ANP-10326Q1NP, Rev. 0, 'Response to First Request for ...
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AAREVA
Response to First Request forAdditional Information
ANP-10326Q1 NPRevision 0
ANP-10326P,Environmentally Assisted Fatigue: ModifiedEffective Correction Factor for AusteniticStainless Steels
October 2013
AREVA NP Inc.
(c) 2013 AREVA NP Inc.
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Copyright © 2013
AREVA NP Inc.All Rights Reserved
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Contents
Paqe
Q U E S T IO N 1 .................................................................................................................. 1
Response 1 ......................................................I............................................... 2
QUESTION 2 ......................................................................................................... 5Response 2 ...................................................................................................... 6
QUESTION 3 ......................................................................................................... 7Response 3 ...................................................................................................... 8
QUESTION 4 ................................................................................................................ 12
Response 4 .................................................................................................... 13
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List of Tables
Table 1-1 Comparison of Fen Factors ........................................................................ 3
Table 1-2 Comparison of RFs ................................................................................. 4
Table 3-1 Adjusting factors for in-air fatigue design curve ....................................... 10
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List of Figures
Figure 3-1 NUREG/ CR-6909 Methodology .......................................................... 11
Figure 4-1 Applicability of AREVA's Method .......................................................... 15
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Nomenclature
Acronym DefinitionANL Argonne National LaboratoryASME American Society of Mechanical EngineersDO Dissolved Oxygen
LCF Low Cycle FatiguePWR Pressurized Water ReactorRF Correction Factor that Reduces the Fen Factor (Reduction Factor)
RG Regulatory Guide N,Rt Measure of RoughnessSS Stainless SteelTR Topical Report
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QUESTION 1
The NRC staff has previously endorsed the EAF methodology in NUREG/CR-6909,
Revision 0, in Regulatory Guide 1.207, "Guidelines for Evaluating Fatigue Analyses
Incorporating the Life Reduction of Metal Components due to the Effects of the Light-
Water Reactor Environment for New Reactors." As mentioned above, NUREG/CR-
6909 is under revision; Revision 1 will include the results of all of NRC/Argonne National
Laboratory (ANL) research efforts to date, including the evaluation of significant
additional fatigue data available since the original publication of the report in 2007. The
draft of NUREG/CR-6909, Revision 1, is anticipated to be distributed for public
comment at the end of 2013, and is expected to be endorsed in a revision to Regulatory
Guide 1.207 thereafter. In advance of this publication, NRC staff has discussed the
results of this research at public interactions including committee meetings for the
American Society of Mechanical Engineers Boiler and Pressure Vessel Code. The
comprehensive presentation from May 2012, as well as all public comments and
responses and a revised presentation, are available in the NRC ADAMS at Accession
No. ML1 3008A005. Given that the proposal in the TR would result in less conservative
decisions than the methodology described in either revision of NUREG/CR-6909, the
TR should provide justification of its proposed methodology with respect to those
endorsed by the NRC staff.
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Response 1
The AREVA NP Inc. (AREVA) Topical Report (TR) ANP-10326P, Revision 0 uses
NUREG/CR-6909, Revision 0 to demonstrate the Fen method. Regulatory Guide (RG)
1.207 refers to NUREG/CR-6909 Revision 0, issued in February 2007.
AREVA reviewed the revised comprehensive presentation from May 2012, as well as
the public comments and responses available in the NRC ADAMS at Accession No.
ML13008A005, (Reference 1). A comparison was performed to determine the
difference between Fen calculated in accordance with NUREG/CR-6909, Revision 0,
and Fen calculated using the equations provided in Reference 1, as well as the impact of
the equations provided in Reference 1 on the reduction factor (RF), calculated in
accordance with TR ANP-10326P . As shown in Table 1-1, the revised Fen formulation
of Reference 1 yields values that are reduced by a maximum of 3.1 percent, and, as
shown in Table 1-2, RFs that are reduced by [
I and that the AREVA methodology is
applicable for the material and testing conditions under consideration.
Justification of the proposed RFs, applicable to the Fen factor for Type 304L stainless
steel (SS) and the simulated PWR environment considered (Dissolved Oxygen (DO)
less than 0.1), is based on AREVA's experimental work, presented in TR ANP-10326P.
I
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AREVA's experimental work supplements NUREG/CR-6909, [
References for Response 1:
1. O.K. Chopra, Y. Garud, and G. Stevens, 2012, "Update of NUREG/CR-6909
Methodology for Environmentally Assisted Fatigue (EAF) - Revised Fen
Expressions," revised presentation, NRC ADAMS at Accession No.
ML13008A005, December 2012
Table 1-1 Comparison of Fen Factors
Loading Fen Fen DifferenceANP-10326P Reference I (%)
Revision 0 (Note)
Triangular signal with strain rate 2.08 2.11 +1.440.4%/s
Triangular with strain rate 0.01%/s 5.07 4.97 -1.97
Triangular with strain rate 0.1%/s 2.91 2.91 0Short complex signal A Ea=0.6 5.97 5.80 -2.85
Long complex signal A Ea=0.6 5.88 5.70 -3.06Short complex signal A Ea=0.3 5.88 5.70 -3.06
Short complex signal B Ea=0.6 5.98 5.80 -3.01
Short complex signal B Fa,=0.3 6.01 5.83 - 3.00
Short complex signal C Fa=0.6 6.37 6.17 -3.14
Short complex signal D Ea=0.6 6.02 5.84 -2.99
Short complex signal D Ea=0.3 6.02 5.84 -2.99
Note to Table 1-1:
1. Used NUREG/CR-6909, Revision 0
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Table 1-2 Comparison of RFs
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QUESTION 2
ANP-1 0326P discusses a modified correction factor for EAF evaluation that is
applicable to all austenitic stainless steels. However, Section 3.1 of ANP-10326P notes
that AREVA's test results to establish the modified correction factor were based on
three sources of Type 304L stainless steel (a rolled plate, a forged slab, and a cold
forged branch). Table 3-3 of Section 3.2 of ANP-10326P indicates that a total of 37
specimens were tested, which included 22 polished and 15 ground specimens. Section
4.0 summarizes available surface finish tests from ANL. The applicability of AREVA's
test results to all types of austenitic stainless steels was not provided in
ANP-1 0326P. Therefore, use of the results from testing of 37 specimens of three forms
of Type 304L stainless steel to develop a modified correction factor that is applicable to
all forms and types of austenitic stainless steels is not justified.
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Response 2
Through experimental work, AREVA identified that there is margin in the methodology
proposed in NUREG/CR-6909 for the type 304L austenitic SS that can partially account
for environmental effects on the life of components. As a result, a Reduction Factor
(RF) was developed to account for the identified margin, which can be used to modify
the Fen factor developed in NUREG/CR-6909, Revision 0 for the water environment
considered.
As mentioned in Section 3.1 of the TR ANP-10326P, three sources of SS were used,
with the majority representing 304L rolled plate with a thickness of approximately four
inches for the tests in a PWR- simulated environment. The material exhibits a mean in-
air fatigue life similar to that predicted by the Argonne National Laboratory (ANL) mean
curve in NUREG/CR-6909, Revision 0 and also in Reference 1, as shown in Figure 3-7
of the TR ANP-10326P. The material has representative chemical composition and
mechanical properties of materials currently used in the nuclear industry.
The American Society of Mechanical Engineers (ASME) design in-air fatigue curve
includes an adjustment factor of 2.0 to account for material variability and data scatter.
NUREG/CR-6909 does not consider specific adjustment factors in the development of
its design in-air fatigue curve but suggests that a range of 2.1 to 2.8 is an inherent factor
in the data intended to account for material variability and data scatter. AREVA
recognizes that the testing of a single material type does not allow for bounding of
material variability concerns. Therefore, ANP-10236P, Revision 1 clarifies that
application of the method is limited to Type 304L austenitic SS and PWR environmental
conditions.
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QUESTION 3
As identified in Table 12 of NUREG/CR-6909 and summarized in Table 2-1 of
ANP-1 0326P, the NRC considered a factor for surface finish effects in the range of 2.0
to 3.5 based on limited available data, as part of the overall factor of 12 on life applied to
the best fit mean air curve to develop the design fatigue curve for austenitic stainless
steels. The factor of 12 was arrived at based on a Monte Carlo statistical evaluation to
develop an overall factor that bounded 95 percent of all available data. The effective
environmental fatigue correction factor (Fen) for austenitic stainless steels (Equation 38
of NUREG/CR-6909) was then applied to the design fatigue curve, and is a function of
three important variables: transformed temperature, strain rate, and dissolved
oxygen. However, AREVA's proposed modified correction factor, per Equation 16 of
ANP-1 0326P, is applied to adjust the Fen factor. The application of the modified
correction factor to the Fen value without the need for consistently developing a surface
finish factor in the Fen relationship or modifying the overall factor of 12 on life and the
associated design fatigue curve was not justified, nor was the modified correction factor
developed consistently with the Monte Carlo statistical approach described in Chapter 7
of NUREG/CR-6909 for the type of austenitic stainless steel material that was tested.
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Response 3
Experimental work was performed for Type 304L austenitic SS, which AREVA uses in
its applications, [
] Through the testing, AREVA identified and quantified an
experimental margin that can account for environmental effects. Given the Fen
Equations in NUREG/CR-6909, AREVA proposes that correction factors be applied to
the Fen for the conditions and material tested.
AREVA recognizes that for the evaluation of the overall factor of 12 on life, statistical
Monte Carlo simulations were performed, according to the procedure described in
Section 7.0 of NUREG/CR-6909, assuring a 95 percent bound of the population. The
procedure is demonstrated in Figure 3-1. [
I
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Table 2-1 of TR ANP-10236P, Revision 1 is updated according to the information
presented in Table 3-1.
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Table 3-1 Adjusting factors for in-air fatigue design curve
Parameter 5 th percentile 9 5 th Mean ANP-10326Ppercentile Revision 0
Material Variability 2.1 2.8 2.5 [ JSize Effect 1.2 1.4 1.3 [
Surface Finish, 2.0 3.5 2.8etc.
Loading History 1.2 2.0 1.6 [ JTotal Adjustment 6.0 27.4 14.6 n/al
Note to Table 3-1:
1. AREVA did not intend to produce a new design curve, but to examine the available
experimental margin identified in the methodology proposed in NUREG/CR-6909 for
Type 304L SS.
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Figure 3-1 NUREG/ CR-6909 Methodology
£.ANL Design Curve
(inAir)
Fen " Overall factor= 12
ANIL Methodology......e.inWe .....
ANL Methodology (Curve in Water)ANL Mean Air
Curve
Fen = exp(O.734 - 0.281 . T'. E)
2.08 < Fen < 11; at 300°C I
N25 N
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QUESTION 4
Section 2.3, Page 2-9 of ANP-1 0326P identifies that the impact of the Modified
Goodman correction for mean stress effects was not considered in the experimental
margin term, d, because the correction for mean stress effects is not applicable in the
low cycle fatigue regime for austenitic stainless steel. This statement is not sufficiently
justified, nor is the application of the experimental margin term, d, limited only to low
cycle fatigue results in the proposed methodology.
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Response 4
The experimental margin d and the AREVA methodology are limited to
] This
terminology is in accordance with literature and NUREG/CR-6909 (LCF considered less
than 100,000 cycles).
In Figure 4-1, the best-fit mean data (mean curve), Equation 32 of NUREG/CR-6909, is
in blue color and the design curve in light blue color. The mean curve is adjusted for the
Goodman mean effect (applicable only when the stress amplitude is less than the yield
strength) and then a factor of 12 on cycles, or 2 on stress is applied, whichever is worse
in order to obtain the design curve. These operations are shown in Figure 4-1, [
] This evaluation procedure is in accordance with Section
5.1.8 of NUREG/CR-6909.
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AREVA performed testing with controlled strain amplitude, as Section 3.2.2.2 of the TR
explains. Mean stress was not applied. [
ANP-10326P, Revision 1 provides additional clarification for the area of applicability for
the proposed method.
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Figure 4-1 Applicability of AREVA's Method