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

- aboutwafo

WAFO is a Matlab toolbox for analysis of random waves |

- aboutwafo

WAFO is a Matlab toolbox for analysis of random waves |

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

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