Analysis of Wave Characteristics in Extreme Seas

Abstract

Results from three studies concerning identification and characterization of extreme waves in storm driven seaways are presented. Methods and results using time-series wave height data from hurricane Camille are illustrated. Task 1 demonstrated the utility of the half-cycle matrix (HAYCM) method in analyzing nonlinear time-series data. Task 2 involved wave making experiments where the Camille nonlinear wave spectrum was replicated. Task 3 using second order wave-wave interaction theory, provided a nonlinear time domain wave height model conforming to the Camille nonlinear wave spectrum. In Task 1, the HAYCM analysis of input and output realizations from Dalzell's nonlinear simulation model showed that this analysis method provides a clear indication of the nonlinearity of a time series random variable. In Task 2, the nonlinearity of waves generated in two different towing tanks approached that of the original Camille seaway when the wave spectrum was approximated by mechanically generated waves. In Task 3, while numerically modeled hurricane Camille time series showed somewhat less nonlinearity than the original time series data, the flattening of wave troughs and elevations of crests due to nonlinear wave-wave interaction was realistic.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1991
Accession Number
ADA234538

Entities

People

  • William H. Buckley

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Actuators
  • Birds
  • Computational Science
  • Computer Programs
  • Computers
  • Data Analysis
  • Databases
  • Differential Equations
  • Distribution Functions
  • Gaussian Processes
  • Mathematical Models
  • Mechanics
  • Monte Carlo Method
  • Naval Architecture
  • Operating Systems
  • Random Variables
  • Three Dimensional

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Modeling and Simulation
  • Emergency Management and Homeland Security.