WHOI Cable v2.0 : time domain numerical simulation of moored and towed oceanographic systems
Gobat, Jason I.
Grosenbaugh, Mark A.
MetadataShow full item record
This report describes version 2.0 of a numerical program for analyzing the statics and dynamics of cable structures commonly encountered in oceanographic engineering practice. The numerical program, WHOI Cable, features a nonlinear solver that includes the effects of geometric and material nonlinearities, bending stiffness for seamless modeling of slack cables, and a model for the interaction of cable segments with the seafloor. The program solves both surface and subsurface single- and multi-point mooring problems, systems with both ends anchored on the bottom, and towing and drifter problems. Forcing includes waves, current, wind, ship speed, and pay-out of cable. The programs that make-up WHOI Cable run under Unix and Windows. There is familiar graphical interface available for Windows platforms. The report includes detailed instructions for formulating problem input files and running the programs.
Showing items related by title, author, creator and subject.
Astrophysical and geophysical flows as dynamical systems : 1998 summer study program in Geophysical Fluid Dynamics Balmforth, Neil J. (Woods Hole Oceanographic Institution, 1999-01)The theme of the 1998 Geophyscial Fluid Dynamics (GFD) summer program at the Woods Hole Oceanographic Institution was Astrophysical and Geophysical Flows as Dynamical Systems. Antonello Provenzale of the Institute of ...
Deeply-towed underwater vehicle systems : a verified analytical procedure for creating parameterized dynamic models Hover, Franz S. (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1989-08)The dynamics of deeply-towed cable/vehicle systems are governed by nonlinear partial differential equations and as a result, trajectory control is generally difficult using the available techniques. This work examines ...
Huang, He (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1994-05)This thesis compares classical nonlinear control theoretic techniques with recently developed neural network control methods based on the simulation and experimental results on a simple electromechanical system. The ...