Case Studies in Switzerland - Indico...
Transcript of Case Studies in Switzerland - Indico...
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H4.SMR/1645-5
"2nd Workshop on Earthquake Engineering for NuclearFacilities: Uncertainties in Seismic Hazard"
14 - 25 February 2005
Case Studies in Switzerland
J.-U. Klugel
Kernkraftwerk Goesgen-DaenikenDaeniken, Switzerland
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IAEA/ICTP Workshop on Earthquake Engineering for Nuclear Facilities - Uncertainties in
Seismic Hazard Assessment
“Case Studies in Switzerland”
Trieste, Italy, 14 – 25 February 2005(Unit 28) - (Dr. Jens-Uwe Klügel)
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Contents
• Introduction• Seismic PRA Methodology used in Switzerland -
Overview• First PSHA in Switzerland (1990)• Results of first Seismic PRA (Example NPP Goesgen)• Lessons learned from the first Swiss seismic PRA-studies
• The PEGASOS-Project (ongoing) and its consequences
• References
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Introduction
• Switzerland – 4 NPP sites with 5 reactor units• PRA up to level 2 for full power and shutdown PRA ,
both including external events and internal hazards is a regulatory requirement
• PRA is used as a complementary safety analysis tool for BDBA to identify areas for safety upgrades
• All Swiss NPPs have complete PRA, which have to be upgraded at least once in 5 years
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Seismic PRA Methodology (used to 2004)
• Based on an extension of the methodology developed for the IPEEE program in the USA• Largely based on methods developed by PLG and EQE
International (now ABS risk consulting)• Step 1 :Development of a „PSHA+ for pga (effective
ground accelerations) based on seismic hazard maps• Step 2: Development of a list of safety- important
components and structures
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Seismic PRA Methodology (used to 2004)
• Step 3: Fragility calculation • Review of plant documentation• Walkdown• Screening• Detailed Fragility-Analysis. partially generic
Fragilities (Masonry walls)• pga (in the sense of a EGA) as basis parameter
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Seismic PRA Methodology (used to 2004)
• Step 4 – Development of a Plant –Logic Model• Development of failure models and conditional failure
probabilities• Seismic PRA model• Model Integration
• Step 5: Quantification and Sensitivity studies
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Seismic Probabilistic Risk Assessment
Component-FragilityEvaluation
Seismic Hazard Analysis
Seismic MotionParameter
Freq
uenc
y of
Exce
edan
ce
Event TreesFault Trees
Containment Analysis
P i
P i
P i
Systems Analysis
Seismic MotionParameter
Release Frequency Consequence Analysis
Frequency Damage
Freq
uenc
y of
Exc
eeda
nce
1 32
ReleaseCategory
Pro
babi
lity
Den
sity
•Weather Data•Atmospheric
Dispersion•Population•Evacuation
•Health Effects•Property Damage
Risk
Con
ditio
nal P
roba
bilit
yof
Fai
lure
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Step 1 - Definition of Site Specific Seismic Hazard
Seismic Hazard
Assessment of Upper Bound Magnitudes and Magnitude-Frequency
Relationships
Seismic Sources in the region of interest
Earthquake History Ground Motion
Attenuation RelationshipsExtrapolation into the
area of weak and very strong earthquakes
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Estimation of Hazard Frequencies
For Goesgen a quadratic recurrence law was used
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Site Specific Seismic Hazard
• Original Assessment by B&H – Goesgen -1991• Basis for Seismic-PRA 1993• Result presented as a DPD (108 functions with
corresponding weighting factors) in terms of PGA (peak ground acceleration)
• Adjusted for the PRA Update, 2001• Extension into the area of weak earthquakes• Extrapolation of the hazard functions into the area of very
low annual frequencies (< 10-8/a , 10-10/a cutoff value)
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Step 1 - PSHA
• Based on an extrapolation of existing seismic hazard maps• Switzerland is a low to moderate seismic country• Moderate activity in the „Wallis“ and in the Basel-area, Ticino• No historic macro-seismic events with magnitude >5.5 in any other area
• Two different zonations• Two different conversion formula from intensity to magnitude• Two different attenuation laws including azimuthal dependence• Total uncertainty in the hazard limited to n σ=0.67
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Site-Specific Hazard
• B&H developed 108 diskrete hazard curves for fixed pga values
• Basis for the development of a cumulative hazard distributions
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Site-Specific Seismic Hazard
• Low (?)spread of uncertainties was later criticized (by seismologist, engineers criticized the large spread of data and the need of extrapolation)
• Error – common to most PSHA studies, curves based on Uniform seismic hazard spectra, what is meaningless for a PRA
• A seismic initiator has always ist origin at one source associated with a frequency associated to that source
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Seismic Hazard Curves (US plant)
1E-02
200 400 600 800 1000AN
NU
AL
PRO
BA
BIL
ITY
OF
EXC
EED
AN
CE
median15th percentile
85th percentile
1E-03
1E-04
1E-05
1E-06
1E-08
1E-090
mean
ACCELERATION (cm/sec2)
1E-07
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CCF in Seismic PRA- Methodology – the Use of Uniform Hazard Spectra
The use of UHS is only justified if the hazard is dominated by the influence of one source
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Site Specific Seismic Hazard, Problems
• RISKMAN© seismic module allowed (till 2004) only the use of 9 seismic hazard curves, original 108 curves had to be condensed into 9
• The used ABS(EQE) - DPD-modelling approach in context with the data extrapolation led to a large numerical error
• Alternative approach developed based on data analysis, Model of normally distributed weighting factors
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Sensitivity Analysis on Site specific Seismic Hazard,
• Sensitivity study on hazard curve integration• ABS/DPD-Model intersects
the 85%-graph from the original PSHA by B&H (for low seismic areas not to be expected)
• Model of normally distributed weighting factors fits reasonably between the 50%-and 85%-graph0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
1 .10 10
1 .10 9
1 .10 8
1 .10 7
1 .10 6
1 .10 5
1 .10 4
1 .10 3
0.01
0.1
KNDSi
KDPDi
K50i
K85i
ai
KNDS - Normalverteilungsmodell,KDPD - DPD-Modell der EQE/PLGK50 - Median-Kurve nach Basler&HofmannK85 - 85%-Kurve nach Basler und Hofmann
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Step 2 – List of safety important components and structures
• Starting list of about 600 items• Residual Heat Removal Function• Support Functions (electrical equipment)• New (different from internal event PRA) Passive
components and structures• List later reduced based on screening, use of
super components
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Step 3 – Fragility Analysis
• Detailed Review of Plant Documentation• Walkdown • Screening – based on generic fragilities, EQE –
external events database• Effort for detailed fragility analysis reduced to
less than 100 items, some of them could be summarized to common calculational units
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Fragility Analysis Flow Chart
Seismic Input
Soil StructureInteraction
Structure Modelingand Response
Subsystem Modelingand Response
StructureCapacity
Subsystem CapacityStructure
Failure/Survival
SubsystemFailure/Survival
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Fragility Derivation
• For GÖSGEN, fragility was extrapolated from design information by quantifying factors of conservatism and variability.
• Am= FC*FRE*FRS*ASSE = median PGA capacity
• FC = Capacity Factor (Strength and Ductility Contribute)
• FRE = Response Factor for Equipment/Block Walls
• FRS = Response Factor for the Structure
• HCLPF Capacity = Am*e-[1.65(βR+βU)]
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0
0.2
0.4
0.6
0.8
1
0 0.2 0.4 0.6 0.8 1 1.2 1.4
95%Confidence
Median
5%Confidence
PEAK GROUND ACCELERATION (g)
CO
ND
ITIO
NA
LPR
OB
AB
ILIT
Y O
F FA
ILU
RE
βR = 0.25βU = 0.35
Am = 0.87 g
0.068
Mean
0.20
0.79
HCLPF 0.32g
Seismic Fragility Curves
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Development of a Plant- Logic Model
• Definition of failure modes and failure impacts of seismic components on plant safety functions (PSA-components)
• Problem – dependent „secondary“ failure modes, failure of non-structural equipment which can fail plant equipment• Example – failure of masonry walls (non-structural)• Special expert judgement methodology developed based on a decomposition of
the failure modes to potential damage effects• Individual assessment of more than 450 masonry walls and wall sections
• Development of the final PRA-model• Model size limitations (software)• Iterations required, but limited due to regulatory requirements
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Expert judgement approach for wall categorization and development of conditional probabilities
Table 6-1 Assignment of masonry walls in the electrical building to the classes. Elevation Class A/
Conditional Probability
Class B/ Conditional Probability
Class C/ Conditional Probability
Class D/ Conditional Probability
Class E/ Conditional Probability
Class F/ Conditional Probability
-7.5m 10 0.423 7 0.414 0 0.398 6 0.2915 3 0.226 6 0.1325 -4.2 m 16 0.423 2 0.414 4 0.398 0 0.2915 0 0.226 2 0.1325 0.0 m 6 0.433 14 0.424 6 0.408 9 0.3015 20 0.236 33 0.1425 +4.1 m 4 0.433 13 0.424 24 0.408 8 0.3015 33 0.236 52 0.1425 +7.6 m 3 0.433 11 0.424 24 0.408 1 0.3015 8 0.236 40 0.1425 +10.3 m 0 0.433 2 0.424 7 0.408 0 0.3015 0 0.236 2 0.1425 +12.0 m 0 0.433 2 0.424 27 0.408 1 0.3015 15 0.236 18 0.1425 +14.4 m 0 0.433 0 0.424 6 0.408 0 0.3015 4 0.236 0 0.1425 +19.0m 0 0.433 0 0.414 4 0.398 0 0.2915 0 0.226 0 0.1325 Total Walls in Class
39 51 102 25 83 153
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Conditional Probability for Maximum Wall Failure Impact
• Detailed analysis because seperate modeling of >450 walls is not feasible, large correlation of failure modes
• Adressed were• Direct mechanical impact• Debris Loads• Induced fire damage• Dirt/small debris
IIpP walli
iicondax max,
4
1,Im /∑
=
×=
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RISKMAN® Model Linked Level1/Level2 Event Tree Model
Eventree(s) for External EventsEventree(s) for Support Systems
IE
Eventree(s) for Plant Safety Systemsand AM/SAMG Functions Containment Event Tree
CDFLERF,Sourse
term RiskDependency Matrix, Logic RulesImpact of external events, logic rules Dependency Matrix, LogicRules
Impact of external events, logic rules
Impact of external events, logic rules
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Step 5 Quantification and Sensitivity Studies
8.03E-68.54E-8/a1.799E-6/aHAZ58LF
6.92E-67.07E-8/a1.520E-6/aHAZ58SE
7.99E-6/a8.36E-8/a1.785E-6/aHAZ58B
2.34E-5/a1.44E-6/a5.482E-6/aHAZSEIS
7.29E-5/a1.42E-6/a1.415E-5/aSEISBAS
95% -Fractile
CDF-median
CDF-meanModell
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Sensitiviy Study – Lessons
• Reduction of uncertainties in the hazard definition leads to a large reduction of the risk
• Performed seismic upgrade of 58 masonry walls led to a significant reduction of the seismic risk
• Additional possible upgradesdo not lead to significant riskreduction
0.00E+00
5.00E-06
1.00E-05
1.50E-05
2.00E-05
2.50E-05
CDF
HAZSEISHAZ58BHAZ58SESEISBAS
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Uncertainty Anaylsis– Before Seismic Upgrade
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Uncertainty Analysis after Seismic Upgrade of Masonry Walls
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Sensitivity studies on coupled dependend failure modes Core Damage Frequency Comparison380V Switchgear
1.00E-11 1.00E-09 1.00E-07 1.00E-05 1.00E-03
Core DamageFrequency
Prob
abili
ty d
ensi
ty CompleteDependencePartialDependenceCompletelyindependent
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Large Early Release Frequency Comparison
1.00E-13 1.00E-11 1.00E-09 1.00E-07 1.00E-05 1.00E-03
Large Early Release Frequency
Prob
abili
ty D
ensi
ty
Base Case
PartlyIndependentCompletelyIndependent
380V Switchgear
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Lessons and Conclusions from Swiss PRA-Studies
• Reduction of uncertainties in seismic hazard analysis is the keyfactor to obtain a meaningful seismic risk profile (error factors shall be smaller than 10) • Swiss utilities launched the PEGASOS - project• Seismic initiators shall be defined source-specific = Increase in model
size, limitations of industrial PRA-codes• Fragility calculations shall be modernized – effort and costs can increase
by an order of magnitude• Nonlinear dynamic coupled soil-structure-component-analysis (?)
• degree of sophistication (?), buildings of nuclear facilities are more complex than standard buildings and cannot be modelled by simple non-linear SDOF or simple MDOF-systems
• Alternative – decoupled analysis (will be to pessimistic)
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EZ-1
EZ-2a
EZ-2b
30 km
200km
300 km
PEGASOS – a first outlook
Intermediate lessons
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PEGASOS-Project
GOAL: Probabilistic Seismic Hazard Analysis based on SSHAC Level 4 proceduresNUREG CR-6372 Recommendation for PSHA: Guidanceon Uncertainty and Use of Experts (SSHAC – SeniorSeismic Hazard advisory Commitee), 1997Research StudySeperate treatment of aleatory and epistemic uncertainties according the assumptions in SSHAC, 1997
Actually there is no basis for such a seperation, all uncertainties are in the end epistemic, seperation is mathematically not justified
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PEGASOS
• 4 Subprojects• Seismic Source Characteristics• Ground Motion Characteristics• Site specifc aspects (site amplification)• Quantification of seismic hazard tests
• 21 experts from Europe and the USA and 2 TFI (team facilitators)
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Characterisation of seismic sources
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KKW
Station 2
Station 3
fStation 1
f
ff
Distanz
Bes
chle
unig
ung
10Hz
1Hz
Subproject 2 – Ground Motion Characteristics
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Vergleich
Ver
stär
kung
sfak
tor
Frequenz
Numerisches Modell
A B
Spektrale Skalierungsfaktoren = Spektum B / Spektrum A
f
A
fB
1
Subproject 3 – Site Effects
Baugrund Modell
Fels Elev.
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StandortspezifischeGefährdungsspektren
Frequenz
85%
15%50%
Spe
ktra
leB
esch
leun
igun
g
Gefährdungskurven
Erdbebenkatalog undseismische Quellen
Q1
Q2
Q3
KKW
Magnituden-Häufigkeitsbeziehung
Magnitude
Q1
Q3
Q2Log
Häu
figke
it Q1
Q
Q
Beschleunigung
Auf
tret
ensw
ahrs
chei
nlic
hkei
t
1 Hz
10 Hz
20 Hz
Distanz
Bes
chle
unig
ung
10Hz
1Hz
SpektralesAbminderungsmodell
StandortspezifischeÜbertragungsfunktion
Ver
stär
kung
sfak
tor
1
Frequenz
z.B. P = 10-4 / Jahr
Mmax
PSHA approach in the PEGASOS -Project
Scaling to rock and from rock to site
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Preliminary Results- Deaggregation, Risk is dominated by „hidden undetectable near-site seismic sources“
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Preliminary Lessons of PEGASOS
• Valuable scientific information but still in a form not suitable for practical applications• Use of instrumentation pga instead of EGA
• Ongoing project, implementation phase• Goal: Development of the final hazard
• Currently review of the results and additional analysis• Validation/Benchmarking of results• Review of expert judgement procedures of SSHAC
• Long-term working program (?)
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Preliminary Lessons of PEGASOS
• Validation tests have shown, that the preliminary results are not realistic• Mathematical accumulation of uncertainties due to an
incorrect aggregation procedure • Not justified use of attenuation laws from the US (where these
laws are currently recalibrated to get consistency to the theoryof „Precarious rocks“)
• Unjustified seperation between attenuation and site effects using crude scaling laws from Northern America
• Possible overestimation of upper magnitude limits
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References
1. M.K. Ravindra, W.H. Tong, S. Rao, Seismic PSA Training Course, ABS Consulting, 2003.
2. J.-U. Klügel, Lessons learned from seismic PRA at Goesgen Nuclear Power Plant. WANO-Workshop on the Application of Probabilistic Safety Assessment, Cape Town, December 2-4, 2002.
3. Recommendations for Probabilistic Seismic Hazard Analysis: Guidance on Uncertainty and Use of Experts, NUREG/CR-6372, 1997.
4. J.-U. Klügel, S. Rao, S.Short. Challenges to future Seismic PRA, in: C.Spitzer, U. Schmocker & V. Dang (eds): Probabilistic Safety Assessment and Management.PSAM 7/ESREL’04, 2004, pp. 1232-1237.
5. J.-U. Klügel. 2004. Problems in the Application of the SSHAC Probability Method for assessing Earthquake Hazards at Swiss Nuclear Power Plants – in Press.