A benchmarking exercise for environmental contours

OCEAN ENGINEERING

卷:236

Article

Haselsteiner, Andreas F.¹  Coe, Ryan G.²  Manuel, Lance³  Chai, Wei⁴  Leira, Bernt⁵  Clarindo, Guilherme⁶  Soares, C. Guedes⁶  Hannesdottir, Asta⁷  Dimitrov, Nikolay⁷  Sander, Aljoscha¹  Ohlendorf, Jan-Hendrik¹  Thoben, Klaus-Dieter¹  de Hauteclocque, Guillaume⁸  Mackay, Ed⁹  Jonathan, Philip^10,11  Qiao, Chi¹²  Myers, Andrew¹²  Rode, Anna¹³  Hildebrandt, Arndt¹³  Schmidt, Boso¹³  Vanem, Erik^14,15  Huseby, Arne Bang¹⁵ 

[1] Univ Bremen, Bremen, Germany

[2] Sandia Natl Labs, POB 5800, Albuquerque, NM 87185 USA

[3] Univ Texas Austin, Austin, TX 78712 USA

[4] Wuhan Univ Technol, Sch Transportat, Wuhan, Peoples R China

[5] Norwegian Univ Sci & Technol, Dept Marine Technol, Trondheim, Norway

[6] Univ Lisbon, Ctr Marine Technol & Ocean Engn CENTEC, Inst Super Tecn, Lisbon, Portugal

[7] Tech Univ Denmark, Wind Energy Dept, Roskilde, Denmark

[8] Bur Veritas, Paris, France

[9] Univ Exeter, Exeter, Devon, England

[10] Shell Res Ltd, London, England

[11] Univ Lancaster, Dept Math & Stat, Lancaster, England

[12] Northeastern Univ, Boston, MA 02115 USA

[13] Leibniz Univ Hannover, Hannover, Germany

[14] DNV GL, Hovik, Norway

[15] Univ Oslo, Oslo, Norway

关键词: Environmental contour;    Metocean extremes;    Joint distribution;    Extreme response;    Structural reliability;   

DOI  :  10.1016/j.oceaneng.2021.109504

来源: Elsevier

【 摘 要 】

Environmental contours are used to simplify the process of design response analysis. A wide variety of contour methods exist; however, there have been a very limited number of comparisons of these methods to date. This paper is the output of an open benchmarking exercise, in which contributors developed contours based on their preferred methods and submitted them for a blind comparison study. The exercise had two components- one, focusing on the robustness of contour methods across different offshore sites and, the other, focusing on characterizing sampling uncertainty. Nine teams of researchers contributed to the benchmark. The analysis of the submitted contours highlighted significant differences between contours derived via different methods. For example, the highest wave height value along a contour varied by as much as a factor of two between some submissions while the number of metocean data points or observations that fell outside a contour deviated by an order of magnitude between the contributions (even for contours with a return period shorter than the duration of the record). These differences arose from both different joint distribution models and different contour construction methods, however, variability from joint distribution models appeared to be higher than variability from contour construction methods.

【 授权许可】

Free