Prediction Model of Strain for Pipelines in Service with Dent Defect

Jian-bo QI , Jian-zhang GAO , Tong-da LIU , Guo-zhi JIANG , Jing-jun XI , Zeng-cai LI , Yu-guang CAO , Yu WANG

Science Technology and Engineering ›› 2024, Vol. 24 ›› Issue (29) : 12541 -12550.

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Science Technology and Engineering ›› 2024, Vol. 24 ›› Issue (29) : 12541-12550 DOI: 10.12404/j.issn.1671-1815.2304774
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Prediction Model of Strain for Pipelines in Service with Dent Defect
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Abstract

It is very important to accurately predict the strain of dented pipelines accurately for the safety evaluation of pipelines in service with dent defect. However, the strain prediction formula of dented pipe in existing American Society of Mechanical Engineering (ASME) standard neglects the influence of internal pressure on the strain of pipe. Therefore, a finite element model of dented pipe was established with internal pressure load, the influence of indenter radius, material property, pipe internal pressure, pipe wall thickness and pipe diameter on the maximum equivalent plastic strain () of the pipe at different dent depths were studied, a strain prediction model for pipelines in service with dent defect was proposed. The results show that when the relative dent defect depth is 6%, the internal pressure of the pipeline increases from 0 MPa to 8 MPa, and the increase rate is 50.26%. The average error of prediction model is 5.32% compared with the result of the finite element model. The maximum error and minimum error are 12.51% and 4.74% compared with the result of test results in the literature. The prediction model provides some reference for safety evaluation of pipeline in service.

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pipeline dent / pipeline in service / equivalent plastic strain / prediction equation / safety assessment

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Jian-bo QI, Jian-zhang GAO, Tong-da LIU, Guo-zhi JIANG, Jing-jun XI, Zeng-cai LI, Yu-guang CAO, Yu WANG. Prediction Model of Strain for Pipelines in Service with Dent Defect. Science Technology and Engineering, 2024, 24(29): 12541-12550 DOI:10.12404/j.issn.1671-1815.2304774

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