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aboutwafo

PURPOSE ^

WAFO is a Matlab toolbox for analysis of random waves

SYNOPSIS ^

This is a script file.

DESCRIPTION ^

 ABOUTWAFO  WAFO is a Matlab toolbox for analysis of random waves
 
  WAFO (Wave Analysis for Fatigue and Oceanography) is a toolbox of
  Matlab routines for statistical analysis and simulation of random waves 
  and random loads, and for calculation of the theoretical distributions
  related to the wave structure.
 
  The toolbox contains libraries and demonstration files, referring to
  papers, i.e. scripts for comparison of results in the litterature or
  generation of plots in recent publications. For modelling purposes
  within oceanography, families of common spectra and spreading functions 
  are implemented.
 
  For the modelling of sea waves, an important class of processes are
  stationary Gaussian processes with known spectral density. For these it 
  is possible to calculate the theoretical distribution of wave
  characterisics, e.g probability density for wave length or joint
  probability density for wave length and amplitude. Some routines handle 
  the case with random fields, taking dynamics of the sea into
  account. WAFO also contains algorithms for modelling with transformed
  Gaussian processes.
 
  An important part of WAFO are routines related to random loads and
  fatigue. For a random load, rainflow cycles can be extracted and the
  expected rainflow matrix can be calculated. Additional routines for
  more complex models, e.g model involving switching Markov chains of
  turning points, are also found.
 
  See also  docs

CROSS-REFERENCE INFORMATION ^

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SOURCE CODE ^

001 %ABOUTWAFO  WAFO is a Matlab toolbox for analysis of random waves
002 %
003 % WAFO (Wave Analysis for Fatigue and Oceanography) is a toolbox of
004 % Matlab routines for statistical analysis and simulation of random waves 
005 % and random loads, and for calculation of the theoretical distributions
006 % related to the wave structure.
007 %
008 % The toolbox contains libraries and demonstration files, referring to
009 % papers, i.e. scripts for comparison of results in the litterature or
010 % generation of plots in recent publications. For modelling purposes
011 % within oceanography, families of common spectra and spreading functions 
012 % are implemented.
013 %
014 % For the modelling of sea waves, an important class of processes are
015 % stationary Gaussian processes with known spectral density. For these it 
016 % is possible to calculate the theoretical distribution of wave
017 % characterisics, e.g probability density for wave length or joint
018 % probability density for wave length and amplitude. Some routines handle 
019 % the case with random fields, taking dynamics of the sea into
020 % account. WAFO also contains algorithms for modelling with transformed
021 % Gaussian processes.
022 %
023 % An important part of WAFO are routines related to random loads and
024 % fatigue. For a random load, rainflow cycles can be extracted and the
025 % expected rainflow matrix can be calculated. Additional routines for
026 % more complex models, e.g model involving switching Markov chains of
027 % turning points, are also found.
028 %
029 % See also  docs 
030 
031 % Reference
032 % Brodtkorb, P.A, and Johannesson, P and Lindgren, G. and  Rychlik, I. and
033 %  Ryden,R and Sj\"o, E (2000)
034 % "WAFO - a Matlab toolbox for analysis of random waves"
035 % To appear in the Proceedings of the 10th ISOPE Conference
036 
037 
038 % History
039 % by pab et.al. 21.01.2000
040 
041 more  on
042 help aboutwafo
043 more off
044 
045 
046 %function aboutwafo

Mathematical Statistics
Centre for Mathematical Sciences
Lund University with Lund Institute of Technology

Comments or corrections to the WAFO group


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