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1 Challenge the future Response-based analysis of FPSO systems for squall loadings OMAE2012 Rio de Janeiro July 3 rd 2012 OMAE2012-83633 - Joerik Minnebo - Amir Izadparast - Arun Duggal - René Huijsmans

Response-based analysis of FPSO systems for squall loadings OMAE Response-Based Analysis o… · Response-based analysis of FPSO systems for squall loadings ... Spread Mooring Analysis

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Page 1: Response-based analysis of FPSO systems for squall loadings OMAE Response-Based Analysis o… · Response-based analysis of FPSO systems for squall loadings ... Spread Mooring Analysis

1Challenge the future

Response-based analysis of FPSO systems for squall loadingsOMAE2012 Rio de JaneiroJuly 3rd 2012

OMAE2012-83633 - Joerik Minnebo - Amir Izadparast - Arun Duggal - René Huijsmans

Page 2: Response-based analysis of FPSO systems for squall loadings OMAE Response-Based Analysis o… · Response-based analysis of FPSO systems for squall loadings ... Spread Mooring Analysis

2Challenge the future

Introduction

0 2000 4000 6000 8000 10000time[s]

(1‐minavg)w

indspeed[m/s]

originalsquallscaledsquall

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3Challenge the future

Research goals

• Characterize the available squalls• Influence of the individual squall parameters• Compare the current design practice to a response based method

Presentation outline

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4Challenge the future

Squall characterization

0 2000 4000 6000 8000 10000‐2

0

2

4

6

8

10

12

14

time[s]

windspeed[m/s]

OMAE2011-49855

• Rising slope• Peak wind speed• Decay (half‐life) time

OMAE2006-92328

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5Challenge the future

Squall characterizationCorrelations and distributions

12 14 16 18 20 22

0.01

0.05

0.1

0.25

0.5

0.750.90.950.99

Peakwindspeedu0[m/s]

p(u0)

0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08

0.01

0.05

0.1

0.25

0.5

0.750.90.950.99

Risingslopesr(m/s2)

p(s r)

0 50 100 150

0.01

0.25

0.5

0.75

0.9

0.95

0.99

Decayhalflifetime[min]

p()

OMAE2011-49855

10‐510‐410‐310‐210‐11000

10

20

30

40

50

60

70

80

ProbabilityofExceedancePE

Offset[m

]

100yearreturnvalues

CurrentPracticeDesignValueSampleDistributionGPDfit58UnscaledSqualls

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6Challenge the future

Spread Mooring Analysis

OMAE2011-49855

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7Challenge the future

Spread Mooring AnalysisResponse Characteristics

10 12 14 16 18 20 220

1

peakwindspeedu0[m/s]

norm

alizedoffset

0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.080

1

risingslopesr[m/s2]

norm

alizedoffset

0 50 100 1500

1

decayhaflifetime[min]

norm

alizedoffset

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8Challenge the future

Spread Mooring AnalysisResponse Characteristics

20

202

uCukAC

y styw

st

st

dyny

y

yst

time[s]

Offset[m

]

ydyn

0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.51

1.2

1.4

1.6

1.8

2

y dyn/yst

StepResponse

Tn=100sTn=130sTn=160sTn=190sTn=220sTn=250sTn=280sTn=310sTn=340sTn=370sTn=400s

u0

time[s]

windspeed

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9Challenge the future

Spread Mooring AnalysisResponse Characteristics

050

100150

200

00.050.10.150.20.25

0.9

1

1.1

1.2

1.3

1.4

1.5

sr[m/s2]

[min]

y dyn/yst

=0.2=0.3=0.4=0.5

0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.51

1.2

1.4

1.6

1.8

2

y dyn/yst

StepResponse

Tn=100sTn=130sTn=160sTn=190sTn=220sTn=250sTn=280sTn=310sTn=340sTn=370sTn=400s

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10Challenge the future

Design Value Estimation

• Current Design Practice• Response Based Methods

“The 100 year event”

• Spread moored FPSO• 800m water depth• Tn = 290s• = 0.4

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11Challenge the future

Design Value EstimationCurrent Design Practice

smu /3.27100 time[s]

(1‐minavg)w

indspeed[m/s]

u100originalsquallscaledsquall

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12Challenge the future

Design Value EstimationCurrent Design Practice

29 30 31 32 33 34 35 36 370

5

10

15

20

offset[m]

numberofevents

my 8.35100

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.20

5

10

15

20

25

30

35

40

risingslopesr[m/s2]

numberofevents

UnscaledsquallsScaledsqualls

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13Challenge the future

Design Value EstimationResponse based on dynamic amplification

027.10 5 10 15 20 25 300

5

10

15

20

25

30

35

40

peakwindspeedu0[m/s]

offset[m

]

0 5 10 15 20 25 300

5

10

15

20

25

30

35

40

peakwindspeedu0[m/s]

offset[m

]

static=0.0402*u02

0 5 10 15 20 25 300

5

10

15

20

25

30

35

40

peakwindspeedu0[m/s]

offset[m

]

offset=0.0413*u02

static=0.0402*u02

20

20

20 0402.0

2uuCu

kAC

y styw

st

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14Challenge the future

Design Value EstimationPeak wind speed relation and dynamic amplification

024.1, rsE

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15Challenge the future

Design Value EstimationPeak wind speed relation and dynamic amplification

200 )( uCuyy ststdyn

0 5 10 15 20 25 300

10

20

30

40

50

peakwindspeedu0[m/s]

offset[m

]

static=0.0402*u02

offset=0.0413*u02

10‐410‐310‐210‐110010

15

20

25

30

35

40

ProbabilityofExceedancePE

Peakwindspeed[m/s]

1year

10year

100year

1000year

EstimatedProbabilityDistributionSampleDistributionExtremeValues

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16Challenge the future

Design Value Estimation

• Case I Expected Values• Case II Maximum Observed Values• Case III 100 Year Return Values

Peak wind speed relation and dynamic amplification

Page 17: Response-based analysis of FPSO systems for squall loadings OMAE Response-Based Analysis o… · Response-based analysis of FPSO systems for squall loadings ... Spread Mooring Analysis

17Challenge the future

Design Value Estimation

10‐510‐410‐310‐210‐11000

10

20

30

40

50

60

70

80

ProbabilityofExceedancePE

Offset[m

]

100yearreturnvalues

CurrentPracticeDesignValueCaseI:ExpectedValuesCaseII:Max.ObservedValuesCaseIII:100YearReturnValuesStaticValuesStepResponse

Peak wind speed relation and dynamic amplification

= 1.024 = 1.110 = 1.213ααα

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18Challenge the future

Conclusions

• Characterized the squall events••••

Found the governing response characteristicsCompared the different DVE methodsCDP for spread moored is highly conservativeBest method is based on response knowledge 

0 2000 4000 6000 8000 10000‐2

0

2

4

6

8

10

12

14

time[s]

windspeed[m/s]

0 5 10 15 20 25 300

5

10

15

20

25

30

35

40

peakwindspeedu0[m/s]

offset[m

]

offset=0.0413*u02

static=0.0402*u02

10‐5

10‐4

10‐3

10‐2

10‐1

1000

10

20

30

40

50

60

70

80

ProbabilityofExceedancePE

Offset[m

]

100yearreturnvalues

SampleDistributionCurrentDesignPracticeStaticOffsetValuesPWSrelation=1.027StepResponse=1.255DirectExtrapolationMonteCarloSimulations

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19Challenge the future

Thank you for your attention!

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20Challenge the future

14 Bachelor Programs38 Master Programs16,400 students

Master Program “Offshore Engineering”• Partly Civil Engineering• Partly Mechanical Engineering• Partly Maritime Engineering

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21Challenge the future

Page 22: Response-based analysis of FPSO systems for squall loadings OMAE Response-Based Analysis o… · Response-based analysis of FPSO systems for squall loadings ... Spread Mooring Analysis

22Challenge the future

Introduction

Page 23: Response-based analysis of FPSO systems for squall loadings OMAE Response-Based Analysis o… · Response-based analysis of FPSO systems for squall loadings ... Spread Mooring Analysis

23Challenge the future

Design Value EstimationDirect Extrapolation

my 6.37100 10‐510‐410‐310‐210‐1100

0

10

20

30

40

50

60

70

8058unscaledsqualls

ProbabilityofExceedancePE

Offset[m

]

100yearreturnvalues

CurrentDesignPractice58unscaledsquallsEstimatedProbabilityDistribution95%confidenceintervals

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24Challenge the future

Design Value EstimationMonte Carlo Simulations

my 0.30100 10‐510‐410‐310‐210‐1100

0

10

20

30

40

50

60

70

80

ProbabilityofExceedancePE

Offset[m

]

100yearreturnvalues

CurrentPracticeDesignValueSampleDistributionGPDfit58UnscaledSqualls

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25Challenge the future

Design Value EstimationPeak wind speed relation and dynamic amplification

10‐510‐410‐310‐210‐11000

10

20

30

40

50

60

70

80

ProbabilityofExceedancePE

Offset[m

]

100yearreturnvalues

SampleDistributionCurrentDesignPractice

10‐510‐410‐310‐210‐11000

10

20

30

40

50

60

70

80

ProbabilityofExceedancePE

Offset[m

]

100yearreturnvalues

SampleDistributionCurrentDesignPracticeStaticOffsetValues

10‐510‐410‐310‐210‐11000

10

20

30

40

50

60

70

80

ProbabilityofExceedancePE

Offset[m

]

100yearreturnvalues

SampleDistributionCurrentDesignPracticeStaticOffsetValuesPWSrelation=1.027

10‐510‐410‐310‐210‐11000

10

20

30

40

50

60

70

80

ProbabilityofExceedancePE

Offset[m

]

100yearreturnvalues

SampleDistributionCurrentDesignPracticeStaticOffsetValuesPWSrelation=1.027StepResponse=1.255

10‐510‐410‐310‐210‐11000

10

20

30

40

50

60

70

80

ProbabilityofExceedancePE

Offset[m

]

100yearreturnvalues

SampleDistributionCurrentDesignPracticeStaticOffsetValuesPWSrelation=1.027StepResponse=1.255DirectExtrapolation

10‐510‐410‐310‐210‐11000

10

20

30

40

50

60

70

80

ProbabilityofExceedancePE

Offset[m

]

100yearreturnvalues

SampleDistributionCurrentDesignPracticeStaticOffsetValuesPWSrelation=1.027StepResponse=1.255DirectExtrapolationMonteCarloSimulations

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26Challenge the future

Turret Mooring

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27Challenge the future

Turret Mooring

0

0

Xoffset[m]

Yoffset[m

]

0degrees

45degrees

90degrees

135degrees

180degrees

Response characteristicsu0

time[s]

windspeed

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28Challenge the future

Turret MooringResponse characteristics

12 14 16 18 20 22 240

5

10

15

20

25

peakwindspeed[m/s]

Offset[m

]

0deg45deg90deg135deg180deg

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29Challenge the future

Turret MooringResponse characteristics

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30Challenge the future

‐60 ‐50 ‐40 ‐30 ‐20 ‐10 0 10 20 30‐10

0

10

20

30

40

Xoffset[m]

Yoffset[m

]

0deg18deg36deg54deg72deg90deg108deg126deg144deg162deg180deg

Turret MooringCurrent Design Practice

my 7.35100

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31Challenge the future

Turret MooringDynamic Amplification limitations

α 2.60 α 2.67

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32Challenge the future

Turret MooringDynamic Amplification limitations

12 14 16 18 20 22 240

5

10

15

20

25

30

peakwindspeed[m/s]

Offset[m

]

0deg45deg90deg135deg180degStaticMaxobservedDA100yearreturnDAMaxDA

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33Challenge the future

Turret MooringDynamic Amplification limitations

10‐510‐410‐310‐210‐11000

10

20

30

40

50

60

ProbabilityofExceedancePE

Offset[m

]

100yearreturnvalues

CurrentPracticeDesignValueStaticResponseMaximumDAMaximumObservedDA100yearreturnDA