SIMBAT Theoretical Manual

Abstract

This manual develops the theory of the Conditional Ocean Wave Simulation Model (SIMBAT). SIMBAT is a high performance FORTRAN F77 based computer model that uses the Fast Fourier Transform (FFT) to produce ocean wave properties for ocean engineering applications. The model assumes the wave properties form a Gaussian stochastic process. SIMBAT may be used to perform a conditional or unconditional simulation. A conditional simulation uses a measured or existing input time series and forces the simulated wave properties to adhere to the input time series but also follow the laws of multivariate normal probability. An unconditional simulation uses a measured or created ocean wave spectra to randomly simulate the ocean wave properties. Program features include: creation of directional ocean wave spectra, water particle kinematic stretching, conditioning time series using an input time series less than or equal to the simulation length, use of Legendre orthogonal polynomials for post- creation of wave properties by program CKPOLY, and error checking. Ocean waves, Wave forces, Ocean wave properties, Ocean spectra, Water particle kinematic stretching.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1993
Accession Number
ADA271063

Entities

People

  • David R. Shields
  • Leon E. Borgman
  • Warren A. Bartel

Organizations

  • Naval Facilities Engineering Service Center

Tags

Communities of Interest

  • Counter WMD
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Civil Engineering
  • Coastal Engineering
  • Computational Science
  • Computer Programs
  • Computers
  • Coordinate Systems
  • Databases
  • Distribution Functions
  • Engineering
  • Engineers
  • Fast Fourier Transforms
  • Ocean Waves
  • Probability
  • Random Variables
  • Simulations
  • Stochastic Processes
  • Two Dimensional

Readers

  • Approximation Theory.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computer Science.