Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
509858 | Computers & Structures | 1981 | 11 Pages |
Abstract
In the paper, an approach is described which permits the numerical, model-free prediction of uncertain time-dependent structural responses. Uncertain time-dependent structural actions and responses are modelled by means of fuzzy processes. The prediction approach is based on recurrent neural networks for fuzzy data trained by time-dependent results of measurements or numerical analyses. An efficient solution for network training and prediction is developed utilizing α-cuts and fuzzy arithmetic. The approach is verified using a fractional rheological model. The capability of the approach is demonstrated by predicting the long-term structural behaviour of reinforced concrete plates strengthened by textile reinforced concrete layers.
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Physical Sciences and Engineering
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Computer Science Applications
Authors
S. Freitag, W. Graf, M. Kaliske, J.-U. Sickert,