Systematic literature review of the application of extended finite element method in failure prediction of pipelines

• Main Authors: M.M. Shahzamanian, Meng lin, Muntaseer Kainat, Nader Yoosef-Ghodsi, Samer Adeeb
• Format: Article
• Language: English
• Published: KeAi Communications Co. Ltd. 2021-06-01
• Series: Journal of Pipeline Science and Engineering
• Subjects: Systematic literature review; Pipelines; Fracture prediction; Extended finite element method (XFEM)
• Online Access: http://www.sciencedirect.com/science/article/pii/S2667143321000299

Ground movements caused by continuous freezing and thawing of the ground in arctic regions can potentially lead to pipeline failures. There are many factors such as internal pressure, pipeline geometry, pre-crack, corrosion, and pre-existing dents that can expedite the failure processes. There exist several methods to predict the failure in pipelines and study the abovementioned factors and their influences. These methods include experiments, analytical models, finite element method (FEM), and extended finite element method (XFEM). For predicting crack propagation in pipelines, XFEM has recently been proposed by researchers as the most efficient among the available methods. The purpose of our work is to conduct a systematic literature review of the available studies that attempted to use XFEM to predict failure due to crack propagation in pipelines and the effect of the abovementioned factors on failure. Articles are summarized according to the performed experiments, the pipeline material grade, failure material model, the investigated effect of various parameters on failure such as internal pressure or defect size, and methods for results verification. The number of articles in the literature using the XFEM for prediction of failure in pipelines was 23 to the best knowledge of the authors. However, in this systematic literature review, all these articles are categorized and investigated. The reviewed articles in general agree that XFEM simulations compare well with experiments, can accurately predict crack propagation in pipelines, and can be used efficiently to study the effect of various parameters on pipeline crack propagation for a wide range of materials.