scholarly journals Effects of Redundancy in Bracing Systems on the Fragility Curve Development of Steel Jacket Offshore Platform

2019 ◽  
Vol 23 (1) ◽  
pp. 123-133 ◽  
Author(s):  
Md Samdani Azad ◽  
Wonsiri Punurai ◽  
Chana Sinsabvarodom ◽  
Pornpong Asavadorndeja
2014 ◽  
Vol 610 ◽  
pp. 78-83
Author(s):  
Ji Gang Zhang ◽  
Zhi Wei Jiang

Offshore platform rocking wall system and tuned mass damper are briefly introduced, and the paper integrates the advantages of these two kinds of seismic method, and the TMD is attached to the jacket offshore platform - rocking wall system, using the ANSYS for finite element analysis, and the analysis results are optimized. The results show that compared with the offshore platform - rocking wall system, additional TMD can give full play to the performances of the two kinds of seismic methods, which is remarkable.


2010 ◽  
Vol 163-167 ◽  
pp. 3023-3028
Author(s):  
Qing Zhi Yan ◽  
Zhan Zhang ◽  
Liang Cui ◽  
Yan Hua Wang

Jacket Offshore Platform is a complex statically indeterminate structure, reliability of which is impacted by many factors, and the earthquake is a main factor. This paper simplify the significant failure mode of Jacket Offshore Platform by standard. Calculate the reliability of Jacket Offshore Platform under the effect of earthquake with the Monte Carlo method based on ANSYS. The result can provide evidence for safety assessment of Jacket Offshore Platform.


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Yaojin Bao ◽  
He Xia ◽  
Zhenming Bao ◽  
Shuiping Ke ◽  
Yahui Li

Structure of offshore platform is very huge, which is easy to be with crack caused by a variety of environmental factors including winds, waves, and ice and threatened by some unexpected factors such as earthquake, typhoon, tsunami, and ship collision. Thus, as a main part of the jacket offshore platform, pipe is often with crack. However, it is difficult to detect the crack due to its unknown location. Genetic algorithm (GA) and SCE-UA algorithm are used to detect crack in this paper, respectively. In the experiment, five damages of the pipe in the platform model can be intelligently identified by genetic algorithm (GA) and SCE-UA. The network inputs are the differences between the strain mode shapes. The results of the two algorithms for structural damage diagnosis show that both of the two algorithms have high identification accuracy and good adaptability. Furthermore, the error of SCE-UA algorithm is smaller. The results also suggest that the structural damage of pipe can be identified by intelligent algorithm.


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