Development of Environmental Contours for Circular and Linear Metocean Variables

Zohreh Sadat Haghayeghi, Mohammad Javad Ketabdari

Abstract


Probabilistic structural analysis of offshore structures is a demanding task due to high number of environmental variables and their uncertainties. Thus methods that reduce the computational effort are always welcomed and the environmental contours method is one of these favorite methods. But almost all the developed environmental contours method are limited to combination of linear metocean variables. Because of importance of design wave and wind direction especially in coastal and nearshore areas, this research is concentrated on development of environmental contours for combinations of circular and linear variables. These contours are derived from the Nataf transformation based approach and conditional modelling approach (CMA). In this paper the CMA was modified to be suitable for circular-linear variables. The circular variable is assumed to be the independent one and a mixture of von-Mises distributions was fitted to it. Linear variables were distributed conditionally on the circular variable. The regression between the distribution parameters and circular variable was set by Fourier series. Then, the Nataf- based model was applied to compare the results. The comparison shows that environmental contours based on the CMA illustrate the wave directionality effect much better than the Nataf-based model.

 


Keywords


Persian Gulf Data; Inverse FORM; Circular-Linear Regression; Multivariate Analysis

Full Text:

PDF

References


Winterstein, S.R., et al. Environmental parameters for extreme response: Inverse FORM with omission factors. in ICOSSAR-93. 1993. Innsbruck, Austria.

Haver, S. and G. Kleiven. Environmental contour lines for design purposes – Why and when? in 23rd International Conference on Offshore Mechanics and Arctic Engineering, PranticeOAME04. 2004. Vancouver, British Columbia, Canada.

Saranyasoontorn, K. and L. Manuel, Design loads for wind turbines using the environmental contour method. Solar energy engineering, 2006. 28: p. 554-561.

Fontaine, E., et al., Reliability analysis and response based design of a moored FPSO in West Africa. Structural Safety, 2013. 41: p. 82-96.

Bitner-Gregersen, E.M., Joint met-ocean description for design and operations of marine structures. Applied Ocean Research, 2015. 51: p. 279-292.

Valamanesh, V., A.T. Myers, and S.R. Arwade, Multivariate analysis of extreme metocean conditions for offshore wind turbines. Structural Safety, 2015. 55: p. 60-69.

Madsen, H.O., s. Krenk, and N.C. Lind, Methods of structural safety. 1986, NewPrentice-Hall.

Baarholm, G.S., S. Haver, and C.M. Larsen. Wave sector dependent contour lines. in Proceedings of the 26th International Conference on Offshore Mechanics and Arctic Engineering-OMAE2007. 2007. San Diego, California, USA.

Johannessen, K., T.S. Meling, and S. Haver. Joint distribution for wind and waves in the northern north sea. in Eleventh International Offshore and Polar Engineering Conference. 2001. Stavanger, Norway.

Silva-Gonzalez, F., E. Heredia-Zavoni, and R.Montes-Iturrizaga, Development o of environmental contours using Nataf distribution model. Ocean Engineering, 2013. 58: p. 27-34.

Jammalamadaka, S.R. and A. SenGupta, Topics in circular statistics. Series on Multivariate analysis. 2001, Singapore: World Scientific.

Pewsey, A., M. Neuhäuser, and G.D. Ruxton, Circular Statistics in R. 2013: Oxford university press.

Hornik, K. and B. Grun, movMF: An R Package for Fitting Mixtures of von Mises-Fisher Distributions. journal of statistical software, 2014. 58(10).

Haver, S. and K.A. Nyhus. A wave climate description for long-term response calculations. in International Offshore Mechanics and Arctic Engineering Symposium. 1986.




DOI (PDF): https://doi.org/10.20508/ijrer.v7i2.5579.g7048

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE between 2020-2022; 

h=30,

Average citation per item=5.73

Impact Factor=(1638+1731+1808)/(189+170+221)=9.24

Category Quartile:Q4