recent predictions on npr capsules by integrated fuel performance
TRANSCRIPT
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MIT Nuclear Engineering Department
Massachusetts Institute of TechnologyDepartment of Nuclear Engineering
Advanced Reactor Technology Pebble Bed Project
Recent Predictions on NPR Capsules by Integrated Fuel Performance Model
Jing WangAdvisors: Prof. R. Ballinger & Prof. S. YipSponsor: Idaho National Engineering Lab.
July 19, 2002
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2 CANES
Outline
Overview of Integrated Fuel Performance Model
Predictions on NPR Capsules
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3 CANES
Integrated Fuel Performance Model
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4 CANES
Pebble Bed Reactor and TRISO Fuel
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5 CANES
Modules in the Integrated Model
Fission gas release model
Thermal model
Mechanical analysis
Chemical analysis
Fuel failure model
Simulation of refueling
in the reactor core
OPyCSiCIPyC
Buffer PyC
Fuel Kernel
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6 CANES
Mechanical Analysis
System: IPyC/SiC/OPyC
Methods: Analytical or
Finite Element
Viscoelastic Model
Mechanical behavior– irradiation-induced dimensional
changes (PyC)
– irradiation-induced creep (PyC)
– pressurization from fission gases
– thermal expansion
Stress contributors to IPyC/SiC/OPyC
Dimensional changes
Creep
Pressurization
Thermal expansion
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7 CANES
Benchmarking Stress Calculations on NPR Type Fuel
0
50
100
150
200
250
300
350
400
0 0.5 1 1.5 2 2.5 3Fast Neutron Fluence (10^21nvt)
Stre
ss (M
Pa)
MIT
INEEL
Stresses in isotropic IPyC under constant temperature 1032°C
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8 CANES
Weibull Strength Theory
σ0 – characteristic strength (MPa.meter3/m)m – Weibull modulus
∫−=− dV
f
m
eP)/( 01
σσ
( )mmfePfσσ /1 −−=
σmf – mean fracture strength (MPa)
applicable when microscopic cracks prevail
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9 CANES
Fracture Mechanics Based Failure Model
IPyCSiC
OPyC
PIPO
Irradiation
σt
ayIPyCK tI πσ=)(
)(SiCKIC
applied when macroscopic crack presents
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10 CANES
Simulation of Refueling through Non-isothermal MPBR Core
reflectorcoolantcontrolreflectorfuelshutdownpressurevessel
VSOP Model of MPBR core
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11 CANES
Simulation of Refueling - cont’d
0.0E+00
2.0E+06
4.0E+06
6.0E+06
8.0E+06
1.0E+07
1.2E+07
1.4E+07
1.6E+07
0 100 200 300 400 500 600 700 800
Irradiation time (days)
Pow
er d
ensi
ty (W
/m^3
)
A typical power history of a pebble in MPBR core
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12 CANES
Integrated Fuel Performance ModelPower Distribution in the Reactor Core
Sample a pebble/fuel particle
Randomly re-circulate the pebble
Get power density, neutron flux
t=t+∆t
T distribution in the pebble and TRISO
Accumulate fast neutron fluence
FG release (Kr,Xe)PyC swelling
Mechanical model
Failure modelMechanical ChemicalStresses FP distributionStrength Pd & Ag
Failed
In reactor core
Y
10 times
1,000,000 times
MC Outer Loop
MC inner loop
N
N
Y
Monte Carlo outer loop:
Samples fuel particle statistical characteristics
MC inner loop:
Implements refueling scheme in reactor core
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13 CANES
Predictions on NPR capsules
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14 CANES
Typical NPR Particle ParametersMean Value Std. Deviation Distr. Type
Kernel Diameter (µm) 195 5.20 Triangular
Buffer Thickness (µm) 100 10.2 Triangular
IPyC Thickness (µm) 53 3.68 Triangular
SiC Thickness (µm) 35 3.12 Triangular
OPyC Thickness (µm) 43 4.01 Triangular
Fuel Density (g/cm3) 10.52 0.01 Triangular
Buffer Density (g/cm3) 0.9577 0.05 Triangular
IPyC σ0 (MPa.meter3/m) 24.4 9.5 (modulus) Weibull
OPyC σ0 (MPa.meter3/m) 20.1 9.5 (modulus) Weibull
SiC σ0 (MPa.meter3/m) 9.64 6.0 (modulus) Weibull
SiC KIC (MPa. µm1/2) 3300 530 Triangular
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15 CANES
Example of Compact Irradiation History
Temperature history
400500600700800900
100011001200
0 20 40 60 80 100 120 140 160 180
Full Power Days
Tem
pera
ture
(C)
Fast fluence history
0.0
0.5
1.0
1.5
2.0
2.5
0 50 100 150 200 250 300 350
Ellapsed Time (day)
Fast
Flu
ence
(1
0^21
nvt)
Burnup v.s. Fast Fluence
0
20
40
60
80
0.0 0.5 1.0 1.5 2.0 2.5
Fast Fluence (10^21n/cm^2)
Bur
nup
(% F
IMA)
Temperature history
400500600700800900
100011001200
0 50 100 150 200 250 300 350
Elapsed Time (day)
Tem
pera
ture
(C)
NPR-1 A8
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16 CANES
Fuel Failure PredictionsIrradiation Conditions
Fuel Compact ID Fast Fluence
(1025 n/m2)
Irradiation Temp.
(°C)
Burnup
(%FIMA)
NPR-2 A4 3.8 746 79
NPR-1 A5 3.8 987 79
NPR-1 A8 2.4 845 72
NPR-1A A9 1.9 1052 64
IPyC Layer *
% Failed 95% Conf.
Interval (%) INEEL Calc. MIT Calc.
NPR-2 A4 65 54<p<76 100 99.6
NPR-1 A5 31 17<p<47 100 26.6
NPR-1 A8 6 2<p<16 100 60.7
NPR-1A A9 18 5<p<42 100 23.9
SiC Layer *
% Failed 95% Conf.
Interval (%) INEEL Calc. MIT Calc.
NPR-2 A4 3 2<p<6 8.2 13.9
NPR-1 A5 0.6 0<p<3 1.6 0.358
NPR-1 A8 0 0<p<2 4.9 2.74
NPR-1A A9 1 0<p<5 0.9 0.492 (*: layer failure is considered as a through wall crack as measured by PIE. )
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17 CANES
Systematic Study on NPR-1 Capsule
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18 CANES
NPR-1 R/B of Selected Fission Gases
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19 CANES
Irr. Conditions for NPR-1 Compacts
Compact ID A1 A2 A3 A4 A5 A6 A7 A8
EOL Fluence(1021n/cm2)
2.4 3.0 3.5 3.8 3.8 3.5 3.0 2.4
EOL Burnup(% FIMA)
74.0 77.0 78.5 79.0 79.0 78.5 77.0 74.0
Avg. Irr. T(C)
874 1050 1036 993 987 1001 1003 845
EFPD(Day)
170.0
Irradiation Time(Day)
308.3
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20 CANES
Prediction of Failures /w Real Irr. History
Compact ID A1 A2 A3 A4 A5 A6 A7 A8
IPyC Failure 47.38% 6.440% 14.99% 33.54% 26.61% 24.43% 15.64% 60.70%
OPyC Failure 3.87% 0.262% 0.461% 1.91% 1.14% 1.00% 0.548% 6.13%
Particle Failure 1.61% 0.0001% 0.025% 0.857% 0.358% 0.272% 0.068% 2.74%
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21 CANES
Prediction of Failures /w Ideal Irr. History
Compact ID A1 A2 A3 A4 A5 A6 A7 A8
IPyC Failure 84.24% 16.71% 19.42% 33.85% 36.26% 30.26% 29.06% 91.71%
OPyC Failure 13.1% 0.436% 0.549% 1.564% 1.85% 1.23% 1.11% 16.3%
Particle Failure 8.32% 0.038% 0.074% 0.613% 0.790% 0.400% 0.337% 9.64%
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22 CANES
Overall Failure of NPR-1 Capsule
Irradiation TestPrediction
(Real Irr. History)Prediction
(Ideal Irr. History)
No. Particles Contained 77500 77500 77500
No. Failed Particles 625 (a) 656 2384
Failure Probability 0.806% 0.846% 3.076%
Peak Fluence at Initial Failure (1021n/cm2) 1.7 0.587 0.071
Peak Burnup at Initial Failure (% FIMA) 72% 59% 24%
EFPD at Initial Failure 108 73.9 20.45
Peak Temperature at Initial Failure (C) 1123 1025 1086
(a): From readings of the Kr85m R/B
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23 CANES
Kr85m R/B of NPR-1 Capsule
1.0E-09
1.0E-08
1.0E-07
1.0E-06
1.0E-05
1.0E-04
1.0E-03
0 20 40 60 80 100 120 140 160 180Irradiation Time (efpd)
R/B
Experiment
Prediction-real
Prediction-ideal
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24 CANES
Path Forward
Develop Advanced Failure ModelFollows PyC Cracking & Stress Distribution after initial PyC failure
Develop and Incorporate Chemistry ModelINEEL InputsFP Migration Experimental ResultsPd Interaction ResultsOther Input