View in EDS

Model-free environmental contours in higher dimensions.

Saved in:
Bibliographic Details
Title: Model-free environmental contours in higher dimensions.
Authors: Mackay, Ed1 (AUTHOR) e.mackay@exeter.ac.uk, de Hauteclocque, Guillaume2 (AUTHOR) guillaume.de-hauteclocque@bureauveritas.com
Source: Ocean Engineering. Apr2023, Vol. 273, pN.PAG-N.PAG. 1p.
Subjects: Wind waves, Accounting methods, Wind turbines, Source code, Surface waves (Seismic waves), Univariate analysis, Wind speed
Abstract: This paper presents a method for estimating environmental contours in an arbitrary number of dimensions. The method, referred to as Direct-IFORM, does not require a model for the joint distribution of the variables. It can therefore be applied in higher dimensions without degradation in performance. The method involves multiple univariate analyses under rotations of the axes to estimate return values in various directions, which are used to form a contour. The method accounts for serial correlation in the observations, which removes the positive bias that occurs when this is neglected. An efficient open-source code is provided for estimating Direct-IFORM contours. A four-dimensional example is presented for contours of wind speed, wave height, wave period and wind-wave misalignment direction. The application of the method to the design of offshore wind turbines is discussed. • Method presented for estimating contours without need to fit joint distribution. • Method applicable in higher dimensions without degradation in performance. • Method accounts for serial correlation in observations, reducing positive bias. • Open source code in MATLAB and Python provided for estimating Direct-IFORM contours. • Example presented for 4-dimensional contours of wind and wave parameters. [ABSTRACT FROM AUTHOR]
Copyright of Ocean Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:This paper presents a method for estimating environmental contours in an arbitrary number of dimensions. The method, referred to as Direct-IFORM, does not require a model for the joint distribution of the variables. It can therefore be applied in higher dimensions without degradation in performance. The method involves multiple univariate analyses under rotations of the axes to estimate return values in various directions, which are used to form a contour. The method accounts for serial correlation in the observations, which removes the positive bias that occurs when this is neglected. An efficient open-source code is provided for estimating Direct-IFORM contours. A four-dimensional example is presented for contours of wind speed, wave height, wave period and wind-wave misalignment direction. The application of the method to the design of offshore wind turbines is discussed. • Method presented for estimating contours without need to fit joint distribution. • Method applicable in higher dimensions without degradation in performance. • Method accounts for serial correlation in observations, reducing positive bias. • Open source code in MATLAB and Python provided for estimating Direct-IFORM contours. • Example presented for 4-dimensional contours of wind and wave parameters. [ABSTRACT FROM AUTHOR]
ISSN:00298018
DOI:10.1016/j.oceaneng.2023.113959