Long-term offshore Bohai bay Jacket strength assessment based on satellite wave data

This paper presents generic Monte Carlo-based approach, based on satellite wave data, for extreme response prediction of offshore structures, particularly Jacket type. An operating Jacket in Bohai bay was taken as an example to demonstrate proposed methodology. Satellite-based global wave statistics was used to obtain wave scatter diagram in the area of interest. Effects of second-order waves and sea current were taken into account. The detailed finite element Analysis System (ANSYS) model was employed to study non-linear Jacket dynamics, subject to hydrodynamic wave loads. Stresses in the most critical structural members were extracted and extreme value study was carried out. Proper extrapolation technique was applied to predict stresses with 10–50 year return periods, which is of practical interest for the design and operation of offshore structures.

• Record URL:
  • https://doi.org/10.1080/17445302.2018.1444346
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/17445302
• Supplemental Notes:
  • © 2018 Informa UK Limited, trading as Taylor & Francis Group 2018. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Gaidai, Oleg
  • Cheng, Yao
  • Xu, Xiaosen
  • Su, Yifan
• Publication Date: 2018-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 657-665
• Serial:
  • Ships and Offshore Structures
  • Volume: 13
  • Issue Number: 6
  • Publisher: Taylor & Francis
  • ISSN: 1744-5302
  • Serial URL: http://www.tandfonline.com/tsos20

Subject/Index Terms

• TRT Terms: Artificial satellites; Finite element method; Jacketing (Strengthening); Monte Carlo method; Offshore structures; Waves; Yield stress
• Uncontrolled Terms: Structural response
• Geographic Terms: Bohai Bay (China)
• Subject Areas: Bridges and other structures; Data and Information Technology; Design; Marine Transportation;

Filing Info

• Accession Number: 01676826
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 26 2018 5:08PM