2018
DOI: 10.1016/j.marstruc.2017.10.010
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Experimental and numerical analyses of the ultimate compressive strength of perforated offshore tubular members

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Cited by 23 publications
(11 citation statements)
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“…= 1.26 − 30.69 (9) where RV was the ratio of net damaged volume to total volume in the corroded area, and RSc was the percentage of residual compressive strength compared with the original strength. As for the test specimens studied herein, the RV can be attained by RV = 100-DOV in terms of the DOV decided by Eq.…”
Section: Prediction Of Ultimate Strengthmentioning
confidence: 99%
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“…= 1.26 − 30.69 (9) where RV was the ratio of net damaged volume to total volume in the corroded area, and RSc was the percentage of residual compressive strength compared with the original strength. As for the test specimens studied herein, the RV can be attained by RV = 100-DOV in terms of the DOV decided by Eq.…”
Section: Prediction Of Ultimate Strengthmentioning
confidence: 99%
“…It is vital to model the irregular morphology of corrosion damage for ultimate strength assessment. However, the cost of corrosion inspection makes it unrealistic to obtain detailed mapping of actual corrosion, although many nondestructive measurement methods such as gamma rays and ultrasonic testing exist [9]. There is no adequate information to determine strength of corroded tubular members for inclusion of requirements in the International Standard [10].…”
Section: Introductionmentioning
confidence: 99%
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“…A common practice to describe imperfect geometries in numerical models, when as-built manufacture data are unavailable, is to assume a linear combination of some of the first structure's eigenvectors to promote a failure initiation [8], for example. Several authors such as Gates [9], Rigo et al [10], Lueke et al [11] and Vaz et al [12], just to mention a few, have confirmed that the shape and the magnitude of initial imperfections may significantly affect the response predictions for structures' behavior.…”
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confidence: 98%
“…Vaz et al (2018) used three-dimensional laser scanning and ultrasonic thickness measurements andZhao et al (2018) used the three-dimensional digital image correlation method.…”
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confidence: 99%