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http://dx.doi.org/10.7734/COSEIK.2021.34.5.263

Reliability-Based Design Optimization of 130m Class Fixed-Type Offshore Platform  

Kim, Hyun-Seok (Alternative Fuels and Power System Research Division, KRISO)
Kim, Hyun-Sung (Offshore Platform Research Division, KRISO)
Park, Byoungjae (Offshore Platform Research Division, KRISO)
Lee, Kangsu (Offshore Platform Research Division, KRISO)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.34, no.5, 2021 , pp. 263-270 More about this Journal
Abstract
In this study, a reliability-based design optimization of a 130-m class fixed-type offshore platform, to be installed in the North Sea, was carried out, while considering environmental, material, and manufacturing uncertainties to enhance its structural safety and economic aspects. For the reliability analysis, and reliability-based design optimization of the structural integrity, unity check values (defined as the ratio between working and allowable stress, for axial, bending, and shear stresses), of the members of the offshore platform were considered as constraints. Weight of the supporting jacket structure was minimized to reduce the manufacturing cost of the offshore platform. Statistical characteristics of uncertainties were defined based on observed and measured data references. Reliability analysis and reliability-based design optimization of a jacket-type offshore structure were computationally burdensome due to the large number of members; therefore, we suggested a method for variable screening, based on the importance of their output responses, to reduce the dimension of the problem. Furthermore, a deterministic design optimization was carried out prior to the reliability-based design optimization, to improve overall computational efficiency. Finally, the optimal design obtained was compared with the conventional rule-based offshore platform design in terms of safety and cost.
Keywords
130m class fixed-type offshore platform; variable screening; uncertainty; reliability analysis; reliability-based design optimization;
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