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LDRD report nonlinear model reduction
Author(s) -
Daniel J. Segalman,
Martin W. Heinstein
Publication year - 1997
Language(s) - English
Resource type - Reports
DOI - 10.2172/527561
Subject(s) - nonlinear system , interface (matter) , reduction (mathematics) , computer science , linear model , mathematics , physics , machine learning , geometry , bubble , quantum mechanics , maximum bubble pressure method , parallel computing
The very general problem of model reduction of nonlinear systems was made tractable by focusing on the very large subclass consisting of linear subsystems connected by nonlinear interfaces. Such problems constitute a large part of the nonlinear structural problems encountered in addressing the Sandia missions. A synthesis approach to this class of problems was developed consisting of: detailed modeling of the interface mechanics; collapsing the interface simulation results into simple nonlinear interface models; constructing system models by assembling model approximations of the linear subsystems and the nonlinear interface models. These system models, though nonlinear, would have very few degrees of freedom. A paradigm problem, that of machine tool vibration, was selected for application of the reduction approach outlined above. Research results achieved along the way as well as the overall modeling of a specific machine tool have been very encouraging. In order to confirm the interface models resulting from simulation, it was necessary to develop techniques to deduce interface mechanics from experimental data collected from the overall nonlinear structure. A program to develop such techniques was also pursued with good success

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