatly simplified if both spectrum and
ampli-tude operator are expressed as functions of the logarithm of
the wave frequency. Mathematically it is insignificant if the wave length is substituted for the frequency, especially
if it is made relativo to the ship length, L. A wave with length L has frequency
- g
- V 2uL
and consequently x/L
=
The final form of the spectrum in terms of the component slope
can therefore be written:
s(log x/x1)/x2 A -0.44
=0.88e
(14) (4e)This spectrum is entirely non-dimensional and will express the
slope (ratio wave height/wave length) of the spectrum com-ponents as function of (log x/x1) = log 1/(T1f)2, It is once moro pointed out that X. ought to be considered as a period T1, according to equ. (13),
Gr1 =
p g L3 B
for bending moment,
G9 = 9 radians, for pitch angle,
Gz = for heave,
GA = for vertical acceleration,
G5 for relativo motion,
G = g.- for relative velocity.
This response factor as a function of (log X/L) is the ampli-tude operator to be used with the wave spectrum (4e). The area of the response spectrum will then be obtained through
the following operation:
While T1 will later be assumed to have a definite relation to an observed average period of thc wave system, X1 has no lmown
relation to any observed "average wave length".
THE RESPONSE SPECTRUM.
The response of a ship in a regular wave can in general be
expressed by the response factor
G
(15)
whore G = a non-dimensional response h = height of the regular wave X = length of the regular wave
Examples of G are
M
ç-iG(log X/L)
s(log x/x1)/x2 d(log x/x1) = jh/X
H/X
(1 6a)and the wave spectrum can be given the form
This operation is illustrated in fig. 3, right hand side of equation (16a)is the area of
curve(3'
in that figuro. iince the wave spectrum was constructed so that its areaequals H, G1 in (16will corresond to the
same fractile in the G-distribution as H.1 in the H-distribution. Both G and H are as usual assumed to follow the Rayleigh distribution. If, therefore, H1 is taken to represent the significant height, then G1 will be the significant response (= mean of the upper third), and if the root mean square height is used for H1, G1 will be the root mean square response.SPECTRUN RESPONSE OPERATOR.
Each calculation of G1 according to equation (16a) refers to given values of X1 and of L, and consequently to a given X1/L. As a result of the logarithmic scale, a change in this ratio
is effected through a simple shifting of the relative positions
of the wave spectrum and the amplitude operator. The distance in the logarithmic scale between the zero points of the two curves is always equal tc log X1/L. A series of response
spectrum areas can then be calculated for various values of
X1/L. The results plotted versus X1/L
= g T/2n L may be
called a ectrum response operator, fig. 4a. Prom this graph the response of geometrically similar ships of any desired
length can be found for wave conditions, characterized by any
desired values of H1 and T1.
If both the amplitude operator and the wave spectrum are expressed in terms of wave slope, the result of the spectrum calculation will also be in teims of H1/X1, which might be
called an "effective slope". It is, of course, not really a
wave slope, because the wave with height H1 can not he
expected to have the period T1 or the length X1. The
ampli-tude operator can equally well be expressed in terms of only
the wave height,
G L_ G
X2
s(log x/x1) X 2
-0.44(ç)
0.88 e
An operation similar to equation (16a) will then yield the result:
jG2clo X/L) s(logx/x1) G L2
h/L2
d(log X/X1)
=
The same result can of course also be achieved by multiplying
the right hand side 0±' equation (16a)by L/X1. The spectrum
response operator will then be obtained in the form shown in
fig. 4b.
The wave spectrum was defined so that T1 (or X1) corresponded to the first moment of the frequency spectrum. A different
definition of T1 will only mean a parallel shift along the
abscissa of the spectrum, and consequently also a simple parallel shift of the resulting spectrum response operator, as long as the logarithmic scale is used. If, therefore, the
average observed period in the wave system is assumed to he
Tobs = C
T1thon it will follow that
G1 G1
HIÌT
= (HlTh)T - Tob
1c obi
If, for instance, Tobs is considered to correspond to the second moment of the spectrum, then o
=
1b9 and a period of
1 .09 Tobs ought to be used as T1 to obtain the response
distribution in a certain spectrum.
RESULTS OP SPECTRUM RESPONSE OPERATOR CALCULATIONS.
A series of response spectra have been calculated for two
ships, a cargo liner with block coefficient 0.65, and a bulk
(16h) (18)
carrier with block 0.78.
The amplitude operators in regular
waves were obtained from strip theory calculations, published
in ref. /14/, where they also viere shovni to agree rather well
with model tests.
The spectrum operators arc given in fig.
5 - 12.
G1 L
The spec±nlm operator
H -is very similar to the regular
amplitude operator
and a direct comparison can ho
made between the response in o regular wave with height H and
length X, and in an irregular system with significant height
H1 and average apparent period T1
(or average "length" x1).
Some examples of such a comparison are shown in fig. 13 - 14.
It is evident from these curves that it is practically
im-possible to draw any conclusions regarding the seakeoping
abilities of a ship from tests in regular waves without any
consideration for the actual wave spectra.
Normal values of
T1 in those wave spectra that arc usually encountered at sea
are between 6 and 10 seconds, corresponding to X1 between 50
and 150 meters.
By far the most frequent value of Ti is 7
-- 8 sec. (75 -- 100
m).
The relation between the response in
regular waves with length approximately equal to ship length,
and the actual response in average conditions at sea, is
therefore dependent on the length of the ship in question,
and no general such relation can be determined.
It is also
different for different responses.
SELECTING AVERAGE WAVE SPECTRA.
The oceanographic research on wind waves has mostly been
directed towards finding good estimates of fully developed
spectra during various wind conditions.
The PIERSON-LIOSKOWITZspectrum, which is used in the present paper, is also primarily
intended to represent such fully developed seas.
Normally
such ideal conditions are very rare, because the wind is seldom
steady enough from the seme direction during sufficiently long
timo.
In the general case the wave system will consist of a
mixture of old and new systems superposed on one another, very
often with several different directions.
This may not affect
the shape of the spectrum as much as the area (which is
propor-tional to the significant hoight) and the frequency range.
The normal effect of the actual stato of development is that
the spectra have a larger area in the low-frequency rango at
low wind speeds, and a smaller area at high wind speeds than
is expected during fully developed conditions. The reason is
obviously that there is usually a swell left over from previous stronger winds, which will be more noticeable at light wind, while on the other hand strong winds will rarely blow long enough to build up the low-frequency part of the spectrum. The formulae which have been suggested, for instance in ref. /15/, for the relation between wind speed and
signi-ficant height therefore show a poor agreement with observ-ations, except at the most common wind speeds of about 20 knots. Below this speed actual waves are higher, and above this speed they are very much lower than predicted by the
formulae.
In order to estimate ship behavior in average conditions, such that a ship must be expected to encounter during any normal voyage, a reliable approximation of the shape, area, and
frequency range of average spectra is needed. One may assume
that the previously mentioned equation for the spectrum shape
still can be used, if only the area and average frequency are adjusted to agree with normal conditions.
The most extensive published statistics on wave observations in various parts of the oceans is found in the rcport of
Committee i to the ISSO in 1964 /12/. These observations are not related to wind speeds. By comparing the relative fre-quency of observed heights and periods with the corresponding figures in ROLL, ref. /16/, a tentativo table of six typical sea stats has been produced (Table I). The significant
heights and average apparent periods given in this table are considered to be close to the values, which may be expected
to occur during normal conditions Sea states II- III are encountered during practically every voyage, their combined probability is nearly 50 %. As will be shova later with numerical examples the wave bending moments and ship motions
predicted in these sea states agree well with full scale tests during similar conditions. State IV is rather common on the
North Atlantic during winter, but is very rare in most other
sea areas. State V and VI are extreme conditions, that are encountered only exceptionally, and then only for a few hours.
will, when it is used, have the effect that these sea states may never be met at all. However, it is recognized that
ships must be designed to be able to withstand them.
KDAPTING- THE SPECTRUM PARAJ1ETERS H1 AI'T]) T1 TO OBSERV]flJ VALUES. The significant height and the average apparent period given
in Table I are observed values. The observed height has gene-rally been assumed to be the mean of the largest third of all
heights, usually denoted H1113. Various investigations have found different relations between H1113 and
H,
the visual height. NORDENSTRÖM at the Norske Ventas has suggested that Hv is smaller than H1113 when the height is less than 8 m, andgreater when it is more than 8 m. In another case a comparison with a limited number of recorded spectra indicated that Hv might be more close to the root mean square height, which is
0.71
. H1113,As
wave heights above 8 n are rarely reportedand belong to the extreme part of the distribution, Hv can in general be considered to be somewhat smaller than H1,,,3, say about 85 %, at least for deteinining values of relatively great frequency of occurrence, which is the chief purpose in
this paper. Por the determination of long-term distributions a much more detailed investigation is needed of the true
probability of
H.
As a reasonable maximum in a short-tern distribution the
greatest expected value out of 10,000 is often used. Another common value is the mean of the greatest 10 %. All such
values are directly proportional to the root mean square and
to the mean of the upper third. With the approximate relation
between
H1,3
and H that was mentioned earlier, and assuming an average number of 500 - 600 waves per hour, Table II. isproposed as a rather rough but fairly reliable estimate of
wave heights.
The result of the spectrum response calculation is obtained
as the ratio between the response amplitude and the wave
height, which have the same probability according to the
Rayleigh distribution. The response expected to be exceeded
GL H
G-Q H1
L
The response having the expected frequencies of Table II is consequently directly obtained by multiplying the spectrum operator by the wave heights in that table. The operator must then be taken at the appropriate value of T1.
Many investigations of recorded wave spectra have indicated that the average observed apparent period is somewhat smaller
than the period T1 that corresponds to the first moment of the frequency spectrum. The second moment has generally been
assumed to give a better agreement, which for the mathematical model used here means that T = 0.92 T1, (see equ. (7)). If a fully integrated calculation is performed in order to produce a complete long term distribution, this question becomes im-portant. For determining the approximate order of maaitude of average responses in the most frequently occurring sea
states, a difference of 10 % in T1 has only a small influence on the result. The inaccuracy in the estimation of T is
certainly much greater than 10 , and it has therefore not
been considered necessary to depart from the recommendation
of the ISSC Committee 1, which was to take T = T1. In the
chapter on numerical examples it is shoi how to estimate the
range of response, caused by a possible error in the average apparent period. If nothing else is stated, calculations aro made on the assumption that T = T1 = m0/m1.
PRACTICAL APPLICATIONS.
The response of a ship in a given wave spectrum is very much
dependent on the length. If the irregular response operators are plotted versus ship length L, as in fig. 15 - 17, it is evident that the maximum response per unit wave height occurs at different values of T1 for different values of L. Por the important responses the following relationship generally holds approximately:
(T1)
= Vo.5 L
(22)where (T1
max = T1 in the spectrum causing maximum
response per wave height,
L = ship length in metres.
The most frequent value of T1 in average weather conditions is 7 - 8 seconds, which means that ships up to about 130 m spend a comparatively greater part of their time in unfavorable sea
conditions than the longer ships.
The bending moment coefficient for the 0.65 block coeff. ship has been calculated in the sea states of Table I and plotted
with length as parameter in fig. 18. The moments are given
as percent of the value in a spectrum with H1,,,3 = 10 m and T1 = 10 s, which is assumed to be close to the greatest moment ever expected to occur. One can see here that ships up to
120 m get 50 % of their maximum already in 4.5 m signif. height
while i-t takes 6 . for a 225 m ship to get such a high value.
The moment coefficient can be written in terms of stress and
section modulus:
z
a
p g L3 B = p g L
In the rules of the classification societies the section
modulus has been calculated from formulae o± the type:
M
(23)
where has varied between 0.5 and 0.3, which is the value now used by L.R. and D.N.V.
Equations (23) and (24) give an expression for the expected
wave stress in ships built to these rules:
iur
a.
- (gL3
BL1 (25)
In fig. 19 this stress is shown as percent of the stress in a 120 m ship.
It can thus be shown that the method of determining the scantlings of the midship section in itself leads to very different stresses in ships of different length. The gradual decrease of the factor in equ. (24) has been a step in the right direction, but it has not been enough to give equal relative strength to all ships. This would mean an entirely
new approach to the influence of length in the design formula.
It is interesting to compare fig. 19 with the fracture statistics published by Murray in ref. /17/. It is shown
there that ships of about 120 m in length have had a greater number of cracks per ship year than longer ships, especially
those built during the period when section modulus was
pro-portional to L25.
Corn arison with full scale results.
M/S Canada.
The sea states in Table I have been used for a comparison with
results of full scale measurements of wave bending stresses, previously published in ref. /18/. The range of calculated
values shown in fig. 20 arc obtained from the range of
signi-ficant height and average apparent period given in the table.
In the sea states corresponding to Beaufort 4 - 7 the agreement is quite good. These conditions are very common, and expected to he encountered on the North Atlantic about 45 % of the time0 In 2 - 3 Bft measured values arc usually greater than expected,
probably because there is a great deal of swell present which
assuming a T1 of 7 - 8 sec. even at this low wind speed. In
more severe weather, above 8 B±'t, measured values fall below
theory. Generally very few tests are carried out in such weather, but the tendency is clear, and it also agrees with
other similar investigations. It is probable that this is a result of several factors, the most important perhaps being a wider spreading of the energy in severe spectra, and that
ships are rarely heading directly into the waves in such con-ditions but rather handled in a way to ease the wave loads. It is also possible that the normal efforts of most captains
to avoid excessive weather conditions (quite apart from any systematic weather routing) will have the effect, that only the milder forms of the sea states 7 - 9 are in fact normally
encountered.
Regarding the fairly good agreement in the most frequent sea
conditions, it is to be remembered that no reduction has been
made for energy spreading or different course angles to the
dominant wave direction. The average combined effect of these factors is estimated to between 20 and 30 %.
M/S Jordaens and. M/S Mineral Serain.
Professor Aertssen has made very extensive sea trials on two ships, /19/. The instmmentation included a shipborne wave recorder, and both bending moment and wave spectra were computed. A response amplitude operator could then be cal-culated and applied to a very severe spectrum which had been
recorded at another occasion, thus extrapolating the measured
values to those severe conditions. The two wave spectra had
the following characteristics:
111/3 9.0 m, 10.5 sec., (corresponding T1 = 11.5 sec) 111/3 = 16.7 m, = 14.0 sec., (corresponding T1 = 15.25 sec).
(The periods 10.5 and 14 sec. are assumed to be the theoretical
average apparent periods, i.e. the second moment of the
frequency spectrum. As T1 is defined as the first moment of the spectrum, the correction factor 0.92_1 = 1.09 has been
JORDAENS. Fig. 6 is calculated for a ship with a hull form
very similar to the JORDAENS.
2
g T1
Sea state A: = 1.4 for T1 = 11.5 and L = 146 in.
2TrL ¡
M,
Corresponding
2 - 11.5 10 (from fig. 6)
pgL BH1/3
Ship dimensions: p g L2 B = 4.4 1O ton
M.1/3 = 11.5 10 4.4 10 9.0 = 45 500 tm
for H1/3 = 9.0 in.
45 500
16 200 tin - 2.83
-According to the Rayleigh distribution, the following
peak-to-peak bending moments are expected:
The maximum recorded B.M. in this sea state was 72 300 tin.
g Sea state B: M1/3 = 8.0 . p g L2 B 111/3 M1/3 = 58 500 tin \/ = 20 800 tm 2îrL = 2.52 Maximum of 100 = 4.35 \/ = 70 500 tin t' t' 1 10 300 000 000 = = = 4.80 5.25 6.06
\/T
= V'È = \/ = 77 600 -tin 85 000 -tin 98 000 tmMaximum of loo =
90 500 tin
U
300 = 100 000 tin
"
1 000 = 109
000 tin10 000 = 126 000 tin
From the spectrum extrapolation 107 000 tin was predicted as the expected maximum of 10 000.
MINERAL SEBAING-. This ore carrier has a hull form similar to the ship in fig. 10. Using the same procedure as for the
JORDAENS, the following prediction is made:
2 g T1 Sea state A:
- - 0.94
2 TIL M1/3 2 =15.5
10 (from fig. 10)pgL BH1/3
p g L2 B = 15.6 10 ton M11,13 = 217 000 tin\/TT=
77 000 tin Maximum of 100 = 335 000 tin 300 = 370 000 tm i 000 = 405 000 tm 10 000 = 467 000 tinThe maximum recorded B,M. in this sea state was 341 000 tin.
2 g T1 Sea state B: = 1.66 2 uL M1/3 = 13.0 p g L2 B
M1/3 = 338 000 tm
/= 120 000 tm
Maximum of loo = 520 000 tin 300 = 575 000 tin
1 000 = 630 000 tm
t! 10 000 725 000 tin
From the spectrum extrapolation 532 000 tin was predicted as the expected maximum of 10 000.
Calculation of expected_behavior of a 140 in bulk carrier in an average rough oea.
A wave system with significant height in and average apparent
period about 8 sec. seems to be a fair estimate of conditions
that are typical on the North Atlantic. Such waves may occur
in anything between 5 and 7 Beaufort, and must be expected on
almost every voyage, at least during the winter period. They correspond to Sea State Group III in Table I, but are just within the possible range of Group II.
Spectrum operators for a typical 14 000 tdw bulk carrier may
be determined from fig. 9 - 12. A ship is chosen with the
following main dimensions:
= 140 m B
=19.5m
d =8.8m
CB = 0.78 2 g T1= 0.71 for T1 = 8 s, and L = 140 in. 2 nL
The response is sought for a speed of 14.5 knots, which is a
Froude number F = 0.21.
From fig. 9 - 12 the following response operators are obtained, after having inserted the appropriate ship dimensions:
These operators shall be multiplied by significant height to
give significant double amplitude of response. Significant single amplitudes will then be:
Using the multipliers in Table II, the average expected maxima
during various time intervals can be determined:
Bend. stress amidsh. kg/nm2 2.1 2.5 2.8 3.5
x) Assuming a section modulus Z = 6.4 rn3.
Tith a draft forward of more than 8 ni, there seems to be no risk of the stem leaving the water, and slamming should be no problem in these waves at a speed of 14.5 imots. As the
motions are very little affected by the draft, one may draw the conclusion that 5 m is the minimum ballast draft forward
Average maximum every
minute 10 min 30 min 20 hours
Vert. acc. at F.P., g 0.26 0.32 0.35 0.44
Rel. motion at F..P., rn 4.3 5.2 5.7 7.3
Rel. velocity at F.P., rn/s 3.9 4.7 5.2 6.6
Bend. mom. amidah., t ni 13 500 16 250 18 000 22 700 Vertical acceleration: A1,3 = 0.205 g
Relative motion: 1/3 = 3.38 rn Relative velocity: S.1/3 = 3.06 rn/s Bending moment: 1.11/3 10550 t Vertical acceleration at P.P.: Relative motion at P.P.: Relative velocity at P.P.:
Bending moment amidships:
-= = 0.138
225
ni 2.04 -7040that can be periitted if this speed is desired to be main-tained. With a draft less than 5 na, stem emergence may be so
frequent, that the resulting slamming will make a speed
reduction necessary. The probability of slamming, or the
expected numbers of slam per unit time can be calculated from these values of relative motion and relative velocity, using
REFERENCES.
/i/ Bennet, Ivarson & Nordenström: Results from full scale
measurements and predictions of wave bending moments
acting on ships. Rep. No. 32 of the Swedish Ship-ouilding Research Foundation, 1962.
/2/ Ivarson, A.: Ore carrier model tests. Rep. No. 35 of the Swedish Shipb. Ros. Pound., 1963.
/3/ Nordenström, N.: On estimation of long-term
distri-butions of wave induced midship bending moments in ships. Chalmers University of Technology, 1963.
/4/ Nordenström, N.: Statistics and wave loads. Chalmers
Univ. of Teclin., 1964.
/5/ Yuille, I.M.: Longitudinal strength of ships. Trans.
R.I.N.A. 1963.
/6/ Masuda, Y.: Statistical amidship bending moment for
ships. Journ. of Zosen Kiokai. Vol. 111 (1962), June.
/7/ ISSC 1964. Report of Committee 2b-II.
/a/ Ochi, M.K.: Prediction of occurrence and severity of
ship slamming at sea. 5th Symposium on Naval Hydro-dynamics, Bergen, 1964.
/9/ Ochi, M.K.: ]Ixtreme behavior of a ship in rough seas.
SNATì 1964.
/io/ Scott, J.R.: A sea spectrum for model tests and
long-term ship prediction. Journ. of Ship Research Vol. 9
(1965):3 p. 145.
/11/ Pierson, W.J. & Moskowitz, L.: A proposed spectral form for fully developed wind seas based on the similarity
theory of S.A. Kitaigorodskii. N.Y. Univ., Department
of Meteorology and Oceanography, Geophysical Sciences
Lab. Rep. 63 - 12.
/12/ ISSC 1964. Report of Committee 1.
/13/ Lewis, E.V. & Bonnet, R.: Lecture notes on ship motions in irregular seas. Webb Inst. of Naval Arch., 1963.
/14/ Ivarson, A. & Thomsson, O.: Comparison between model
tests and calculated values of ship behavior in regular
waves (in Swedish). Chalmers Univ. of Tochn., 1965.
/15/ Moskowitz, L.: Estimates of the power spectra for fully
developed seas for wind speeds of 20 to 40 knots. N.Y.
Univ., Department of Meteorology and Oceanography, Geophysical Sciences Lab. Rep. 63 - 11.
/16/ Roll, H.U.: Height, length, and steepness of sea waves
in the North Atlantic. SNA Techn. and Research Bull. 1 - 19, 1958,
/17/ Murray, J.M.: Development of' basis of longitudinal strength standards for merchant ships. R.I.N.A.,
May 1966.
/18/ Bonnet, R.: Stress and motion measurements on ships at
sea. European Shipbuilding 1959, Nos.
5 & 6.
/19/
Aortssen, G.: Service-performance and soakeeping trials on M.V. JOPDAENS. R.I.N.A., LIay1966.
Sea state Approxiriate wind Significant height Apparent period Expected frequency Group Number Speed
Imots Beaufort Range m Average m Range Average 2 slight sea
4 - 10
2 - 3
0.75 -
1.5 0.75 5 - 8 620 %
II
slight-3-4
moderate 11 - 214 - 5
1.0 - 3.0
2.0 6 - 76.5
31 %
5-6
rough22 - 33
6- 7
2.5 -4.5
3.5
7 -
97.5
14 %
IV
very rough734-47 8-9
4.0-6.5
5.0
7-9
83.5%
V 8 Extremely rough48 - 55
106.0 - 8.5
7.5
8 - 10
90.5 %
VI
niountainous9 > 5611 - 12
> 8
109 -
12 100.05 %
TABLE II. Average highest waves.
Mean highest every minute .. . . . 1.28 H1/3
1.50
One wave every ten minutes higher than -..
1.54
H11,,3 1.75 J:IH 11 thirty minutes higher than ..
. . 1.70 H11i3 2.00 H
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