2018
DOI: 10.1016/j.euromechsol.2017.10.002
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Shakedown, ratchet, and limit analyses of 90° back-to-back pipe bends under cyclic in-plane opening bending and steady internal pressure

Abstract: A 90° back-to-back pipe bend structure subjected to cyclic in-plane bending moment and steady internal pressures is analysed by means of the Linear Matching Method (LMM) in order to create the limit, shakedown, and ratchet boundaries. The analyses performed in this work demonstrate that the cyclic moment has a more significant impact upon the structural integrity of the pipe bend than the constant pressure. Full cyclic incremental analyses are used to verify the structural responses either side of each boundar… Show more

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Cited by 24 publications
(14 citation statements)
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“…Journal . Compared to the previous study [18], cyclic out-of-plane bending generates a larger elastic shakedown limit boundary but smaller reverse plasticity zone.…”
Section: Accepted Manuscript N O T C O P Y E D I T E Dcontrasting
confidence: 80%
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“…Journal . Compared to the previous study [18], cyclic out-of-plane bending generates a larger elastic shakedown limit boundary but smaller reverse plasticity zone.…”
Section: Accepted Manuscript N O T C O P Y E D I T E Dcontrasting
confidence: 80%
“…Journal ratchet limit boundary as a conservative manner. It is noteworthy that the previous study [18] shows that the pipe system under cyclic in-plane bending has a completely different shape of the shakedown limit boundary from the one under cyclic out-of-plane bending. The cyclic in-plane bending produced the boundary which is very similar to Bree-like diagram with large margins between the limit load and the shakedown boundaries.…”
Section: Accepted Manuscript N O T C O P Y E D I T E Dmentioning
confidence: 76%
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“…Quadratic relationships between RPIP and the bend characteristic h are derived for a single pipe elbow [7]. Recently Cho and Chen introduced a correlation between RPIP and LP with h for the same back-to-back pipe bends being used in this paper [16]. Utilizing the Quadratic Regression method, two quadratic equations between RPOP and h and between RT and h are developed.…”
Section: Quadratic Relationshipsmentioning
confidence: 99%