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