This project is aimed at developing hierarchical Bayesian models to characterize the grow of corrosion and stress corrosion defects on buried pipelines based on inline inspection data.
This project is aimed at developing optimal maintenance strategies for oil and gas pipelines with respect to various integrity threats such as the third-party interference, corrosion and stress corrosion cracking by considering multiple, often conflicting, objectives such as the reliability, risk, availability and maintenance cost.
This project involves experimental work and numerical studies to facilitate the standardization of the SE(T) specimen for the determination of the J-R curve for pipeline steels. Specific topics include evaluation of the plastic geometry factors for employing the single-specimen technique to experimentally determine the J-R curve, the J-CTOD relationship, impact of the crack front curvature and inhomogeneous material properties on the J-R curve testing.
This project is aimed at developing J-R curves that are parameterized by suitable the crack-tip constraint parameters to deal with the fracture toughness transferability issue such that the J-R curve determined from the small-scale laboratory specimens can be adequately applied to the design and assessment of full-scale pipelines subjected to longitudinal loading and the internal pressure.
This project involves reliability analyses of pipelines buried in unstable slopes by employing the strain-based limit state functions. The random field theory is used to deal with the spatial variability of the pipe and soil properties. The pipe-soil interaction is characterized by the conventional soil springs as well as the state-of-the-art macro elements.