xLPR Modular Code06/09/2011 GDC-4 and LBB • 10CFR50 Appendix A GDC-4 allows local dynamic effects...

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06/09/2011 vg 1 xLPR Modular Code Status and Update David Rudland David Rudland U.S. NRC RES/DE/CIB U.S. NRC RES/DE/CIB Annual Industry/U.S. NRC Materials Programs Technical Information Exchange Meeting Rockville, MD Thursday, June 9, 2011

Transcript of xLPR Modular Code06/09/2011 GDC-4 and LBB • 10CFR50 Appendix A GDC-4 allows local dynamic effects...

Page 1: xLPR Modular Code06/09/2011 GDC-4 and LBB • 10CFR50 Appendix A GDC-4 allows local dynamic effects of pipe ruptures to be excluded from design basis if pipe ruptures have extremely

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xLPR Modular Code Status and Update

David RudlandDavid RudlandU.S. NRC RES/DE/CIBU.S. NRC RES/DE/CIB

Annual Industry/U.S. NRC Materials Programs TechnicalInformation Exchange Meeting

Rockville, MDThursday, June 9, 2011

Page 2: xLPR Modular Code06/09/2011 GDC-4 and LBB • 10CFR50 Appendix A GDC-4 allows local dynamic effects of pipe ruptures to be excluded from design basis if pipe ruptures have extremely

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Topics Discussed

• Brief background – Problem and Motivation

• xLPR Pilot Study (Version 1.0) Description

• Pilot Study Problem Results

• Pilot Study Conclusions

• Path Forward

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Page 3: xLPR Modular Code06/09/2011 GDC-4 and LBB • 10CFR50 Appendix A GDC-4 allows local dynamic effects of pipe ruptures to be excluded from design basis if pipe ruptures have extremely

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GDC-4 and LBB• 10CFR50 Appendix A GDC-4 allows local dynamic

effects of pipe ruptures to be excluded from design basis if pipe ruptures have extremely low probability of occurrence

• Local dynamic effects include pipe whipping and discharging fluids

• Commission-approved conservative flaw tolerance analyses developed and incorporated in SRP3.6.3 to demonstrate leak-before-break and satisfy GDC-4

• One screening criterion in SRP3.6.3 requires no active degradation mechanism

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xLPR Problem / Motivation• LBB approved for piping systems prior to PWSCC operational

experience

• LBB systems still in compliance with regulations

• Qualitative: mitigations and inspections

• Quantitative: probabilistic evaluation to assess compliance

LBB used in Oil and GasPraise first released

NUREG-1061SRP3.6.3 Rev 0

First LBB approval

First Alloy 600 cracking

LBB Reg Guide Draft

VC Summer crackPRO-LOCA first released

MPR-139

Wolf Creek

SRP3.6.3 Rev 1NUREG-1829RIS2008-25

xLPR initiatedxLPR pilot complete

xLPR V2 complete

LBB regulation-->

1975 1980 1985 1990 1995 2000 2005 2010 2015 2020

LBB Events in History

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xLPR Development• NRC goal to develop “Modular” code for addressing

issues related to Risk of Pressure Boundary Integrity Failure

Project Integration

Models Group

Input Group

AcceptanceCriteria

Computational Group

Internal External

Review boardACRS

Industry and NRC staff and contractors

• Currently focusing on piping issues (xLPR) to solve current LBB need. May be applicable to other needs

• Working cooperatively with EPRI through a Memorandum of Understanding Addendum

• NRC and Industry staff participation in all aspects of code development

• Initial pilot study to assess effectiveness of approach

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Team MembersComputational GroupDavid Rudland – U.S. NRCBruce Bishop – WestinghouseNathan Palm – Westinghouse Patrick Mattie – Sandia National LaboratoriesCedric Sallaberry – Sandia National LaboratoriesDon Kalinich – Sandia National LaboratoriesJon Helton – Sandia National LaboratoriesHilda Klasky – Oak Ridge National LaboratoryPaul Williams – Oak Ridge National Laboratory Robert Kurth – Emc2

Scott Sanborn – Pacific Northwest National LaboratoryDavid Harris – Structural Integrity AssociatesDilip Dedhia – Structural Integrity AssociatesAnitha Gubbi – Structural Integrity Associates

Models GroupMarjorie Erickson – PEAIGary Stevens – U.S. NRCHoward Rathbun – U.S. NRCDavid Rudland – U.S. NRCJohn Broussard – Dominion EngineeringGlenn White – Dominion EngineeringDo-Jun Shim – Emc2

Gery Wilkowski – Emc2

Bud Brust – Emc2

Cliff Lange – Structural Integrity AssociatesDave Harris – Structural Integrity AssociatesSteve Fyfitch – AREVA NP Inc.Ashok Nana – AREVA NP Inc.Rick Olson – BattelleDarrell Paul – BattelleLee Fredette – BattelleCraig Harrington – EPRI Gabriel Ilevbare – EPRIFrank Ammirato – EPRIPatrick Heasler – Pacific Northwest National LaboratoryBruce Bishop – Westinghouse

Program Integration BoardCraig Harrington – EPRIAladar Csontos – U.S. NRCRobert Hardies – U.S. NRCDenny Weakland - Ironwood Consulting

Inputs GroupEric Focht – U.S. NRCMark Kirk – U.S. NRCGuy DeBoo – ExelonPaul Scott – BattelleAshok Nana – AREVA NP Inc.John Broussard – Dominion EngineeringNathan Palm – WestinghousePat Heasler – Pacific Northwest National LaboratoryGery Wilkowski – Emc2

Acceptance GroupMark Kirk – U.S. NRCGlenn White – Dominion Engineering Inc.Aladar Csontos – U.S. NRCRobert Hardies – U.S. NRCDavid Rudland – U.S. NRCBruce Bishop – WestinghouseRobert Tregoning – U.S. NRC

David Rudland – U.S. NRCBruce Bishop – WestinghouseEric Focht – U.S. NRCGuy DeBoo – ExelonMarjorie Erickson – PEAIGary Stevens – U.S. NRCHoward Rathbun – U.S. NRCMark Kirk – U.S. NRCGlenn White – Dominion Engineering Inc.

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PEAI

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xLPR Process

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Crack Initiation Module

From Main Loop

Crack Growth Module

TWC

t=t+1

SC

Leak Module-Leak Rate

Critical?

Critical Flaw Module

Inspection Module-POD yes

noSC

TWC

Critical?

yes

Crack Coalescence Module

COD Module

t>tf

no

Stress IntensityModule

Load Module

PreemptiveMitigate?

yes

Aleatory loop

Epistemic loop

Epistemic –

Lack of Knowledge uncertainty

Aleatory –

Irreducible uncertainty

Purple boxes represent self-contained, independent

modules

Probability of leak/rupture

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xLPR Framework

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Fully Open Source GoldSim Commercial Code

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Pilot Study Problems

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Analysis Description

Probabilistic Base Case Probabilistic base case analysis using Monte Carlo sampling.

Sensitivity Study

Stress Mitigation Analyses evaluate different mitigation times, for the same stress-based mitigation.

Chemical Mitigation

Chemical effects of increasing the hydrogen concentration in the water on the crack growth module. Three hydrogen concentrations were

evaluated.

Crack Initiation Considers the crack initiation model uncertainty.

Safe End EvaluationConsiders stainless steel safe end weld, wh ich causes

a through-thickness bending stress that can reduce the tensile inner-diameter stress.

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Uncertainty

• Uncertainties were classified by models/inputs group• More discussion needed, but satisfactory for pilot

study

• Currently uses LHS (epistemic) and MC (aleatory) • Importance sampling was demonstrated

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Epistemic (Lack of knowledge) Aleatory (Irreducible)• Loads• WRS• Crack growth (fweld)• Crack initiation parameters• POD parameters

• Crack size• POD detection• Material properties• Crack growth parameters (Q/R,c,P)

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Base Case Results

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Grey lines represent individual epistemic realizations

Problem is driven by crack initiation!!

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Base Case Results

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var. R2 R2 inc. SRRC var. R2 R2 inc. SRRCSIG0WRS 41.80% 41.80% 0.5363 SIG0WRS 43.90% 43.90% 0.5764B1 57.10% 15.30% -0.3299 B1 60.70% 16.80% -0.3568FWELD 57.80% 0.70% 0.0701 FWELD 61.60% 0.90% 0.0853RANDL17 58.00% 0.20% 0.0369 RANDP05 61.80% 0.20% 0.0391

ODRAND 62.00% 0.20% -0.0358

EXPCFO: 50 y r EXPCFO: 60 y r

• R2 - how much of the output variance is explained with the current input and all previous inputs

• The incremental R2 - how much variance is explained by the addition of this input

• SIG0WRS – ID weld residual stress

• B1 – crack initiation parameter

Sensitivity analyses were conducted to determine driving variables

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Other Base Case Results

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Safe End Sensitivity Case

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0

10

20

30

40

50

60

70

80

4.6E‐08 6.7E‐07 1.3E‐06 1.9E‐06 2.6E‐06 3.2E‐06

Prob

ability Distribution Function

Mean Probability of Rupture 

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Pilot Study Results

• The project team demonstrated that it is feasible to develop a modular-based probabilistic fracture mechanics code within a cooperative agreement while properly accounting for the problem uncertainties

• The project team demonstrated that the cooperative management structure was promising, but recommends a code development leader be selected and the PIB be restructured as an advisory committee

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Pilot Study Results

• Based on the framework code comparison, a cost analysis, and long term prospects, the xLPR project team recommends that the future versions of xLPR be developed using the GoldSim commercial software as the computational framework

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xLPR Pilot study Final Report

GSxLPR Users Manual

ML110700017

SIAMxLPR Users Manual

ML110700023

xLPR Version 1.0 Report

ML110660292

Version 1.0 Comparison report

xLPR Version 1.0 Goldsim

Framework ReportML110700019

xLPR Version 1.0 SIAM Framework

ReportML110700026

xLPR Version 1.0 Models/Inputs

Report

Includes:•Description of framework

development•QA and CM

•Pilot study problem and results•Sensitivity analyses

•Code assessment and comparison with other

•Lessons learned•Recommendations for further xLPR

development

Written by Computational group

Written by Models/Inputs group

Written by SNL

Written by ORNL

Written by CNWRA NUREG/EPRI Report

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ML111510924

Being published as EPRI report

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Path Forward

• Project management restructuring - underway

• Version 2.0 QA program development – underway

• Version 2.0 Model and capability discussions – underway – Focus first on SCC initiation

• Version 2.0 Model development – Sept 2011

• Version 2.0 Framework implementation – April 2012

• Version 2.0 V&V – April 2013

• Version 2.0 release – End 2013

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