Failure analysis of corroded high-strength pipeline subject to hydrogen damage based on FEM and GA-BP neural network

• Published in: International journal of hydrogen energy Vol. 47; no. 7; pp. 4741 - 4758
• Main Authors: Zhang, Han, Tian, Zhigang
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 22.01.2022
• Subjects: Artificial neural networks; Burst model; Hydrogen damage; Hydrogen pipeline; Interacting corrosions; Residual strength; Burst model; Interacting corrosions; Hydrogen pipeline; Hydrogen damage; Artificial neural networks; Residual strength

The pipeline is a major approach to achieving large-scale hydrogen transportation. Hydrogen damage can deteriorate the material performance of the pipe steel, like ductility and plasticity reduction. Corrosion is dominating damage that impairs a pipeline's bearing capacity and structural reliab...