Study on the Test of Fatigue Life Prediction for X80 Line Pipe

2014 ◽  
Vol 692 ◽  
pp. 387-390
Author(s):  
Qiu Rong Ma ◽  
Yang Li ◽  
Kun Yang

This paper researched the test of fatigue crack propagation of grade X80 submerged arc welded pipes. According to the test results, analyzed and calculated the fatigue life of submerged arc welded pipes for X80 with half elliptical crack defects at the simulated work condition of shutdown. On a single simulated work condition, the fatigue life of submerged arc welded pipes for X80 with Ф1219×22.0mm is 62 years, which had enough safety margin for fatigue life.

Author(s):  
W-C Cui

Marine structures such as ships and offshore platforms are designed with damage tolerance. This requires accurate prediction of fatigue crack growth under service conditions. Current fatigue strength assessment methods for marine structures are largely based on the cumulative fatigue damage (CFD) theory using stress-endurance (S-N) curves. The effects of initial defects and the load sequence have been neglected. The extent of final fatigue failure in real structures is also not specified. These result in a large scatter of the predicted fatigue lives. In the fatigue community, more and more researchers have realized that fatigue crack propagation (FCP) theory could overcome these deficiencies and has the potential to explain various fatigue phenomena observed. In this paper, a feasible study of fatigue life prediction for marine structures based on FCP theory is carried out. The basic requirements and the general procedure for such an analysis are addressed. The feasibility of this procedure and the capabilities of FCP theory for fatigue life prediction are demonstrated using a simple example of a finite width plate with a centre crack subjected to remote uniform fatigue loading. The key problems to be solved for a practical implementation are also discussed.


Materials ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1587 ◽  
Author(s):  
Krzysztof Kluger ◽  
Aleksander Karolczuk ◽  
Szymon Derda

This study presents the life-dependent material parameters concept as applied to several well-known fatigue models for the purpose of life prediction under multiaxial and non-zero mean loading. The necessity of replacing the fixed material parameters with life-dependent parameters is demonstrated. The aim of the research here is verification of the life-dependent material parameters concept when applied to multiaxial fatigue loading with non-zero mean stress. The verification is performed with new experimental fatigue test results on a 7075-T651 aluminium alloy and S355 steel subjected to multiaxial cyclic bending and torsion loading under stress ratios equal to R = −0.5 and 0.0, respectively. The received results exhibit the significant effect of the non-zero mean value of shear stress on the fatigue life of S355 steel. The prediction of fatigue life was improved when using the life-dependent material parameters compared to the fixed material parameters.


2014 ◽  
Vol 628 ◽  
pp. 137-141
Author(s):  
Xian Lei Meng

Defects have great influence on the safe running of pressure vessels, and the safty assessment for in-service pressure vessels containing defects can realize safe and economical operation of presure vessles.Aiming at the fatigue assement of defect in steel pressure vessels,the fatigue assement method is studied and a primary program can be uesd to calculate fatigue crack propagation and life prediction is programed based on GB19624.The comparison between test and calculated results indicates that the method provided is suitable for fatigue assessment of defects.Combining the test results and cricical conditonds, the presient approach can provide a basis for the fatigue safety assessment and the reasonable overhaul cycle of in-service pressure vessels.


2008 ◽  
Vol 45 (6) ◽  
pp. 669-678 ◽  
Author(s):  
Kyung-Su Kim ◽  
Hisashi Ito ◽  
Yong-Seok Seo ◽  
Beam-Sean Jang ◽  
Beam-Il Kim ◽  
...  

2018 ◽  
Vol 199 ◽  
pp. 29-40 ◽  
Author(s):  
Shen Ye ◽  
Cheng-Cheng Zhang ◽  
Peng-Yue Zhang ◽  
Xian-Cheng Zhang ◽  
Shan-Tung Tu ◽  
...  

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