Low-carbon steel is widely used in industrial pipelines, and corrosion studies are focused mostly on erosion-corrosion, its prediction control. In this paper, the rate pipelines modeled using a flow loop measured by linear polarization resistance method (LPR) 3-electrode setup for API-5L-X65 QT steel. Optical microscopy SEM conducted to examine surface of sample products. The effect NaCl concen...

Most of the standards available for assessment failure pressure corroded pipelines are limited in their ability to assess complex loadings, and estimations conservative. To overcome this research gap, study employed an artificial neural network (ANN) model trained with data obtained using finite element method (FEM) develop equation predict a pipeline single corrosion defect. A analysis (FEA) m...

Conventional pipeline failure pressure assessment codes do not allow for prediction of interacting defects subjected to combined loadings. Alternatively, numerical approaches may be used; however, they are computationally expensive. In this work, an analytical equation based on finite element analysis the API 5L X52, X65, and X80 corroded pipes with a longitudinal corrosion defect loadings is p...