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1 MIT Nuclear Engineering Department Massachusetts Institute of Technology Department of Nuclear Engineering Advanced Reactor Technology Pebble Bed Project Recent Predictions on NPR Capsules by Integrated Fuel Performance Model Jing Wang Advisors: Prof. R. Ballinger & Prof. S. Yip Sponsor: Idaho National Engineering Lab. July 19, 2002

Recent Predictions on NPR Capsules by Integrated Fuel Performance

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Page 1: Recent Predictions on NPR Capsules by Integrated Fuel Performance

1

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

Page 2: Recent Predictions on NPR Capsules by Integrated Fuel Performance

2 CANES

Outline

Overview of Integrated Fuel Performance Model

Predictions on NPR Capsules

Page 3: Recent Predictions on NPR Capsules by Integrated Fuel Performance

3 CANES

Integrated Fuel Performance Model

Page 4: Recent Predictions on NPR Capsules by Integrated Fuel Performance

4 CANES

Pebble Bed Reactor and TRISO Fuel

Page 5: Recent Predictions on NPR Capsules by Integrated Fuel Performance

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

Page 6: Recent Predictions on NPR Capsules by Integrated Fuel Performance

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

Page 7: Recent Predictions on NPR Capsules by Integrated Fuel Performance

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

Page 8: Recent Predictions on NPR Capsules by Integrated Fuel Performance

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

Page 9: Recent Predictions on NPR Capsules by Integrated Fuel Performance

9 CANES

Fracture Mechanics Based Failure Model

IPyCSiC

OPyC

PIPO

Irradiation

σt

ayIPyCK tI πσ=)(

)(SiCKIC

applied when macroscopic crack presents

Page 10: Recent Predictions on NPR Capsules by Integrated Fuel Performance

10 CANES

Simulation of Refueling through Non-isothermal MPBR Core

reflectorcoolantcontrolreflectorfuelshutdownpressurevessel

VSOP Model of MPBR core

Page 11: Recent Predictions on NPR Capsules by Integrated Fuel Performance

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

Page 12: Recent Predictions on NPR Capsules by Integrated Fuel Performance

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

Page 13: Recent Predictions on NPR Capsules by Integrated Fuel Performance

13 CANES

Predictions on NPR capsules

Page 14: Recent Predictions on NPR Capsules by Integrated Fuel Performance

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

Page 15: Recent Predictions on NPR Capsules by Integrated Fuel Performance

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

Page 16: Recent Predictions on NPR Capsules by Integrated Fuel Performance

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. )

Page 17: Recent Predictions on NPR Capsules by Integrated Fuel Performance

17 CANES

Systematic Study on NPR-1 Capsule

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18 CANES

NPR-1 R/B of Selected Fission Gases

Page 19: Recent Predictions on NPR Capsules by Integrated Fuel Performance

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%

Page 21: Recent Predictions on NPR Capsules by Integrated Fuel Performance

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

Page 24: Recent Predictions on NPR Capsules by Integrated Fuel Performance

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