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Managing Information Uncertainty in Wave Height Modeling for the Offshore Structural Analysis through Random Set

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Listed:
  • Keqin Yan
  • Yi Zhang
  • Tao Cheng
  • Xianfeng Luo
  • Quan Zhou
  • Kun Fang
  • Ankit Garg
  • Akhil Garg

Abstract

This chapter presents a reliability study for an offshore jacket structure with emphasis on the features of nonconventional modeling. Firstly, a random set model is formulated for modeling the random waves in an ocean site. Then, a jacket structure is investigated in a pushover analysis to identify the critical wave direction and key structural elements. This is based on the ultimate base shear strength. The selected probabilistic models are adopted for the important structural members and the wave direction is specified in the weakest direction of the structure for a conservative safety analysis. The wave height model is processed in a P-box format when it is used in the numerical analysis. The models are applied to find the bounds of the failure probabilities for the jacket structure. The propagation of this wave model to the uncertainty in results is investigated in both an interval analysis and Monte Carlo simulation. The results are compared in context of information content and numerical accuracy. Further, the failure probability bounds are compared with the conventional probabilistic approach.

Suggested Citation

  • Keqin Yan & Yi Zhang & Tao Cheng & Xianfeng Luo & Quan Zhou & Kun Fang & Ankit Garg & Akhil Garg, 2017. "Managing Information Uncertainty in Wave Height Modeling for the Offshore Structural Analysis through Random Set," Complexity, Hindawi, vol. 2017, pages 1-13, August.
    • Handle: RePEc:hin:complx:9546272
    DOI: 10.1155/2017/9546272
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    1. Zhang, Yi & Lam, Jasmine Siu Lee, 2016. "Estimating economic losses of industry clusters due to port disruptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 17-33.
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