Finite element analyses of corroded pipeline with single defect subjected to internal pressure and axial compressive stress

Arumugam, Thibankumar; Karuppanan, Saravanan; Ovinis, Mark

doi:10.1016/j.marstruc.2020.102746

Cited by 54 publications

(30 citation statements)

References 24 publications

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“…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%

“…FEM is more accurate for the assessment of failure pressure in a corroded pipeline when compared to the conventional assessment standards [ 1 , 2 , 3 , 27 , 53 ]. However, FEM is time-consuming to carry out, and a comprehensive parametric study is computationally intensive [ 1 , 27 ].…”

Section: Integration Of Finite Element Methods and Artificial Neural Network As Residual Strength Prediction Toolmentioning

confidence: 99%

“…Transportation of hydrocarbons, often in fluid form, relies heavily on pipelines due to the large distances. Pipelines are preferred as they are the most cost-efficient and safe mode of transport for oil and natural gas [ 1 , 2 ]. It is crucial that a pipeline is always capable of withstanding the operating pressures of the transport system.…”

Section: Introductionmentioning

confidence: 99%

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

Kumar

Arumugam

et al. 2021

Materials

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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.

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

confidence: 99%

Section: Integration Of Finite Element Methods and Artificial Neural Network As Residual Strength Prediction Toolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Kumar

Arumugam

et al. 2021

Materials

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“…civil engineering, mechanics, and environmental protection. As shown by the latest publications [21], issues concerning damaged pipelines are constantly considered in order to obtain knowledge about changes in the material's structure and their impact on the safety of use and on the structure's load-bearing capacity.…”

Section: Introductionmentioning

confidence: 99%

Laboratory tests and analysis of CIPP epoxy resin internal liners used in pipelines – part II: comparative analysis with the use of the FEM and engineering algorithms

Abel

2021

Studia Geotechnica Et Mechanica

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In the case of underground network infrastructure it can be seen that objects functioning in the second technical condition, according to DWA-ATV 143-2, and subjected to rehabilitation with the use of close-fit trenchless technologies are capable of withstanding external loads. The main external load that is taken into account in engineering calculations in the case of conduits in the second technical condition is external groundwater pressure. In order to compare design parameters obtained with the use of various calculation methods, a comparative analysis was conducted in order to determine the values of critical pressure. The calculations were carried out using popular engineering algorithms. In addition, analyses using the Finite Element Method and Abaqus software as a computational tool were carried out for the purpose of verifying laboratory tests. This paper aims to broaden knowledge concerning the possibility of performing control numerical analyses for close-fit liners installed in pipelines that are in the second technical condition according to DWA-ATV 143-2. The analyses were carried out on ten 3D models. The models were parameterized in order to reflect the CIPP samples in the most accurate way. The computational models were built based on assumptions, which are commonly used in this type of scientific analysis, regarding material parameters and their interactions. The direct value of the performed engineering calculations and numerical analyses is the extension of knowledge in the field of strength parameters that are obtained by various material groups of close-fit liners. Comparative analysis of the results of laboratory tests and numerical analyses, and the conclusions that result from them, constitute the basis for the optimization of the design process and the individual approach to issues related to the use of liners that strengthen underground pipelines.

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“…There were many ways to monitor pipeline corrosion and leakage. Arumugamr et al [32] described the application of the finite element method (FEM) and the development of equations to predict the failure pressure of single corrosion affected pipelines subjected to internal pressure and axial compressive stress. Aniskin A et al [33] introduced the application of the boundary element method in the calculation of a closed cylindrical shell of stepped thickness, and compared it with two numerical methods: boundary and finite element.…”

Section: Introductionmentioning

confidence: 99%

A Case Study of Floating Offshore Super-Long Steel Pipeline Combing with Field Monitoring

Ren

Cai

et al. 2021

Applied Sciences

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How to control deformation and avoid resonance is the key to ensuring the safety of the super-long pipeline when it is floating in the sea. Based on the deformation warning value of pipeline prototype composite material obtained from laboratory tests, the raw water pipeline project in Tong’an Xiamen adopts wireless communication equipment to transmit data, supplemented by aerial photography technology to monitor and feedback the strain and vibration during the dynamic construction of long-distance pipeline floating transportation. Combined with dynamic construction, this monitoring method avoids excessive deformation and resonance of the steel pipeline during floating transportation, and prevents the destruction of the anticorrosive coating. The airtightness test after completion shows that the whole pipeline meets the acceptance requirements. The monitoring results show that the strain at the bent position of the pipeline is large in the process of floating transportation, and the jacking speed and position of the tugboats have an important influence on the deformation of the pipeline. The same type of project should focus on these aspects and timely feedback monitoring data. At the same time, the study also provides detailed strain, modal analysis and effective monitoring technology for the safety of offshore steel pipeline floating transportation.

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Finite element analyses of corroded pipeline with single defect subjected to internal pressure and axial compressive stress

Cited by 54 publications

References 24 publications

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

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

Laboratory tests and analysis of CIPP epoxy resin internal liners used in pipelines – part II: comparative analysis with the use of the FEM and engineering algorithms

A Case Study of Floating Offshore Super-Long Steel Pipeline Combing with Field Monitoring

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