Estimating ocean wave directional spreading from an Eulerian surface elevation time history

T. A.A. Adcock, P. H. Taylor

Research output: Contribution to journalArticlepeer-review

Abstract

The directional spreading of sea states is an important design parameter in offshore engineering. Wave directionality affects the resulting wave kinematics, which affects the forces exerted on offshore structures. In this paper, we develop a method for estimating the amount of spreading, when the only information available is the time history of free surface elevation at a single point in space. We do this by predicting the second-order bound waves that occur at the difference in frequency of two freely propagating waves. The magnitude of these second-order bound waves is a function of the angle between the interacting waves. Thus, it is possible to infer some information about spreading from a single-point time history. We demonstrate that this approach works for wave groups in a fully nonlinear numerical wave tank. We create a synthetic random sea state and introduce noise into the analysis and thus show that our approach is robust and insensitive to noise, even with a signalto-noise ratio of unity in the difference waves. This approach is also applied to random waves in a physical wave tank where spreading was directly measured and also to a storm recorded in the North Sea. In all cases, we find our estimate of spreading is in good agreement with other measurements.

Original languageEnglish
Pages (from-to)3361-3381
Number of pages21
JournalProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume465
Issue number2111
DOIs
Publication statusPublished - 8 Nov 2009
Externally publishedYes

ASJC Scopus subject areas

  • General Mathematics
  • General Engineering
  • General Physics and Astronomy

Keywords

  • Directional spreading
  • Eulerian
  • Ocean
  • Second-order difference
  • Water wave

Fingerprint

Dive into the research topics of 'Estimating ocean wave directional spreading from an Eulerian surface elevation time history'. Together they form a unique fingerprint.

Cite this