Modified Approach for Predicting the Remaining Strength of High-Strength Gouged Pipelines

Gholami, Hojjat; Shahrooi, Shahram; Shishesaz, Mohammad

doi:10.1061/(asce)ps.1949-1204.0000501

Cited by 4 publications

(1 citation statement)

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“…This research is based on analytical, experimental, artificial neural network and semi-empirical methods. [1][2][3][4][5] For nearly half a century, fatigue life prediction models have been developed and optimized for pipelines. The main purpose of this optimization is to determine the accurate fatigue life as a function of pipe material properties and pipe geometries.…”

Section: Introductionmentioning

confidence: 99%

Strain-based fatigue life analysis of pipelines with external defects under cyclic internal pressure

Gholami

Shahrooi

Shishesaz

2020

The Journal of Strain Analysis for Engineering Design

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Gouge and dent are common mechanical defects in oil and gas pipelines. These defects with plastic strain cause stress concentration in the pipelines. Plastic strain is dependent on initial deformation and spring-back behavior of materials. Therefore, they reduce the fatigue life of pipelines. In this paper, the strain-base fatigue life analysis is investigated in pipelines with smooth dent or combination smooth dent and gouge defects under cyclic internal pressure. For this purpose, elastic-plastic multilinear isotropic hardening finite element simulation was used to investigate the effects of various factors, such as residual stress of dent, amplitude internal pressure, pipe geometry, gouge geometry, and smooth dent geometry on stress concentration factor (SCF). Finally, a new method is proposed for predicting the fatigue life of pipelines with uniform dent and uniform dent and gouge combination defects. The model is presented based on the Smith-Watson-Topper (SWT) criterion. A set of fatigue life test specimens with various pipe materials, size and geometry were prepared and tested. The specimens carried a smooth dent, as well as a combination of smooth dent and gouge defects, results of which were collected to validate those obtained based on the proposed model. The results of the predicted tests using the developed formula showed a good correlation to practical experiments.

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