Artificial Neural Networks for Nonlinear Dynamic Response Simulation in Mechanical Systems

Niels Hørbye Christiansen, Jan Becker Høgsberg, Ole Winther

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Abstract

It is shown how artificial neural networks can be trained to predict dynamic response of a simple nonlinear structure. Data generated using a nonlinear finite element model of a simplified wind turbine is used to train a one layer artificial neural network. When trained properly the network is able to perform accurate response prediction much faster than the corresponding finite element model. Initial result indicate a reduction in cpu time by two orders of magnitude.
Original languageEnglish
Title of host publicationProceedings of the 24th Nordic Seminar on Computational Mechanics
Publication date2011
Publication statusPublished - 2011
EventNSCM-24 - Helsinki, Finland
Duration: 1 Jan 2011 → …

Conference

ConferenceNSCM-24
CityHelsinki, Finland
Period01/01/2011 → …

Keywords

  • Nonlinear structural dynamics
  • Artificial neural networks

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