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Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data









Piping Service Experience Related to

Aging in OECD Pipe Failure Data

Exchange (OPDE) Database



Oct. 6, 2005



Sun Yeong Choi*, Joon Eon Yang*, and Young Hwan Choi**



*Korea Atomic Energy Research Institute (sychoi@kaeri.re.kr)

**Korea Institute of Nuclear Safety



1



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Backgrounds



 Aging PSA and Passive System Reliability Study in KAERI

 We have performed

 Participation in OPDE Project to collect piping failure data

 Development of DB for the number of weld of safety piping

systems in Korean NPPs for piping reliability analysis

 Analysis for piping damage frequency / rupture frequency



 We are going to

 Investigate the OPDE database for the piping aging trend

 Develop the estimation method for aging parameter





2



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Purpose of Study



 Purpose of Study

 To Get Insights for Piping Aging Trend from OPDE Database

 How to obtain piping aging trend from OPDE DB

 What is the meaning of the results obtained from piping aging trend

analyses



 Methods

 Understanding of Data Completeness in OPDE DB

 Selection of Data from OPDE DB for Aging Trend Analysis

 Various Aging Trend Analyses with the Selected Data





3



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





OPDE (OECD Piping Failure Data Exchange)



 Objective of OPDE Project

 To develop a well structured, comprehensive database on pipe failure

events

 To enable project member organizations to utilize the collected data for

various application fields including PSA, Aging Management, or LBB



 OPDE Project

 May 2002 ~ September 2008

 Project Members: 12 Countries



 OPDE Database

 Scope of OPDE DB

 Non-through Wall Defect

 Through-Wall Defect without Active Leakage

 Leak / Rupture / Severance

 3,244 records (by May 2005) 4



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Structure of OPDE DB

Regulatory inspection reports



Dev iation Reports



LERs / AOs / ROs / WOs Plant Operating Records / Logs



RIISI Applications ISI Summary Reports ISI Program Plans / ISI Database



Isometric Drawings ASME Section XI Relief Requests Piping Design Inf ormation









Population Data Event Data Service History



Plant A&E Sy stem Component Ev ent Date Af f ected Sy stem(s) Component ISI FAC Program





Locations per isometric Metallurgical Narrativ e w/description of Method of Water Chemistry /

drawing(s) data impact on operations Detection H2-injection (BWR)





Fabrication data Installation WOR IHSI Replacement

Weld data data







Data Retrieval & Validation



Statistical

Analysis Classif ication according to Failure

attributes and inf luences Modes





Identif y degradation mechanism(s)

Data

Analysis





Applications Piping Reliability Parameter dB





PSA PFM RIISI Conditional Rupture

Leak f requencies by

Probabilities by Attributes &

Attributes & Inf luence Factors

Inf luence Factors



Statistical Distribution Parameters 5



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Characteristics of OPDE DB



 Data Source of OPDE DB

 Data from SKI-PIPE Database

 The SKI-PIPE database collected piping failure occurred up

to 1998 from 1970

 Data from 29 Countries (including 12 OPDE Member

Countries)

 Data from OPDE Project Members

 OPDE project mainly focused on piping failures occurred

after 1995

To use OPDE DB for piping aging trend analysis,

understanding of data completeness is required

6



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Data Completeness of OPDE DB (I)



Data Collection for OPDE DB

Start of

End of Base Date

SKI-PIPE

SKI-PIPE (12/31/04)

′1960 ′1970 ′1990 ′2000 ′2008





(1) First Rx-Criticality

Cease of Data

(2) Collection

(3) Pipe Failure

(4) First Record in

OPDE DB

(5)





 Base Date : Closing Date of Data Collection for Analysis 7



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Data Completeness of OPDE DB (II)

 Case (1) and (2)

 Piping failures have been collected successively during both

periods of the SKI-PIPE and OPDE DB



 Case (3) and (4)

 Data collection ceased at the end date of the SKI-PIPE

 Collection of pipe failures from 17 countries stopped after 1998



 Case (5)

 There exists a long interval between the first operation date and

the event occurrence date stored into the DB for the first time

 For some plants, there is no pipe failure record occurred during

the period of the SKI PIPE project

8



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Data Scope for Aging Trend Analysis

 1,424 Records from 212 PWRs

 Plant from OPDE Member Countries (Except for Canada)

 Plant Starting Operation after Jan. 1970

 Total Plant Operation year: 4609.7 yr

 Data having Clear Failure Description



Plant Operating BE CH CZ DE ES FI FR JP KR SE US

Year

0 ~ 10 3 4 1 5 1 14

10 ~ 20 2 4 5 3 22 8 6 23 73

20 ~ 30 4 1 7 3 2 32 10 3 2 31 95

≥30 1 1 3 4 1 20 30

Total 7 2 7 15 6 2 58 23 14 3 75 212



9



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Method 1 for Aging Trend Analysis

 Description

 Three Groups Categorized by Different Base Date (End date of 1984, 1994,

and 2004)

 Common Method for Data Upgrade for Component Reliability Analysis

 We can get more data when base data is Dec. 31, 2004





′1970 ′1984 ′1994 ′2004









(I)

125 Plants (819.7 yr) (II)

198 Plants (2583.7 yr) (III)

212 Plants (4609.7 yr)

Plant Operation 10



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Results of Method 1

Pipe Leak Trend Pipe Crack & Wall Thinning Trend

0 .6 0 0.05

l pi

Al P i ng l nni

W al Thi ng

O ccurrence Frequency (/yr)









0 .5 0 ≤1 i nch









)

ack

Cr









equency (/yr

> 1 and ≤ 4 i

nch 0.04



0 .4 0 >4 i nch

0.03

0 .3 0









O ccur ence Fr

0.02

0 .2 0









r

0.01

0 .1 0



0 .0 0 0.00

1984 1994 2004 1984 1994 2004

B ase D ate e

Base Dat









 Leak frequency dominates the whole piping failure frequency

 Ratio of Leak frequency and other frequencies is more than a factor of 10

 There is no significant trend in crack and wall thinning frequencies

 Leak frequency is decreasing as data collection progresses

11



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Review of Results from Method 1

 Aging Effect

 It is very difficult to extract aging effect from the results

 Each group categorized by base date consists of younger plants

and older plants

 Operation experiences of older plants and younger plants are mixed

in each group









12



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Method 2 for Aging Trend Analysis

 Description

 Three groups are categorized by different total plant operation years

(0~15, 15~25, 25~ 35) with Dec.31 2004 as the starting point

 Plants in Group (3) are the oldest plants, while plants in Group (1) are

the youngest plants

Jan. 1, 1970 Jan. 1, 1980 Jan. 1, 1990 Dec. 31, 2004









Group (3) Group (2) Group (1)

63 Plants (1863.0 yr) 119 Plants (2427.0 yr) 28 Plants (284.6 yr)



25~35 years 15~25 years 0~15 years : Plant Operating Years

1970’s 1980’s 1990’s (up to 2004) : Plant Operation Starting Date

13



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Results of Method 2

Pipe Leak Trend Pipe Crack & Wall Thinning Trend

0.50 0.05

l pi

Al Pi ng ack

Cr

0.40 ≤1 i nch 0.04 l nni

W al Ti ng









equency (/yr)

nch

> 1 and ≤4 i

equency (/yr)









0.30 >4i nch 0.03









O ccur ence Fr

0.02

Occurence Fr









0.20









r

r









0.10 0.01





0.00

0.00

0~ 15 15~ 25 25~ 35

0~15 15~25 25~35

aton

O per i Year

aton

Oper i Year







 Leak frequency of older plants is generally higher than that of

younger plants.

 Ratio of Leak frequency and other frequencies is more than a

factor of 10

14



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Review of Results from Method 2



 Aging Effect

 Although the leak frequency of older plants is generally

higher than that of younger plants, it does not express the

aging effect.

 The leak frequency of older plants during the plant early

operation period is higher than that of younger plants

 The reasons may be low levels of design, construction, and

maintenance in early operation period of older plants.









15



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Method 3 for Aging Trend Analysis

 Description

 Plant operation starting times of all the plants are moved to

identical time point (Jan. 1, 1970)

 Six groups are categorized by 5 calendar years



′1970 0~5 yr 5~10 yr 10~15 yr 15~20 yr 20~25 yr 20~30 yr









212 Plants 207 Plants 196 Plants 179 Plants 112 Plants 61 Plants

(1044.5 yr) (1007.5 yr) (948.4 yr) (736.2 yr) (430.9 yr) (205.2 yr) 16



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Results of Method 3

Pipe Leak Trend Pipe Crack & Wall Thinning Trend

35

0. 0.1

3

0. Crack

0.08 l hi ng

W al-t nni

0.

25 l pi

Al Pi ng

equency (/ )









)

yr









equency (/yr

≤1 i nch

2

0. <1 and ≤4 0.06

<4

15

0.

O ccurence Fr









Occurence Fr

0.04

1

0.

r









r

05

0.

0.02



0

0

0-5 5 - 10 10 - 15 15 - 20 20 - 25 25 - 30

0-5 5 - 10 10 - 15 15 - 20 20 - 25 25 - 30

me Cal

Ti ( endarYear)

me endarYear

Ti (Cal )









 Crack frequency increases progressively

 The trend of leak frequency shows typical bath-tub shape

 The leak frequency is relatively high in early operation period and

decreases by 20-year operation and then the leak frequency

increases 17



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Results of Method 3 (Modified)

Pipe Leak Trend

0.7

0-1 5

O ccurrence Frequency (/yr)









0.6 15-25  Leak data is categorized into

0.5 25-35

three groups by plant

0.4

operation years (0~15, 15~25,

0.3

25~35)

0.2

 And then Method 3 is applied

0.1



0

in each group

0-5 5-10 10-15 15-20 20-25 25-30



m

Ti e







 The leak frequency of the oldest plants decreases as the plants

ages and then increases slightly after 20-year operation

 In the case of plants whose operation years are ranged from 15 to

25, the leak frequency is almost constant as plants age

18



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Review of Results from Method 3



 Aging Effect

 Based on the Method 3, the trend of leak frequency shows

typical bath-tub shape as the plants age

 Considering the plant operation year (0~15, 15~25, 25~35),

the leak frequency of the oldest plants decreases by 20-

year operation and then increases slightly









19



Korea Atomic Energy Research Institute

Practical Application of Age-Dependent Reliability Models and Analysis of Operational Data





Conclusion

 In this Study

 We apply three kinds of analysis methods to figure out piping

aging trend from OPDE DB

 The aging effect can be extracted by using Method 3 based on

the assumption of identical plant operation starting time



 Further Works

 Estimation of Aging Parameter

 Application of Aging Parameter into Aging PSA









20



Korea Atomic Energy Research Institute



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