SAFETY FOR DAMAGED
VESSELS AS PROBABILITY
OF NON-CAPSIZING IN
FOLLOWING SEAS
Accident reccxds refer many causes leading to possible capsizing and among them the dangerous
condition when a ship sailing in a longitudinal seaway is subject to the action of damage floodwater.
Nowadays there are neither international statutccy regulations ncr' reliable guidelines to facilitate the
selection of data f- modelling flooding scenarios and
to evaluate the level of risk resulting from damage.
So far, flooding mechanism simulated in available
damage stabllity computer píogams is essentially
based on a static approach and searches fcr static
equiliium both at intermediate and at final stages of
flooding. Such a physical modelling is only a rou approximation of the real phenomenon since it is
sufficient to consider the intrinsic phase lag between
restcxing fc*ces and oscillations to remind that a damaged ship, also in calm water condition, cannot be
considered in instantaneous hy&ostatic equiliium. It has been verified that the static approaches usually
applied to assess damage stabllity [16,181, induding
the 1MO probabllistic one, cannot explain the most p&t
of capsizing accidents.
Damaged ship suvivablity is a very difficult ta'get
to reach also because of the unsuffident knowledge
Giorgio Trincas ()
ABSTRACT
() lnstttute of Naval Architecture,Unlversltyof Trieste, vi Yalerto tO, 31127 TSIESTE, Ithty
637
-TECHpJJsCIg
UNIVERSffET
.aboratorium voor
$cheepshyd orne hanica
Archlef
Mekeiweg Z 2628 CD
D&ft1e O1Ö. 7887
- Faxa O18-181e3Analysis of damage stality di.ring intermediate stages of flooding ¡s a very imp«tant item to fcresee dangerous situations which may indice ship capsizing. The damage scenario is simulated through a simpüfied deterministic model which reflects the dynamics of the ship. A time-domain simulation fct- computing ship motions coupled with sioshing effects ¡n damaged compartments is developed to monitci the histcy of ansient flooding. Variations of static and hy&odynamic characteristics of the ship and f1oodiater as well are taken into account at each
small step in time.
To determine the non-capsizing probability duing the flooding elapsed time of
a ro-ro passenger ferry, initially at rest in a followingsea, the Bayes' fccmula fcc the entre probability is
applied by computing the probability distribution of a wave goup excitation and the conditional
probability of the dangerous event.
MODELLING OF FLOODING IN A SEAWAY
of the
dynamics and hyd-odynamics of floodingphenomenon. The effect of floodwater on the transient
response of
the ship has not been
investigatedextensively up to now. Flooding transients can play a &amatic role in damaged stability since it is sufficient
one excessive excu-sion to have the system faiftre.
Mcceover, su-vivaI capability ¡n the event of damage
should not be assessed through p&re deterministic
approach, but from the statistics of the shipresponses obtained from
a time
simulation of fully coupledequations of motion. The necessity of introducing statistics derives from the randomness and uncertainty
of meaningful ship parameters depending also n,
operative conditions (centre of g-avity, freeboard), of
extent and position of damage, of three-dimensional permeability distribution, of sea state,
of floo<ater
dynamics, and of initial kinematic conditions.Because of the complex and stochastic natue of a damage scenario, in the benning we prefer to model
the phenomenon by
means of a
simulatíon thatdesc-ibes flooding merely ttrough fluid mechanisms
based on fcronomia methods accccdng to Bernoulli's
the<xy of flow [12] and is indusive of the effects of sioshing in the damaged compalments. The flooding evolution is descibed if-i-ough a series of small time steps. The hyd-aulics of the mechanism operates ¡n
ui
we rcy
u uiø Ui SdLIC cdcualO(ìS Kl intermediate stages of flooding, but without searching lcr eqilibiium positions. At each point of timehy&ostatic and hy&odynamic chac1eristics of the instantaneous wetted strface of the ship are computed
ori the g'ound of the values of volume, heel, and im at previous time step. Such a mechanism easily permits to continuously monitor the inemental
variation in ship motions during the course of flooding.
The study presented here is pail of a research
prog-amme on dama e stability desianed to be
developed in prog-essive stages, the final goal being both the improvement of existing rules lcr capsizing prevention and the development of guidelines that can help the desicner to limit the risk of exceeding some roll ane considered dangerous for survivability. The
time-domain flooding simulation could be a useful tool for different design purposes. lt should be used to
determine the ship behaviour at each damage case in combination with a probabilistic assessment of the various eventual cases of accident, to predict the
probable time until the vessel sinks or until a heel angle is reached at which the lifesaving gear is useless. lt could be of use not only to assess the safety implications of watertight door closure, but also to determine the optimum subdivision scheme for a given
level of safety. Finally, also the operative and safety
procedures could be previewed by time-based
calculations lcr realistic conditions.
MATHEMATICAL MODEL
In order to investigate how the motions of a
damaged ship, particularly roll, build up and which ship p&ametei-s are the most important, a general formulation of the ship motion problem in the time-domain is considered to be representative of the physical event. t has to indude theories of
seakeeping, computational fluid dynamics to take into account floodwater effects, and methods of random phenomena in a seaway. Damage flooding is a typical ansient phenomenon so that it can be considered as
an initiak'alue problem. At initial time the ship in upright position is assumed at rest and subject to the disturbance of a regular wave whose profile along the free sirface simulates a stochastic longitudinal sea. The improvement of stich a mathematical model is
deemed as preliminary to necessary experimental
studies on models because numerical simulations
638
-aiiow
i'ge
satstics and preiminary
concfuonsabout capsizing phenomenon that should be tuned in
a future experimental study.
ConU'arily to other time domain approaches [18, 19].
our dynamic model does not envisage time evolution
as a seçience of states of hyd-ostatic equilibl-ium. In a
frst study by Francescutto and Trincas 17], a linear
mechanical model was assumed to desoribe the
motions in heave, roll and pltch. The mass of the ship
was considered slowly varying in time under the
added weight of floodwater. The equations of motion
were considered only implicitly couple-c though
hydostatic terms. The results were not promising
enough because nonlinear terms of mechanical origin representing coupling were not introduced. Moreover, hyäostatic forces and moments were computedon the
gound of a simplifying approach considering super-position of independent effects.
ln the light of these considerations, a time-based
simulation of damage flooding has been developed
where all the time-varying restoring ¡excitation forces and moments, the ship hy&odynamic coefficients and floodwater forces are computed with reference to the
instantaneous hull, regardless of ship equilibiium
being. The ship is assumed to be a
six-deg-ee-of-freedom rigid body system in unbounded rionviscid
fluid. As pure loss of stability in longitudinal seas is one of the most frequent modes of capsizing, priority has been given to the mathematical model desa'ibing
the dynamics of a side damaged ship at rest in following waves.
Two sets of right handed coordinate systems are
used to desa'ibe the motions of the ship (Fig. 1). The frst is an inertial frame 00x0y0z0 with the origin fixed
on the undisturbed surface, where the x0-y0 plane corresponds to the calm water level. The positive
directions of the x0. Yo z0
axes are fward, to
starboard and downward respectively. The next is a body-fixed reference system Oxyz with its reference
point at the centre of g-avity of the ship. As large
motions are forecastable and every rotation is wanted to be independent of the other angles, the so-called Euledan angles - , O, ¡n that soq.ience - are
introduced to define the rotation of one system relative
to the other.
Although the simulation results do not depend on the choice of the coordinate system, in a time-domain simulation it is suitable to perform hy&ostatic and
hydi-odynamic calculations in the ship-fixed system of
'ie1odty and position the ship as-ts at each pnt of
time. Kinematics vesthe ret'_'vship between
a splacement vedc x defined in ship-fixed systemand the displacement vecicx
x,
esaibed in
the inertial systemx [TIx0
where [TI is the 3x3 ansfamath.c aU-ix
cosy cose coscsinesin -
cossin8cos +
sin cosQ sinç.sin
[T] - snícosG
sinsin6sin
cos1.co$o
[
-sine cosOsinòNotice that the ans1aton
coc*dinate systems
s not cOfl«ed because
the ship is assumed at zero speed Then, f the vectc(sV(u,v,w) and (p,q,r) rep-esent t'e Lnear and angular velocities in the instantaneous '-fixed system, the ansfcmations between the inertiti nnd ship axes are
givep by
Y(u,v,w) = [TI
The f cced motions r (i - 1, 2 6) desa-ibed in the
instantaneous ship-fixed reference system are ven respectively by the follong set of linearized
second-order diflerential equations based on Newton's law of
dynamics: m (ü + qw - rv) - X
m (" + ru - pw) - y
m (+ pv - qu) - z
+- fy)qr - K
+ (I- l)rp - M
U+ (1w- l))pq
Nwhere m s the ship mass, and I,,
, l e thep-inc.ipal moments of inertia independent of the
motions. The right hand sides of the equations
rep-esent the components of the excitation force and
moment in X, y, z directions ard around them,
respectively. They depend On the time history of the
ship motion.
639
The set of differential equations can be written as a system of 12 coupled frst-ordec diflerential equations. They are solved by means of a Runge-Kutta-Merson
integatìon scheme where time intervals of diuferent inteqation step may be selected. Thus, small steps are used in ansients of relatively high frequency
response and large steps beyond these ansients.
The advantage of such a mathematical model comes from the fact that il allows all the external forces to be compi.rted separately in terms of the combination
of the ship condition and the sea state. The total
external force in whichever mode of motion is the linear superposition of various conibutors. In this
study the following set of forces (and moments) has been taken into account:
weight and hy&ostatic forces of the intact ship hydodynamic forces p-opertional to the velocity and
acceleration of the ship
excitation forces caused by the incident wave and
diffraction effects
- static forces of floodwater
sioshing
forces due to
the interaction betweenfloodwater and ship motions.
As the hydodynamic forces a-e expensive to compute at each frequency of oscillation, the
frequency domain coefficients can be calculated
off-line and stored fcc fute interpolations, so giving the
momentary forces at each time step. Two subsequent
20 interpolations by splines are used, the
fist
innodulus- and phase-frequency spaces, and the second fcc each ansverse section in daft space.
The ship exciting fluid actions are diven by the
natixal roll frequency As hy&odynamic coefficients
are frequency dependent owing to memory effect and
since c cannot be the frequency in
upight ship
position, it is assumed to be the one depending on tf-c' time-varying arm GZ iii]
o, t) -
2g t) dwhere is the roll amplitude at p-evious step and is the Ûansverse gadíus.
The wave exciting forces and moments, and the hydodynamic coefficients as well are computed by means of a seakeeping p-ogam based on the
two-dimensional linear potential theory inclusive of the Frank close-fit-method [171. The nonlinear damping effects in roll are computed according to lkeda's
method [io]. App-opiate kinematic relationships are
(p,q.r) = [S]
-sin8 O
i
[SI = cose sin cos O
cosO cost -n
O_sin.sin O cos
cossin
cosG.co$
used to ansfer the fluid actions from the water plane
to the cene of rotation of the ship [3]. The stip-they e<.iatíons of moon are decoupled into one set fc the
lontucinal motions and a second set desa-ibing the
lateral motions. Since the shape cf the huH
'ansverse
sections can be hìly asymmeic in the pesence of large motions, this
decoupling could be incc*-rect
Nevertheless, st1ing
from the fact
that thelow-freq.iency folloMng sea motions are dominated by the
hy&odynamic coupling given in limman-Newman relationship [20), some fundamental effect Fke the
complete coupling of sngfe modes of motions
and the
exact evaluation of the hy&odynamic coefficients can be diegarded. Mcíeover, when the
instantaneous
position of the ship notably differs from is mean
position, motions will be largely determined by the
qjasì-static fcrces and moments due to the waves.
Thus, it results of paramount imp1ance to calculate
them exactly by considering the
time-dependent
underwater geomey relative to the wave pofile. The wave disturbance has to be referred to the ship-fixed cocxdinate system taking into account the relative motions between the at-rest water surface and
the aacent ship surface
(x,t) = 0s [k (x
+ -f
- oit]
6efae develop4ng mxe complicate and exact models, only the effect of static-static coupling
has
been inodi.iced by
considering the second order derivatives of heave force, roll moment, and pitchmoment for heave-roll, roJl-pdch, and pitch-heave
couping [4]. In reality, a pseudo-coupling íninsically exists because of the mutual
influence between vertical and lateral motions dije to the variation of
hull geomey.
The exduing forces include also the forces
exerted
on the ship by the floodwater which are nonlinearly
dependent on the ship motions. This is
a hiher
reason to model damaged shipmoons by a
time-domain simulation. In order to derive the
forces and moments acting on the damaged compartment lt is necessary to compute the displacement, velodty and
acceleration components at fls reference point through
a transformation p-ocedtre considering the vecicdal
distance from the ship centre of rotation. The fluid actions due to flooater motion ere then transferred
to the ship centre of gavity by means of
an inverse
transformation and usedto solve the motion
equations at the next timestep in the simulation pocedure
640
COUPLING BETWEEN SLOSHING AND SHIP MOTIONS
Eamage fioong is a case of
ack long where
shic2 motion is affected bythe floodwater n-ction. The cLCem of determining the
dynanc effects due to the
fk-water movement under ship osdllations remains
one- of the actual çxoblems of
seakeeping studies. The
mamtude of
sloshing forces andmoments is
cosderably affected by the
compartment geometry anC baffles, the quantlty of moving floodwater,and the
amoí1ude and frequency of lts motion.
Ali of them
mair'1Y depend on the fill level.
Ti-eorY and experiments show that
oqessive
fboo-Ç of
a ship's compartmentpartially filled
berefl 10 and 90 percent of
ils depth can causea
resc<flt motion
of floodwater which .-ay matchresor'ant ship motions. The relation for the lowest
resc,aflt liquid period in rollversus tank filling level for
recgular tanks,
that correlateswell enough with
expe mental results [2], is givenas
2rt
-(ng/b) -tanh (nh/b) wher h is the liquid filling heicht and b is the
hreadth
of the 'ompartment.
Th excitation periods of
ship motions have to be
comp'ed with the
resonant &oshing periodsof the damajd compartments. When periods overlap
or the
forsir period is about the natu-al period of flocótater,
maxirr,.im amplitudes of these motions will result in maxirrr,im slosl-iing forces as a result of ampificated couplir< between heave and roll motions 1141. When
the lcì"ing period is away
from either thenatural
perfod 'f roll or of pitch, there is
very lfttle liquid -otion
th sloshing loads do noi
need nonlinear
matherraiiC2l models.
When the compartments are
deeply filled, for
exdtatíMl periods suffidently arger than (her natual
period, particularly in roll motion, that is. Mien
damaged compartments a-e undergoing non-resonant
low amAitUde motions, the linear equations ven by
Ahrams('fl [i) or the equation of motion of the liquid
free
jface derived from
Lag-ange's equation (151
can be of use to derive the slostiing forces
on the
flooded compartment. If the motions are large it is necessol y to introduce nonlinear
free surf ace conditionO When the fill level is small and it does exist strong syna-onizetion, the Glimm's method appears to be (ho bc'st tool to solve the slostiing p-oblem [5,151.
The evaluate the interaction between sioshing n
a damaged comp1ment and ship motions when
syncfronisation is expected, a simplified model of the coupled problem has been set up whereby the sway, heave, and ro motions of the ship &ive the sloshing
progam which in turn determines the dynamic components of the floodwater action
to be
then combined with the other exciting fcrces in the next timestep. Ecc the time belng, ox study makes use of the
20 simulation developed by Eguchi and Niho [6].
They fccmulate the accelerations of the fluid elements in the damaged comp1ment as
where v and are the velocity components relative to
the compartment-fixed coccdinate system. A finite-difference integ'ation scheme is used to derive the
accelerations in the momentum equations of the fluid
as the body fccces per unit mass.
Other linear and nonlinear techniques have been developed to compute the sloshing effects in different situations. A complete p&ameUic analysis is deemed
necessary in ccder to evaluate the ship responses when modelling the sloshing mechanism in alternative
ways and to analyse sloshing fccces when variatons in subdivision arrangement are studied.
PROBABILITY OF NON-CAPSIZING
Like every deterministic model, also oiis built to simulate motions of a damaged ship has pocc ability to deal with uncertainties. Since variables such as
loading, seaway, position and extent of damage, ail of them associated to uncertainty, heavily affect ship motions, it ¡s impalant to consider theù probebilislic
features. Among the others, a widely used procedure fcc dealing with uncertainty while using deterministic
models s to define different damage scenarios and to
rerun the deterministic model fcc each one of them.
Instead of computing the probability of capsizing
within some diiation of time under certain operative
conditions and in given sea regions, safety could be better managed by the designer in terms of probability of non-occurrence to exceed some extreme roll angie
either derived from some rule
and consaint
ccbelieved dangerous. In ccder to provide adequate
safety with respect to design situations, the product of
641
-the probability of occurrence of certain enviocimental
conditions times the probability of exceeding the
dangerous angle must be near to zero. The measure of survival capability is still a probability, namely, the one's complement of dangerous event
P(S) = i - P(D)
As exeme rolling can be the result of cumulative
build up of roll due to a sequence of waves, acccrding to Bayes' fccmula the risk of dangerous event cari be
given as
P(D) P(A) P(DlA) = P(AD)
j
'jalso using the axiom of total probabilities.
The first term P(Aj) takes into account the
environmental condition of the numerical experiment.
if the presence of a wave goup is assumed with a
number of successive waves exceeding a given
maximum amplitude Hmax, the hypothesis of event Aj
can be given as
P(A) = P(j) pi1(1
-where p is the probability of the simulated wave and
the parameter i is given by the fcrmula [9]
=
[t-
e 2(Hmax/Hs)2]lHere H represents the significant wave heigi'it of the - wave g'oup.
In the case of damage accident the designer can be
interested in assessing risk due to rolling in very
shcct-term situations leading to dangerous oscillation up to
capsizing.
That may occur
if the sea spectiumbecomes so narrow that it can be associated to waves whose profile resembles a slowly varying wave -oup. Thus, the sequences of waves will be modelled by means of a wave data basis with given probability
disthbutions of heights and periods using the
narrow-band wave specti-um concept. This one is desibed
by a dominant frequency , a mean zero'-upaossing
period T, and an average wave length L, all of them defined in the domain of the number of waves in terms
of the specti-al moments.
n the time-domain analysis the amplitude expected value of the highest wave and the other characteristics
of a given sea state have to be obtained fcc the required simulation time T, that is, fcc the number of cycles N T3/Tz. The probability of an individual
peak amplitude of N independent waves to exceed
a tteshold level
tca certain sea specum
of veriance m0 can be rnode1ledas a
stationery Gaussian stochastic pxocess,desibed
by the1heetical Raegl distribution
p -
>-
1-eo]N
where fc a narrow frequency band ocean wave the most robabte wave amplitude in N cydes is related to the rms wave amplitude by the fmula 1131
4'fl3X
/;:; [(In N)h/2
+ 0.28.86 (In N)1/2]The second term P(DIA) of the fcmula fc* the total p-obabililies repesents the condItional xobablIity of
the occuence of exceeding the dangerous roll angle
under the hypothesis of event A. t is derived as the ones complement of the cumulative pobabllity
distribution of the standard deviation of roll in the
(Hmx,T0) plane up to the dangerous angle.
The wave pofile is simulated as a regular wave
whose wave amplitude is the most pxobabfe maximum
cc*responding to the selected energy spectrum peak.
It is whtlen as
(x.t) = cas {k0x - t +
where x is the location of each ansvecse section with
respect to the wave taking into
account the shiprelative motion whilst S1 is a random phase angle
chosen to follow an unifcm disÜbution of p-obability
within the range (0,2t) by a random number
generatc. When the peak frequency o is considered,
the wave number k0 cccresponds to the wave length assumed to have a maximum steepness glven by the
relation [91
L = Hmax/(O.I5l - 0.0072 T0)
A NUMERICAL SIMULATION
The p-obabílity of damage suvivabffity has been computed assuming to run the experiment n a sea desaibed by the JONSWAP spectrum when using N1h Sea wave data 181. Instead of reíesenting the
shc1-term sea by ils single wave-energy spectrum and
then deriving random wave amplitudes whose finite
sum re-oduces the sea, a family of wave spectra has
been selected f c- the most p-obable peak periods and
642
covering a meaningful range of significant wave
helìts. Thus, each envi-onmental event has been
reçx-esented as a shal-term wave condItion whose
kinematics are derived from the value of the selected
peak frequency and rms height. A number of 50
random phase angles unifc-mly distributed has been assumed f c* each wave of simulation. The conditional obabilities of dangerous events have been weighted
with the obabilities of ocaxrence fc* each peak period. Therefe, the risk of dangerous event can be desaibed as
P(D) =[ w1P(A1).P(DlA) ]/ w
where m s the number of sea speca of the family and
WI is the obabiIity of occurrence of a (Hm&x,To) pai,
that is, the fraction of the total number of observations fcr each T0 to the total sum of observations fc ail the recc-deced periods.
The architecture of the computer code fc the motion simulation of a damaged ship requires a pevious
stcx'ing in a suitably arranged data base of the results
poduced off-line by the modules relative to the variables that are dependent on a few parameters only
(hydostatics, hy&odynamic coefficients, wave fcces). During the time-domain simulation the system of
differential equations fcr fcecasting ship motions are integ-ated at each time step to give the effective hull
geome'y with respect to the
instantaneous wave p'ofile. The &iving frequency is then derived and the actual values of hydostatics and hy&odynamics areinterpolated after scrtíng.
The simulation runs on the VAX 8820 computer at the University of Trieste. The mean time required to compute the ship motion in a seaway with flc-oòwater in damage compartments is about half a second of
CPU time fcx' every second of real-time motion.
Here the investigation is discussed only fcx' one
experiment. A oss-channel ro-co passenger ferry has been used to simulate the flooding phenomenon in a stochastic sea. Principal particulars of the ship
together with a small scale body plan and layout of
compartments are shoít in Fig. 2. The ship resuhs not to comply with the 1MO probabilistic damage stability
regulations [21], achieving a s,x'vival probability of
58.2%, while the required subdivision index amounts
to 70.2%. The operative and damage conditions,
considered as a numerical example, are desanbed in
Fig. 3 together with the responses in heave, roll, and
'by MO [231 as the limiting ane not to be exceeded duing intermediate asymmetical stages fcr flooding
two compartments, was considered as the dangerous
roll ande. The simulation time was assumed to be
equai to 10 mint.rtes, whh the ship at rest (4) = 4) = 0) at
time t =0. The flooded compartments were considered to be partially filled (-15%) when the flooding started.
The summary of the results of the numerical simulation is ven in the follving table.
lt results a s.rvival capability P(S) = 0.986 fc the
considered operative condition, sea state, position and
extent of damage. The ship oscillates very iregul'1y in heave and roll
as a result
of the presence of nonlinearities at large amplitudes and of heave-rollcoupling. The maxima crespond to the states when natixal frequency of floodwater in roll is at near the
excitation ä-iving frequency (Fig. 4). Differently from
the preliminary conclusions by Petey who studied the same phenomenon in beam seas [16), here the floodwater is not effective as a roll damper. On the conary, ¡t appears that flooding mechanism was
exciting heave and roll motions when there was a arge flow of flodwater on and off the compartment. Another impalant peculiarity is that the re.iction of
righting levers resulted to be mxe relevant than fci the intact ship under equivaient conditions, particularly in the presence of resonance between ship &iving excitation and fiooóNater motion.
CONCLUSIONS
The results of the numerical time-domain simulation of the damaged ship motions are to be analysed only
from a qualitative point of view. Apart from the futtxe
improvement of existing modules and the inoduction
of lacking ones, they heavily depend on the initial
conditions of ship motion and real seaway parameters. So, as it is evident to every naval architect who has not
- 643
a blind faith in mathematics, also this model has to be
experimentally validated with respect to its physical
consistence. The present state of the art does not allow to derive simple and handsome .iidelines useful du-ing
the desii process
as far as the implications of damage survivability on subdivisionand hull fccm are concerned. Befcce reaching such a
target,
a deep and intensive seening of different
approaches must be perfc'med by testing their validity and reliability 1cc ro.itine use. Fcc the time being, ourgoal is to g-adually build up an appropriate model which can be useful to the desiier as a qualitative
tool to perfccm parameic analyses. As far as accuracy
of predictions is concerned, nobody can &eam to reach an exact solution in the near future also because time simulations of nonlinear dynamic systems cannot up to now result in reliable quantitative conclusions.
In the opinion of the authcr, a direct probabilistic
approach is the better method to predict rare events like capsizing also in the case of flooding. In any case, improvement in understanding dynamic stability and updating of existing rules fa- damage stability are to be
explained ¡n terms of the -aditional naval architecture.
To this purpose, and also in crder to investigate the
parame-ic influence of hull fa-m, size, and subdivision arrangement on damage stability in a seaway, the
time-domain modelling approach seems to be
promising and advisable. It could be induded in a
future stochastic optimization design. Last but not
east, the time-domain approach is to be preferred to
obtain a sample disibution fcc capsizing margin to
combine with 1MO marginal densities fcc extent and location of damage. That could be the way to define in a dynamic sense the "s-factce, that is, the probability of non-sinking cc non-capsizing when defining the MC)
Attained Subdivision lndex.
Acknowlegment
The authcc is indebted to his colleagues profi. Alberto
Francescutto and Radoslav Nabergoj fcc the fruitful
discussions in the framewcrk of a common research
and fa- their help ¡n developing some software.
SpectrurJ 1 2 3 4 5 6 7 T0 6.0 7.5 9.0 10.5 12.0 13.5 15.0 m0 0.118 0.207 0.385 0.551 0.639 0.601 0.512 L 28.5 14.7 64.4 87.6 114.4 144.8 178.8 N 140 112 93 80 70 62 56 w 0.090 0.210 0.260 0.170 0.100 0.060 0.030 P(A) 0.016 0.035 0.107 0.105 0.103 0243 0.244 P(DIA,) 0.012 0.031 0.139 0.178 0.222 0 200 0.165
Ref erences
¡ Abramson, H.N.
The Dynamic Behavior of Liquids in Moving Containers, NAASP- 106, 1966.
Bass, QL., Bowles, E.8. andCcx, PA., Liquid Dynamic Loais in LNG Car Tanks, Trans. SNAME, Vol.
88,
l980,pp. 103-126.
Bishop, RED., Price, WO., On the Use of Equilibrium Axes and By Axes in the Dynamics of a Rigid Ship, Journal of Mechanical Enoineeríng Science, Vol. 23, 1981 pp. 23-256.
Blecki, W., Ship Safety In Connection with Parametric Resonance of (he Roll, nt, $hiob, Prresa, Vol. 25, 1978, pp. 36-53.
5 Dlllingham, J., Motion Studies of a Vessel with Water
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Mlling, Prc. IX Simpozi)
Tecrija I
Praksa Brtradnje, Dubrovnik, 1990, pp. 299-309.
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Risk Areas Relating to Ship Stability Assessment, Prec. STAB86, Gdonsk, pp. 279-290.
ike, Y., Himeno, Y., Tanaka, N., A Pr1iction Methi for Ship Roiling Damping, Dep. of Naval Archiiecture, University of Osaka, Report O5, 1978.
li. Kastner, S., Stability ol Ships and Safety from
Capsizin, Prc. Safety at Sea, WEMI. I 977,pp. 95-98. 12. Le Conte, J.N., l-tydrauiiçs,McGrw-Hiii, New York.
9.
LiL
ccozocoo
r0jL.___
:-,
zir.ccoccZ00000000 000Cc 0 0000CC 000 0000000
Fig. 2 : S hip main particulars and layout or comparirnents
644
-3. Longuet-Hiins, MS. On the S(etls(icaì
distributIon
of the heights of sea
waves, Journai of Marine
Vol. II, 1952,pp. 245-266.
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pp.1-Il.
Pet&.', F., Numerical Calculation of Forces and
Moments due to Fluid Motions in Tanks end Damaj Compartmen(s, Prec. STAB'86, Gdensk, pp. 77-82. Pete'i', F., [mittlung der Kentersicnerheit lecker Schiffe im Seng, chiffstechnik, Ed. 35, Heft 4,
1988,pp. 155-172.
I?. Salvesen, N., Tuck, ED., Faitinsen, O., Ship Motions and Sea Loads, Trans. SNAME, Vo. 78, 1970, pp. 250-28 7.
18. Sen, P., Konstantinidis, C., A Tine
Simulation Approh to he Assessment of Dam Srvivabili(y of RO/RO Carge Ships, Trans. SNAME, VoI. 95, 1987, pp. 337-355.
19 Spouge,J.R., The Technical investition of (he Sinking
of the Ro-Ro Ferry
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MOüAssembly, 1973, R8solutionA.265
(Viii).
MO-Paper MSC/Circular 484, 1988. MAIN DIM4SIONS LOA 146.00 ruk
= 14000m Lpp =138.60m T .... B = 1840m4L
D= 1285m
LU LU 12.5 10.0 7.5 5.0 25 0.0 (J
-2.
-5.0
-j
-Jo
-7.5 -70.0 -12.5 1.5 12 0. 9 0.6 0.3 O-0.3
-0.6
-0.9
- 1.2 - 1.5 EXPERIMENT CONDF!ONS J q VI
-
645
--1I
J time (s)Ship Dala Side Dama-ge Wave Data
Displacement = 9550t Length =6.00m Waveampliwde =2.48.5m
Draught. = 5.8.5 ni Height = 300m
Wave fruency = 0.734
Trim
= 000m
Z-bowm =4.00m Hedingang1e 0.00degKG = 7.81 ni Z-top =7.5ni Phase lag = 7.25 deg
Speed = 0.Ok.nots X-centre = 122.2-5m Nurnberof cycles = 70
0 10 20 30 40 50 60 70 80 90 100 flO 120
10 20 30 40 50 60 70 80 90 100 110 120
0 10 20 30 40 50 60 70 80 90 00 110 120
0.0
0.10.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0h/b
Fig. 4 : Syncronization been driving frequency and resonant liquid
frequency in ecrns o(comparnentriIling level.