Structural integrity analysis of pipelines with interacting corrosion defects by multiphysics modeling

Soares, Elder; Bruère, Vivianne Marie; Afonso, Silvana Maria Bastos; Willmersdorf, Ramiro Brito; Lyra, Paulo Roberto Maciel; Bouchonneau, Nadège

doi:10.1016/j.engfailanal.2019.01.009

Cited by 29 publications

(8 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence, it was concluded that the addition of a compressive axial force as service load causes a decrease in failure pressure of pipes with corrosion defects. Similar results were obtained by Soares et al [30], which simulated combined effects of internal pressure and thermal effects in IDTS 5 model. The thermal expansion originated by the heating of the pipe causes compressive thermal stresses in the axial direction due to the fixation at the extremities of the pipe.…”

Section: Pressure Failure Prediction Of Corroded Pipelines Submitted supporting

confidence: 88%

“…However, the values obtained were non-conservative for both models, despite the low percentage error (5.22% for IDTS 5 and 6.24% for IDTS 9). Similar results and observations were also obtained by Soares et al [30], which simulated IDTS5 model with commercial software and compared with several assessment methods.…”

Section: Pressure Failure Prediction Of Corroded Pipelines Submitted supporting

confidence: 86%

See 1 more Smart Citation

Failure pressure prediction of corroded pipes under combined internal pressure and axial compressive force

Bruère

Bouchonneau

Motta

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

Self Cite

View full text Add to dashboard Cite

In this work, failure prediction of corroded pipelines under combined loads of internal pressure and axial compressive force is investigated through the Finite Element Method. The study was carried out using the PIPEFLAW program, which was specially developed to automatically generate and analyze corroded pipelines models. Two configurations of idealized defects in pipeline were investigated: with two and three rectangular defects. This work was divided into two stages where, on the first stage, the analysis is performed considering only internal pressure. On the second stage, combined loads are simulated considering internal pressure and axial compressive forces. Results show that failure pressure values decrease with the increase in the axial compressive force, for both Finite Elements models analyzed.

show abstract

Section: Pressure Failure Prediction Of Corroded Pipelines Submitted supporting

confidence: 88%

Section: Pressure Failure Prediction Of Corroded Pipelines Submitted supporting

confidence: 86%

Failure pressure prediction of corroded pipes under combined internal pressure and axial compressive force

Bruère

Bouchonneau

Motta

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The method was originally developed to solve structural mechanics problems, and it has since been extended to other branches of engineering and science, such as heat transfer, fluid dynamics, and electromagnetism. FEM is the numerical method of choice to evaluate the integrity of a pipeline as this method can be employed in widely available commercial FEM software such as ANSYS, ABAQUS, and ALTAIR HyperWorks [ 1 , 2 , 27 , 53 , 54 ].…”

Section: Finite Element Methods (Fem) As a Corrosion Defect Assessment Methodsmentioning

confidence: 99%

A Review of Finite Element Analysis and Artificial Neural Networks as Failure Pressure Prediction Tools for Corroded Pipelines

Kumar

Arumugam

et al. 2021

Materials

View full text Add to dashboard Cite

This paper discusses the capabilities of artificial neural networks (ANNs) when integrated with the finite element method (FEM) and utilized as prediction tools to predict the failure pressure of corroded pipelines. The use of conventional residual strength assessment methods has proven to produce predictions that are conservative, and this, in turn, costs companies by leading to premature maintenance and replacement. ANNs and FEM have proven to be strong failure pressure prediction tools, and they are being utilized to replace the time-consuming methods and conventional codes. FEM is widely used to evaluate the structural integrity of corroded pipelines, and the integration of ANNs into this process greatly reduces the time taken to obtain accurate results.

show abstract

“…Sun and Cheng [ 16 ] also implemented a 3D finite element model to investigate mechano-electrochemical interaction of multiple longitudinal corrosion defects. Soares et al [ 17 ] presented a model to analyze the integrity of pipelines with interacting corrosion defects under internal pressure and thermal stresses. Chen et al [ 18 ] used a nonlinear finite element model to study the failure pressure of X80 pipelines with interacting corrosion defects.…”

Section: Introductionmentioning

confidence: 99%

A Crack Propagation Method for Pipelines with Interacting Corrosion and Crack Defects

Xie

Wang

Xiong³

et al. 2022

Sensors

View full text Add to dashboard Cite

Corrosion and crack defects often exist at the same time in pipelines. The interaction impact between these defects could potentially affect the growth of the fatigue crack. In this paper, a crack propagation method is proposed for pipelines with interacting corrosion and crack defects. The finite element models are built to obtain the Stress Intensity Factors (SIFs) for fatigue crack. SIF interaction impact ratio is introduced to describe the interaction effect of corrosion on fatigue crack. Two approaches based on extreme gradient boosting (XGBoost) are proposed in this paper to predict the SIF interaction impact ratio at the deepest point of the crack defect for pipelines with interacting corrosion and crack defects. Crack size, corrosion size and the axial distance between these two defects are the factors that have an impact on the growth of the fatigue crack, and so they are considered as the input of XGBoost models. Based on the synthetic samples from finite element modeling, it has been proved that the proposed approaches can effectively predict the SIF interaction impact ratio with relatively high accuracy. The crack propagation models are built based on the proposed XGBoost models, Paris’ law and corrosion growth model. Sensitivity analyses regarding corrosion initial depth and axial distance between defects are performed. The proposed method can support pipeline integrity management by linking the crack propagation model with corrosion size, crack size and the axial distance. The problem of how the interaction between corrosion and crack defects impacts crack defect growth is investigated.

show abstract

Structural integrity analysis of pipelines with interacting corrosion defects by multiphysics modeling

Cited by 29 publications

References 15 publications

Failure pressure prediction of corroded pipes under combined internal pressure and axial compressive force

Failure pressure prediction of corroded pipes under combined internal pressure and axial compressive force

A Review of Finite Element Analysis and Artificial Neural Networks as Failure Pressure Prediction Tools for Corroded Pipelines

A Crack Propagation Method for Pipelines with Interacting Corrosion and Crack Defects

Contact Info

Product

Resources

About