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Title: Estimation of the defect detection probability for ultrasonic tests on thick sections steel weldments. Technical report

Abstract

An inspection uncertainty analysis of published PVRC Specimen 201 data is reported to obtain an estimate of the probability of recording an indication as a function of imperfection height for ASME Section XI Code ultrasonic inspections of the nuclear reactor vessel plate seams and to demonstrate the advantages of inspection uncertainty analysis over conventional detection/nondetection counting analysis. This analysis found the probability of recording a significant defect with an ASME Section XI Code ultrasonic inspection to be very high, if such a defect should exist in the plate seams of a nuclear reactor vessel. For a one-inch high crack, for example, this analysis gives a best estimate recording probability of .985 and a 90% lower confidence bound recording probabilty of .937. It is also shown that inspection uncertainty analysis gives more accurate estimates and gives estimates over a much greater flaw size range than is possible with conventional analysis. There is reason to believe that the estimation procedure used is conservative, the estimation is based on data generated several years ago, on very small defects, in an environment that is different from the actual in-service inspection environment.

Authors:
; ;
Publication Date:
Research Org.:
Failure Analysis Associates, Palo Alto, CA (USA)
OSTI Identifier:
6171728
Report Number(s):
EPRI-NP-991
TRN: 79-009117
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; 22 GENERAL STUDIES OF NUCLEAR REACTORS; 42 ENGINEERING; PRESSURE VESSELS; ULTRASONIC TESTING; STEEL-ASTM-A533; CRACKS; WELDED JOINTS; DEFECTS; INSPECTION; PROBABILITY; RELIABILITY; SIZE; ACOUSTIC TESTING; ALLOYS; CONTAINERS; IRON ALLOYS; IRON BASE ALLOYS; JOINTS; MATERIALS TESTING; NONDESTRUCTIVE TESTING; STEELS; TESTING; 360103* - Metals & Alloys- Mechanical Properties; 220200 - Nuclear Reactor Technology- Components & Accessories; 420500 - Engineering- Materials Testing

Citation Formats

Johnson, D.P., Toomay, T.L., and Davis, C.S. Estimation of the defect detection probability for ultrasonic tests on thick sections steel weldments. Technical report. United States: N. p., 1979. Web.
Johnson, D.P., Toomay, T.L., & Davis, C.S. Estimation of the defect detection probability for ultrasonic tests on thick sections steel weldments. Technical report. United States.
Johnson, D.P., Toomay, T.L., and Davis, C.S. Thu . "Estimation of the defect detection probability for ultrasonic tests on thick sections steel weldments. Technical report". United States.
@article{osti_6171728,
title = {Estimation of the defect detection probability for ultrasonic tests on thick sections steel weldments. Technical report},
author = {Johnson, D.P. and Toomay, T.L. and Davis, C.S.},
abstractNote = {An inspection uncertainty analysis of published PVRC Specimen 201 data is reported to obtain an estimate of the probability of recording an indication as a function of imperfection height for ASME Section XI Code ultrasonic inspections of the nuclear reactor vessel plate seams and to demonstrate the advantages of inspection uncertainty analysis over conventional detection/nondetection counting analysis. This analysis found the probability of recording a significant defect with an ASME Section XI Code ultrasonic inspection to be very high, if such a defect should exist in the plate seams of a nuclear reactor vessel. For a one-inch high crack, for example, this analysis gives a best estimate recording probability of .985 and a 90% lower confidence bound recording probabilty of .937. It is also shown that inspection uncertainty analysis gives more accurate estimates and gives estimates over a much greater flaw size range than is possible with conventional analysis. There is reason to believe that the estimation procedure used is conservative, the estimation is based on data generated several years ago, on very small defects, in an environment that is different from the actual in-service inspection environment.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1979},
month = {2}
}

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