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Central Research Institute of Electric Power Industry
Utilization of Miniature C(T) specimens for the fracture toughness evaluation of RPV steels by the Master Curve Method
Materials Science Research Laboratory
EPRI International Light Water Reactor Materials Reliability Conference and Exhibition 2016
August 2016, Hyatt Regency McCormick Place, Chicago, IL, USA
Masato Yamamoto, Naoki Miura and Naoki Soneda
1
Background
If we can use Mini-C(T) specimens, which can be machined from broken Charpy specimens, additional fracture toughness data can be obtained from existing surveillance material.
The Master Curve (MC) method can compensate the specimen size effect.
It was confirmed that T0 values obtained using Mini-C(T) specimens are consistent to those obtained by larger C(T) specimens up to 4T-C(T) specimens in three different heats. (ASME J. of PVT 134-021402)
2August, 2016
Overall goal: Establish and standardize a test procedure to obtain T0 values
using Mini-C(T) specimens machined from broken Charpy halves.
The Master Curve method
August, 2016 3
Fracture toughness (KJc) distribution can be described with specific Weibull distribution.
Unique parameter To for indexing KJc distribution and its temperature trend.
Specimen size dependency of fracture toughness can be compensated.
T - T1 0 0
(oC )
-150 -100 -50 0 50
KIc -
1T
(M
Pa
·m1/2)
0
50
100
150
200
250
300
350
T - T1 0 0
(oF )
-300 -200 -100 0 100
KIc -
1T
(k
si·
in1/2)
0
50
100
150
200
250
300
350
1%
3%
5%
50%
95%97%
99%
KIc (m ed )
1T= 27 .3+ 63 .6exp [0 .01056 (T -T 100)], ks iキin .
1 /2
H S S T -01 suba rc w e ld , N =8 , T100
= -104 .8oF
A 533B c l. 1 suba rc w e ld , N =8 , T100
= -58oF
A 533B c l. 1 w e ld , N =10 , T100
= -151 .6oF
A 533B w e ld -H A Z , N =6 , T100
= -131 .8oF
A 508 c l.2 , N =12 , T100
= -119 .2oF
A 508 c l.2 , N =9 , T100
= -69 .8oF
A 508 c l.2 , N =10 , T100
= -5 .8oF
A 533B c l.1 , N =13 , T100
= -74 .2oF
H S S T -01 , N =17 , T100
= -2 .2oF
H S S T -02 , N =69 , T100
= -18 .4oF
H S S T -03 , N =9 , T100
=28 .4oF
KJc(med ) = 30 + 70exp 0.019 T -To( )éë ùû, MPa
T-T0, degF
T-T0, degC
KJc
(1Teq),
Pa√m
KJc
(1Teq),
ksi√
in
Mini-C(T) specimenDimension
4mm thickness C(T) specimen, whose principal dimensions (B, W, a0, L, 2H) are the same as those standardized in ASTM E1921.
Specimen size (4 x 10 x 9.6 mm)Small enough to be machined maximum 4 specimens from a broken Charpy half.
2.2±
0.0
42
.2±
0.0
4
( )
3
a0 (4±0.4)
W (8±0.04)
L (10±0.08)
D (f2±0.04)
2H
(9.6±
0.0
8)
B (4±0.08)
0.8 at side surface
N
4August, 2016
Development and standardization of Mini-C(T) testand evaluation technique
Basic applicability of Mini-C(T) technique
Round robin testing Standardization of testing and evaluation standard
Implementation of Mini-C(T) technique in surveillance program
Un-irradiated RPV base metal
PVT2012, vol. 134, 021402 (2012)
ASTM STP1576, STP157620140020 (2015)
Revision ofASTM E1921 (2016) and JEAC4216(2015)
(2016~?)
Un-irrad. weld and HAZ
PVP2015-45545PVP2016-63762(2015, 2016)
Small RR among HZDR, SCK/CEN, EPRI, CRIEPI
Irrad. base metal
JAEA project (2015-)CRIEPI project(2015~2018)
Independent projects on various irradiated specimens?
Irrad. weld and HAZ
JAEA project?
Completed, In progress, Planning
Steps
5August, 2016
Objective
Understand “the size effect” of Mini-C(T)for the practical application
How many Mini-C(T) specimens will be needed to evaluate the reference temperature, T0?
What test temperature will be the most appropriate selection?
August, 2016 6
ProcedureCarry out the Monte-Carlo simulation with assuming the Weibull fracture toughness distribution of the Master Curve method.
1. Generate fracture toughness (KJc) data set sampled from the Master Curve Weibull distribution.
2. Estimate To and check its accuracy to the true value.
3. Repeat above two steps up to 1000 times to obtain the statistics of To values.
August, 2016 7
Sampling of fracture toughness data The cumulative probability of KJc in the Master Curve
Pf=1-exp{-[(KJc-20)/(K0-20)]4}
KJc : Individual fracture toughness
K0 : Parameter related to To
Two materials (plate and weld) are simulated
To: -115 degC (SQV2A base metal, unirradiated)
To: -77 degC (SQV2A weld metal, unirradiated)
August, 2016
8Yamamoto et al, ASME PVP2015-45545, (2015) Random number source: Mersenne
twister
Specimen size effect on KJc(limit)
August, 2016 9
Lower KJc(limit) for smaller specimens.
KJc data exceeding KJc(limit) are “Invalid” and to be censored.
Increasing number of invalid KJc will lead to
Larger fraction of invalid T0 .
Less accurate estimation of T0 .
In order to minimize invalid KJc, possible test temperature window has to be narrower in Mini-C(T) than the larger ones.
MC – KJc(limit) relationship before and after irradiation
August, 2016 10
E= 210-0.063(T-20), σy (unirrad) = 84 +271 exp {110 / (T +273.15)}Miura, N. and Soneda, N., ASME, Journal of Pressure Vessel Technology,Vol. 134, 021402, (2010)
ΔTo =0.70 ΔσySokolov, M.A., and Nanstad, R. K., ASTM STP 1325,(1999)
Analytical conditions
Clarify the effect of KJc(limit) for 4mm-T specimen in To evaluation.
Number of specimens: N=8, 9, 10, 11, 12, 13, 14, 16, 20 and 50
To true value: -115 (base metal), -77 (weld metal) degC
Shift of To due to irradiation : ΔTo = 0, 100 degC
To determination procedure : ASTM E1921-15
Specimen : Mini-C(T) (10x9.6x4 mm C(T) specimen)
Number of trials : 1000
August, 2016 11
Distribution of estimated To
August, 2016 12
80% of To
within 5 ˚C70% of To
within 10 ˚C
60% of To
within 5 ˚CVery few valid To
Estimated To is 10˚C
higher than true value
Selection of T is very important.
T-To=-30˚C
T-To= 0˚C
Fraction of valid T0 to 1000 trials, base metal (To (unirrad) =-115 ˚C)
August, 2016 13
Invalid
due to low
num
ber
of
valid
KJc
T-T
0<
-50
T = To- 30 ˚C will be a good choice of test temperature.
Irradiation gives no remarkable influence on fraction of valid To .
Fra
ction
ofva
lidT
oto
10
00
tria
ls
Fra
ction
ofva
lidT
oto
10
00
tria
ls
T-To , ˚C T-To , ˚C
Fraction of valid T0 to 1000 trials, weld metal (To (unirrad) =-77 ˚C)
August, 2016 14
Minimum 8 to 10 KJc data are required to obtain valid To for the given To range.
Fra
ction
ofva
lidT
oto
10
00
tria
ls
Fra
ction
ofva
lidT
oto
10
00
tria
ls
T-To , ˚C T-To , ˚C
Average of To, standard deviation of To, (base metal)
August, 2016 15
Higher test temperature results in higher To due to increase of invalid KJc data.
Standard deviation is about 5 ˚C and insensitive to test temperature.
Average of To, standard deviation of To, (weld metal)
August, 2016 16
Summary of Monte-Carlo analyses Selection of test temperature is important.
T = To - 30 ˚C can be recommended. Higher temperature may results in higher possibility of invalid To, or higher To than
the true value.
Lower temperature may slightly increase the chance of invalid To due to test temperature range requirement.
N = 8 to 10 KJc data in proper test temperature are adequate to valid To
determination for the material in the initial To range of -115 to -77 degC.
To will have ±5 degC error as the standard deviation with limited number of specimens in single data set (N=8 to 16).
August, 2016 17
Possible procedure for Mini-C(T) MC evaluation
August, 2016 18
Procedure
1. Use 2 or 3 specimens to estimate the right test temperature (T=T0 - 30 degC).
2. Continue 8 tests at around T=T0 - 30 degC. (8 to 11 in total of 1. and 2.)
3. If invalid KJc was obtained, continue tests until the number of valid KJc data isbecoming 8 or upper (This may require a few more specimens).
In total, 10 to 12 specimens will be required as the minimum set of specimens for estimating one To value.
Some more specimens may required due to;
Non-straight pre-crack front.
Test failure : bend or brake of loading pins, detachment of clip gauge, stick of pin and specimen due to ice buidup, ductile crack growth.
3 broken Charpy halves