Prediction of Tensile Strain Capacity of Spiral-Welded Pipes With Varying Initial Crack Sizes Using Extended Finite Element Method

Abstract Structural integrity assessments are essential for the reliability and safety of energy transportation pipelines. Predicting the fracture resistance of pipes with flaws and defects generated during manufacturing and installation procedures is necessary for improving pipeline designs’ structural integrity. This study employs the Extended Finite Element Method (XFEM) to analyze mixed-mode fracture behavior and tensile strain capacity of API X70 spiral-welded pipe. Single-edge notched tension (SENT) specimens were used to calibrate XFEM parameters due to their fracture toughness similarity to full-scale spiral-welded pipes. The behavior of pipe under operational conditions was studied, focusing on mixed-mode fracture mechanisms specific to the helical geometry of spiral welds. In addition, the impact of initial flaw sizes on the tensile strain capacity and fracture behavior of spiral-welded pipes were evaluated. Results demonstrate that larger flaw sizes reduce fracture toughness and influence mixed-mode crack propagation, as reflected by the significant reduction in remote strain at failure (εfailure) for flaws with larger sizes. These findings provide valuable insights for improving pipeline design, assessing operational reliability, and enhancing structural integrity under real-world loading conditions.

Authors

Institutions

Publication Details

Published
2025-07-20
DOI
https://doi.org/10.1115/pvp2025-153974
Primary Topic
Mechanical stress and fatigue analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction of Tensile Strain Capacity of Spiral-Welded Pipes With Varying Initial Crack Sizes Using Extended Finite Element Method

Lyndon Lamborn, Arman Hemmati, Benjamin Hanna, James D. Hogan et al.
Mechanical stress and fatigue analysis
article

Prediction of Tensile Strain Capacity of Spiral-Welded Pipes With Varying Initial Crack Sizes Using Extended Finite Element Method

Lyndon Lamborn, Arman Hemmati, Benjamin Hanna, James D. Hogan, Samer Adeeb, Amirhossein Iranmehr, Haoyang Li
article en

Abstract

Abstract Structural integrity assessments are essential for the reliability and safety of energy transportation pipelines. Predicting the fracture resistance of pipes with flaws and defects generated during manufacturing and installation procedures is necessary for improving pipeline designs’ structural integrity. This study employs the Extended Finite Element Method (XFEM) to analyze mixed-mode fracture behavior and tensile strain capacity of API X70 spiral-welded pipe. Single-edge notched tension (SENT) specimens were used to calibrate XFEM parameters due to their fracture toughness similarity to full-scale spiral-welded pipes. The behavior of pipe under operational conditions was studied, focusing on mixed-mode fracture mechanisms specific to the helical geometry of spiral welds. In addition, the impact of initial flaw sizes on the tensile strain capacity and fracture behavior of spiral-welded pipes were evaluated. Results demonstrate that larger flaw sizes reduce fracture toughness and influence mixed-mode crack propagation, as reflected by the significant reduction in remote strain at failure (εfailure) for flaws with larger sizes. These findings provide valuable insights for improving pipeline design, assessing operational reliability, and enhancing structural integrity under real-world loading conditions.

University of Alberta (CA), DirecTV (United States) (US)
Openalex Percentile: Top 68%
Mechanical stress and fatigue analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.