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 language | English |
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Title of host publication | Proceedings of the 24th Nordic Seminar on Computational Mechanics |
Publication date | 2011 |
Publication status | Published - 2011 |
Event | NSCM-24 - Helsinki, Finland Duration: 1 Jan 2011 → … |
Conference
Conference | NSCM-24 |
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City | Helsinki, Finland |
Period | 01/01/2011 → … |
Keywords
- Nonlinear structural dynamics
- Artificial neural networks