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ASRANet Colloquium 2002
Reliability analysis of Ship Reliability analysis of Ship StructuresStructures
Fatigue and Ultimate StrengthFatigue and Ultimate Strength
Fabrice JancartFabrice Jancart François Besnier François Besnier
PRINCIPIA MARINEPRINCIPIA [email protected]
ASRANet Colloquium 2002 2
SummarySummary
Uncertainties identification Rule based design and rational design Industrial applications using PERMAS reliability
capabilities Optimisation and reliability Fatigue Ultimate strength
Conclusions
ASRANet Colloquium 2002 3
A major concern: safetyA major concern: safety
On a competitive market New ship concepts Cost / Weight reduction Considerations on sea safety
are increasing
ASRANet Colloquium 2002 4
Designing in an uncertain world:Designing in an uncertain world: from models… from models…
Modelling uncertainties: due to imperfect knowledge of phenomena and idealization and simplification in analysis procedure Loading
Hydrodynamic forces (physical and mathematical models)
Damage evaluation Structural response
Finite element modelApproximations, simplifications
From global to local:
Uncertainties on fabrication effects Fabrication tolerance, residual stresses
“ Natural” uncertainties
ASRANet Colloquium 2002 5
Load modellingLoad modelling
Numerical wave bending moment scatter according to the same hypothesis
from 5.104 T*m to 12 104 T*m
MODIFIED HULL, 0 knots
-1,40E+05
-1,20E+05
-1,00E+05
-8,00E+04
-6,00E+04
-4,00E+04
-2,00E+04
0,00E+00
2,00E+04
-100 -80 -60 -40 -20 0 20 40 60 80 100
X (m)
Wav
e be
ndin
g m
omen
t (t.m
)
L1
L1(bis)
L2
L3
L4
L5
L6
L7
L8
ASRANet Colloquium 2002 7
Designing in an uncertain world:Designing in an uncertain world:From material stochastic propertiesFrom material stochastic properties
Material properties scatter True or nominal values S-N curves approximated by )(log.)(log)(log 101010 mCN
N
P(f)=50%
ASRANet Colloquium 2002 8
Designing in an uncertain world:Designing in an uncertain world:From “natural” stochastic propertiesFrom “natural” stochastic properties
Natural uncertainties: due to statistical nature of ship mission Environmental loading
Short term sea states Long term sea states distribution Missions and routes
4-6
10-12
16-18
0
50
100
150
200
250
Occu
rence
Scatter Diagram
Wave scatter diagram for one block
Example of block decomposition
introduce scatter in prediction
ASRANet Colloquium 2002 9
Rule based design:Rule based design:method and limitsmethod and limits
Rule based approach with Historical hidden safety margins Calibrated by experience on large conventional ships
Incompatible with innovative ship or structural concepts Cannot be applied on structural optimisation process Incompatible with uncertainties on the complex ship
environment and structural behavior Difficulty to determine the safety margins and their evolution
Conflicting with first principal or rational design Need to update the safety partial coefficients with first
principles
ASRANet Colloquium 2002 10
Reliability approach:Reliability approach:risk quantificationrisk quantification
Stochastic definition of the problem: Closer to reality
Computes the probability that solicitations L exceed strength of the structure R
LR
R
LR
LR
ettff PLRP arg,)(
Deterministic
Probabilistic
ASRANet Colloquium 2002 11
Use of PERMAS Use of PERMAS reliability capabilitiesreliability capabilities
Work mainly done during EC supported ASRA Esprit project
Objective : Optimisation under reliability constraints with Permas software
Numerical calculation of failure probability Comparison of various methods:
FORM/SORM gradient based methods Response surface methods (RSM) Crude and adaptive Monte Carlo
Stochastic calibration of partial safety factors Sequences of reliability - optimisation – reliability
ASRANet Colloquium 2002 12
Industrial Application: Industrial Application: reinforced openingreinforced opening
Optimisation of reinforced passengers ship doors Many occurrences of this costly detail Submitted to alternate shear forces Reinforced for fatigue criteria
Gangway
Door
F
-F
ASRANet Colloquium 2002 13
Industrial Application: Industrial Application: reinforced openingreinforced opening
Maximum shear stress criterion Evolution of reliability with optimisation
Limit stress Scantling Load
ASRANet Colloquium 2002 14
Industrial Application Industrial Application reinforced openingreinforced opening
Optimisation: Mass decreases by 10%
Reliability of initial and optimised designs Stochastic loading, normal distribution Failure function G = lim - FE
lim stochastic variable, normal distribution
Failure probability increases from 1.7 10-5 to 2.8 10-3
Optimisation without reliability constraints jeopardises safety
ASRANet Colloquium 2002 15
Industrial Application: Industrial Application: High speed craft High speed craft
Exploitation of high speed crafts (fast mono hulls) reveals:
Fatigue problems under alternate bending and repeated slamming Ultimate strength problems (local and deck buckling )
First principle design reliability based approach compared to traditional (rule based) approach
Impact (slamming)
sagging
ASRANet Colloquium 2002 16
Industrial Application: Industrial Application: High speed craft High speed craft
Fatigue failure & buckling collapse
Confirmed to be very critical design criteriaand subjected to significant uncertainties Loading uncertainties (models and stochastic
nature) Structural strength uncertainties
Fatigue limit Ultimate buckling stress
Missions, routes and service life Heavy weather countermeasures
ASRANet Colloquium 2002 17
High speed craftHigh speed craftBucklingBuckling
High speed vessel on large wave crest
Significant bending moment inducing buckling
ASRANet Colloquium 2002 18
High speed craftHigh speed craftBucklingBuckling
Uncertainties on Ultimate buckling stress u due to scatter on in-yard
fabrication tolerances, built in stresses, described by a log-normal distribution
Extreme value of wave bending moment Mextr, with a Gumbel max probability density law depending on ship service time T
: load modelling effect due to FEM approximations, with a normal distribution
)M(G extru
u
T
(Mextr)
Buckling reliability at mid-ship section
Failure state function
ASRANet Colloquium 2002 19
Typical welded structural detail, fatigue prone
Large number of welded connections, where cracks may initiate
FatigueFatigueReliability analysisReliability analysis
ASRANet Colloquium 2002 20
Local mesh for stress extrapolation (hot spot)
2 1S
LoadingN
K (S-N curve)
T
Historic S
FatigueFatigueReliability analysisReliability analysis
Detail loaded by displacements of global model
ASRANet Colloquium 2002 21
Uncertainties on Critical damage Dc with a log-normal distribution S-N curve (K) due to variable fabrication conditions
described by a log-normal distribution Load modelling S
due to hydrodynamic numerical and navigation condition hypothesis
due to effort in avoiding numerical singularities with the extrapolation near the weld
described by log-normal distributionsC(T): function of service time T
FatigueFatigueReliability analysisReliability analysis
Fatigue reliability due to global wave loads Failure state function
mc S
K
)T(CDG
ASRANet Colloquium 2002 22
FatigueFatigueReliability analysisReliability analysis
More complex failure function:
Dc: critical damage, taken from Classification Society recommendation and defined by a lognormal law,
Kp associated to the S-N curve definition Sm.N=Kp,and defined by a lognormal law
m parameter of the S-N curve
w , parameters of the Weibull distribution
C1 deterministic coefficient associated to the time at sea considered,
C2 deterministic coefficient used in the long term loading distribution
KL associated to the local stress effect
S is the stress variation during wave loading.
gamma function :
mmL
m
pc SKC
m
K
CDG ..).(.
21 1
dteSS ta
0
1
w
S
w
S
wSf exp)(
1
ASRANet Colloquium 2002 23
Buckling reliability for 1 year of exploitation
Fatigue reliability for 15 years of exploitation
- index Pf Tps CPU
FORMSORM
0,9470.89
17,2%18,7%
29 mn29 mn
RSM_LINRSM_AXIAL
0,950.95/0.89
17,1%0.17/0.187
60 mn72 mn
- index Pf Tps CPU
Rule (SN curve) 2,05 2% -
SORMRSM_LIN
1,020.976
15,3%16.45%
26 mn50 mn
RSM_CCD 1,01 15,7% 84 mn
Fatigue and bucklingFatigue and bucklingReliability analysisReliability analysis
ASRANet Colloquium 2002 24
Ultimate strength
Variable Vs Mean value Vs Std dev.
Loading -5.88 -0.24
u 9 0.69
Variable Vs Mean value Vs Std dev
K (S-N curve)Sollicitation S
1.753.29
-0.47-0.58
Critical damage Dc
1.525 -0.24
Fatigue
Fatigue and buckling Fatigue and buckling ElasticityElasticity
ASRANet Colloquium 2002 25
Fatigue and service time
Introduction of time-variant effects in the reliability approach :
Fatigue strength evolutionEffects of aging and corrosion
ASRANet Colloquium 2002 26
Rule based design is not always conservative
Reliability approach can lead to an optimised and robust design.
Simulation methods (Monte Carlo) are too costly for industrial applications.
Use of an existing tool coupling structural and reliability calculations
Gradient based and RSM methods efficient
Application on innovative ship structural concepts
ConclusionsConclusions
« Considering alea in the design process introduces an additional accuracy» Hasofer