Study on the effect of loading conditions on the fracture behavior of pipeline with girth weld

Chang, Qun; Cao, Yuguang; Zhen, Ying; Wu, Gang; Li, Fagen

doi:10.1016/j.ijpvp.2023.104940

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…The results show that after strain aging treatment, the softening phenomenon in the heat affected zone disappears, and the fracture toughness of all region shows a decreasing trend. Chang et al [16] studied the dynamic fracture behavior of girth-welds under different load mode. And used the numerical simulation method based on Gurson-Tvergaard-Needleman (GTN) model to analyze the crack initiation and dynamic fracture behavior of welded pipes under pure bending load.…”

Section: Introductionmentioning

confidence: 99%

Effect of pre-strain on microstructure evolution and fracture behavior of undermatching X80 pipeline steel girth weld

Dai,

Jia,

Yang

et al. 2024

Mater. Res. Express

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This work aims to study the effect of pre-strain on the fracture behavior of X80 pipeline girth weld joint, a comprehensive analysis was conducted on the microstructure and mechanical properties of the girth weld before and after pre-strain treatment. The mechanical properties were evaluated through tensile testing, Charpy impact testing, and digital image correlation (DIC) strain analysis. Furthermore, the microstructure and fracture morphology of the girth weld were observed using optical electron microscopy (OM) and scanning electron microscopy (SEM). The results show that the application of pre-strain treatment leads to dislocation accumulation at the grain boundary of X80 pipeline girth weld, resulting in stress concentration and subsequent formation of damage holes. This process disrupts the continuity of chain M-A island and initiates small cracks at the grain boundary, ultimately causing a significant decrease in impact toughness and impact work from 177 J to about 10 J.

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Section: Introductionmentioning

confidence: 99%

Effect of pre-strain on microstructure evolution and fracture behavior of undermatching X80 pipeline steel girth weld

Dai,

Jia,

Yang

et al. 2024

Mater. Res. Express

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“…In recent years, bi-layer pipes, consisting of two layers with different functions for each layer, have been widely used to satisfy special needs [16,17]. For example, high-quality bi-layer pipelines are increasingly emerging as the most efficient mode of transporting vital energy resources such as oil and gas as extensive installation takes place [18][19][20]. The clad pipe is one of these cases, which is composed of a carbon steel outer pipe and a corrosion resistant alloy liner, protecting the outer pipe from corrosion.…”

Section: Introductionmentioning

confidence: 99%

Stress Concentration Factors Due to Misalignment at Girth Welds in Bi-Layer Pipes

Guo,

Hu,

Zhao

et al. 2024

JMSE

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In recent years, bi-layer pipes, composed of an inner layer and an outer layer, have been widely used in offshore engineering. In this study, the governing equation for a bi-layer pipe subjected to axisymmetric loadings is derived based on classical shell theory. Then, the equation is used to develop stress concentration factor formulations for girth welds in bi-layer pipes with fabrication tolerances and thickness transitions. Axisymmetric finite element analysis is carried out to verify the accuracy of the proposed formulations. It is noted that these formulations can be well suited for determining the stress concentration factors for a wide range of thickness ratios (ratio of the inner layer thickness to the total thickness in a bi-layer pipe) varying from 0.0 to 1.0. They can also obtain accurate stress concentration factors whether the elastic modulus of the inner layer is smaller or larger than that of the outer layer.

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“…For girth welds, Chang [25] used a numerical simulation method based on the Gurson-Tvergaard-Needleman (GTN) model to analyze the crack initiation and dynamic fracture behavior of a welded pipe under pure bending load. Wu et al [26].…”

Section: Introductionmentioning

confidence: 99%

Failure Risk Prediction Model for Girth Welds in High-Strength Steel Pipeline Based on Historical Data and Artificial Neural Network

Wang

Zhang

Guo³

et al. 2023

Processes

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Pipelines are the most economical and sensible way to transport oil and gas. Long-distance oil and gas pipelines consist of many steel pipes or pipe fittings joined by welded girth welds, so girth welds are an essential part of pipelines. Owing to the limitations of welding conditions and the complexity of controlling weld quality in the field, some defects are inevitably present in girth welds and adjacent weld areas. These defects can lead to pipeline safety problems; therefore, it is necessary to perform failure risk assessment of pipeline girth welds. In this study, an artificial neural network model was proposed to predict the failure risk of pipeline girth welds with defects. Firstly, many pipeline girth weld failure cases, pipeline excavation, and inspection data were collected and analyzed to determine the main factors influencing girth weld failure. Secondly, a spatial orthogonal optimization method was used to select training samples for the artificial neural network model to ensure that the training sample set could cover the feature space with a minimum number of samples. Thirdly, a prediction model based on BP neural networks was established to predict the failure risk levels. The training dataset/testing dataset was 602/4215, and the prediction accuracy for all risks of girth welds achieved an acceptable level. This study can provide a valuable reference for pipeline operators to prevent pipeline accidents.

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Study on the effect of loading conditions on the fracture behavior of pipeline with girth weld

Cited by 6 publications

References 26 publications

Effect of pre-strain on microstructure evolution and fracture behavior of undermatching X80 pipeline steel girth weld

Effect of pre-strain on microstructure evolution and fracture behavior of undermatching X80 pipeline steel girth weld

Stress Concentration Factors Due to Misalignment at Girth Welds in Bi-Layer Pipes

Failure Risk Prediction Model for Girth Welds in High-Strength Steel Pipeline Based on Historical Data and Artificial Neural Network

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