Stochastic Predictions of Parametric Roll Motions of Ships

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CeSOS, Trondheim , March 2006 Stochastic Predictions of Parametric Roll Motions of Ships J. Juncher Jensen Department of Mechanical Engineering, Technical University of Denmark, Denmark

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Stochastic Predictions of Parametric Roll Motions of Ships. J. Juncher Jensen Department of Mechanical Engineering, Technical University of Denmark, Denmark. Parametric Roll. Container Ship in Head Sea. Parametric Roll in Regular Waves. Linear Stochastic Waves. Equivalent Wave for GZ. - PowerPoint PPT Presentation

Transcript of Stochastic Predictions of Parametric Roll Motions of Ships

Page 1: Stochastic Predictions of Parametric Roll Motions of Ships

CeSOS, Trondheim , March 2006

Stochastic Predictions of Parametric Roll Motions of Ships

J. Juncher JensenDepartment of Mechanical Engineering, Technical

University of Denmark, Denmark

Page 2: Stochastic Predictions of Parametric Roll Motions of Ships

CeSOS, Trondheim , March 2006

Parametric Roll

Page 3: Stochastic Predictions of Parametric Roll Motions of Ships

CeSOS, Trondheim , March 2006

Container Ship in Head Sea

Length L

BreadthB

Draft D Block coeff. Cb

β1 β2 β3 GMsw Radius of gyr. rx

Speed V

284 m 32.2 m 10.5 m 0.61 0.012 0.40 0.42 0.89 m 0.4B 6 m/s

h=0.05L, Lw=L

0

1

2

3

0 10 20 30 40 50Roll (deg)

GZ

(m

)

AP L/4 L/2 3L/4

3

31 2 2

( )2 0

x

g w GZ

r

Page 4: Stochastic Predictions of Parametric Roll Motions of Ships

CeSOS, Trondheim , March 2006

Parametric Roll in Regular Waves

-20

-15

-10

-5

0

5

10

15

20

0 100 200 300 400 500 600

time (s)

roll

(d

eg

)

h=3.7m h=3.65m

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CeSOS, Trondheim , March 2006

Linear Stochastic Waves

1

( , ) ( , ) ( , )n

i i i ii

H x t u c x t u c x t

2

( , ) cos( )

( , ) sin( )

( )

i i i i

i i i i

i i i

c x t t k x

c x t t k x

S d

Page 6: Stochastic Predictions of Parametric Roll Motions of Ships

CeSOS, Trondheim , March 2006

Equivalent Wave for GZ

H(X,t): Stochastic wave profileh(t): Equivalent wave height used in calculation of GZxc(t): Wave crest position

0 0

2 2

2 2 2 2( ) , , cos ; ( ) , , sin

, cos

2 ( )arccos if ( ) 0

2 ( )( )

2 ( )arccos if ( ) 0

2 ( )

( ) ( ) ( )

e eL L

e e e e

e

c

ee

x xa t H X x t t dx b t H X x t t dx

L L L L

X x t x Vt

L a tb t

h tx t

L a tL b t

h t

h t a t b t

Page 7: Stochastic Predictions of Parametric Roll Motions of Ships

CeSOS, Trondheim , March 2006

FORM Analysis

The design point D (*) and the associated value of βHL determine accurately the probability that the response exceed the prescribed value. They can be calculated by standard reliability programs.

,i iu u

3

31 2 2

( )2 0

x

g w GZ

r

0 0

0

( )

Linear response:

standard deviation

HL

HL

P t

1 1 2 2 0 0 1 2 21( , , , , ..., , ) ( , , , , ..., , ) 0n n nnG u u u u u u t u u u u u u

Page 8: Stochastic Predictions of Parametric Roll Motions of Ships

CeSOS, Trondheim , March 2006

Conditional Most Probable Roll Motion

• Roll period in waves must be in the range of twice the wave encounter peak period. • Simulation time t0 longer than the hydrodynamic memory.• Results to the right:

Design point wave elevation Roll response for this wave

for Hs=6m, 12m and prescribed roll angle of 17 deg. (0.3 rad.)• A minimum wave height (3.7m) is needed to trigger parametric roll.

-20

-15

-10

-5

0

5

10

15

20

0 100 200 300 400 500 600

time (s)

roll

h=3.7m h=3.65m

-20

-15

-10

-5

0

5

10

15

20

0 50 100 150 200 250 300

time (s)

Ro

ll (

de

g)

Hs=6m Hs=12m

-3

-2

-1

0

1

2

3

0 50 100 150 200 250 300

time (s)

Wa

ve

ele

va

tio

n (

m)

at

am

ids

hip

s

. Hs=6m Hs=12m

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CeSOS, Trondheim , March 2006

Conditional ResponsesConditional mean response = Most probable response

0 50 100 150 200 250 300

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CeSOS, Trondheim , March 2006

Reliability Index βHL

Linear response: βHL = constant*Roll/Hs

0

2

4

6

8

10

12

10 20 30 40 50roll (deg)

Bet

a

Hs=12m

Hs=6m

MC(12m)

(Hs=6m)/2

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CeSOS, Trondheim , March 2006

Variation with V,Tz and Heave

0

2

4

6

8

10

12

20 30 40 50roll (deg)

Bet

a

V=6m/s

V=3m/s

V=9m/s

0

2

4

6

8

10

12

20 30 40 50roll (deg)

Bet

a

Tz=11.7s

Tz=13s

Tz=11s

0

2

4

6

8

10

12

20 30 40 50roll (deg)

Bet

a

Hs=12m

No Heave

Page 12: Stochastic Predictions of Parametric Roll Motions of Ships

CeSOS, Trondheim , March 2006

Mean Outcrossing Rates

The mean outcrossing rate is given by

21

2 2 220

1

1( )

2

HLn

i i iiHL

e u u

0 01 / 0F

/0 0{max } 1 ( )eT T

TP F

Page 13: Stochastic Predictions of Parametric Roll Motions of Ships

CeSOS, Trondheim , March 2006

Probability of Exceedance

0

0.25

0.5

0.75

1

10 20 30 40roll (deg)

P{M

ax

(ro

ll)>

Pre

sc

rib

ed

|15

min

ute

s}

.

Hs=6m Hs=12m

Given ship, speed, heading and zero-crossing wave period

Page 14: Stochastic Predictions of Parametric Roll Motions of Ships

CeSOS, Trondheim , March 2006

Decision Support Systems

{max 15 deg 15 minutes} 0.5 P

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Conclusions

• The First Order Reliability Method (FORM) provides a fast and accurate tool to predict parametric roll in stationary seaways:• The design point and reliability index follows from FORM• The mean outcrossing rates and probability of

exceedance of a given roll angle within a given period is given analytically in terms of the design point and the reliability index.

• It requires a realistic time-domain formulation of roll.

• The procedure is well suited for generation of a operational polar diagram in an on-board decision support system.