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Journal of Ocean University of China

, Volume 19, Issue 1, pp 47–59 | Cite as

System Reliability Analysis of an Offshore Jacket Platform

  • Yuliang Zhao
  • Sheng DongEmail author
  • Fengyuan Jiang
  • Carlos Guedes Soares
Article
  • 6 Downloads

Abstract

This study investigates strategies for solving the system reliability of large three-dimensional jacket structures. These structural systems normally fail as a result of a series of different components failures. The failure characteristics are investigated under various environmental conditions and direction combinations. The β-unzipping technique is adopted to determine critical failure components, and the entire system is simplified as a series-parallel system to approximately evaluate the structural system reliability. However, this approach needs excessive computational effort for searching failure components and failure paths. Based on a trained artificial neural network (ANN), which can be used to approximate the implicit limit-state function of a complicated structure, a new alternative procedure is proposed to improve the efficiency of the system reliability analysis method. The failure probability is calculated through Monte Carlo simulation (MCS) with Latin hypercube sampling (LHS). The features and applicability of the above procedure are discussed and compared using an example jacket platform located in Chengdao Oilfield, Bohai Sea, China. This study provides a reference for the evaluation of the system reliability of jacket structures.

Key words

system reliability jacket platform β-unzipping technique artificial neural network latin hypercube sampling response Surface 

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Notes

Acknowledgements

The study was supported by the National Natural Science Foundation of China (No. 51779236), the NSFC- Shandong Joint Fund Project (No. U1706226), and the National Key Research and Development Program (No. 2016YFC 0303401).

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Copyright information

© Ocean University of China, Science Press and Springer-Verlag GmbH Germany 2020

Authors and Affiliations

  • Yuliang Zhao
    • 1
  • Sheng Dong
    • 1
    Email author
  • Fengyuan Jiang
    • 1
  • Carlos Guedes Soares
    • 2
  1. 1.College of EngineeringOcean University of ChinaQingdaoChina
  2. 2.Centre for Marine Technology and Ocean Engineering (CENTEC)Instituto Superior TécnicoLisboaPortugal

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