Published November 2016 | Version v1
Journal article

Probability of rupture model for corroded pipelines

  • 1. Department of Civil and Environmental Engineering, The University of Western Ontario, London, N6A 5B9 (Canada)
  • 2. Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, N2L 3G1 (Canada)

Description

A log-logistic model is developed to predict the probability of rupture (POR) given burst of a pressurized steel pipeline at a naturally-occurring part-through wall corrosion defect. The predictors of the model are the defect depth normalized by the pipe wall thickness and defect length normalized by the square root of the product of the pipe diameter and wall thickness. A set of 140 full-scale burst tests of corroded thin-walled pipes are collected from the open literature to calibrate and validate the proposed POR model. The parameters of the POR model are evaluated using the maximum likelihood method. To facilitate deterministic defect assessments, a threshold POR of 0.35 is proposed such that defects with POR greater than or equal to 0.35 are designated as potential ruptures. The impact on the proposed POR model due to the measurement errors associated with defect sizes reported by the inspection tool is examined through sensitivity analyses. - Highlights: • Log-logistic probability of rupture model for corroded pipelines. • Based on a large number of full-scale burst test data. • Model parameters evaluated using the maximum likelihood method. • Threshold POR value developed for facilitating deterministic assessment.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ijpvp.2016.10.001

Additional details

Identifiers

DOI
10.1016/j.ijpvp.2016.10.001;
PII
S0308-0161(16)30213-7;

Publishing Information

Journal Title
International Journal of Pressure Vessels and Piping
Journal Volume
147
Journal Page Range
p. 1-11
ISSN
0308-0161
CODEN
PRVPAS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48063131
Subject category
S42: ENGINEERING;
Descriptors DEI
CORROSION; DEFECTS; INSPECTION; MAXIMUM-LIKELIHOOD FIT; PIPELINES; PIPES; RUPTURES; SENSITIVITY ANALYSIS; STEELS; THICKNESS; WALLS
Descriptors DEC
ALLOYS; CARBON ADDITIONS; CHEMICAL REACTIONS; DIMENSIONS; FAILURES; IRON ALLOYS; IRON BASE ALLOYS; MATHEMATICAL SOLUTIONS; NUMERICAL SOLUTION; TRANSITION ELEMENT ALLOYS; TUBES

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.