OCEAN WAVE SIMULATION FOR ENGINEERING DESIGN

Abstract

Techniques for simulating ocean waves are most applicable when the response of the structure is complicated and perhaps involves other random environmental factors that may be introduced by concurrent simulations. The accuracy of the wave simulation is greatest for low amplitude waves and decreases for large steep waves. The degree of loss in accuracy for the higher and steeper waves deserves further research. Simulation techniques have the disadvantage of being time consuming and usually requiring the use of computers. Analytic solutions are to be preferred if feasible. Sometimes part of a problem can be solved analytically and then the intractable parts processed by simulation. A detailed search for shortcuts and approximations before proceeding with the actual simulation will often result in sizeable savings of computer time. The engineer will usually be forced to simulate with one- dimensional spectral densities because there are so few reliably measured two- dimensional spectral densities. The formulas for 2-D spectra were included in the hope that satisfactory directional data will soon be available. The linearization of the drag force, or its approximation by polynomials, is particularly useful in many problems.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1967
Accession Number
AD0662178

Entities

People

  • Leon E. Borgman

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Coastal Engineering
  • Computations
  • Computer Programs
  • Computers
  • Digital Filters
  • Engineering
  • Engineers
  • Frequency
  • New York
  • Ocean Waves
  • Random Variables
  • Seabed
  • Simulations
  • Statistical Distributions
  • Stochastic Processes
  • Two Dimensional
  • White Noise

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Systems Analysis and Design