Large Deformation Prediction and Feedback for a Reservoir Slope near a Large-Scale Hydropower Station in the Upstream of Yellow River
This paper analyzes the deformation features and possible “true” displacements of a reservoir slope near the Laxiwa hydropower station in the upstream of Yellow River using the neural network. The error correction is also discussed for the results calculated by the neural network. The displacement p...
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Published in | Applied Mechanics and Materials Vol. 90-93; pp. 1684 - 1690 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
01.09.2011
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Subjects | |
Online Access | Get full text |
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Summary: | This paper analyzes the deformation features and possible “true” displacements of a reservoir slope near the Laxiwa hydropower station in the upstream of Yellow River using the neural network. The error correction is also discussed for the results calculated by the neural network. The displacement prediction and feedback analyses of the reservoir slope in this paper show that the slope deformation and failure has occurred before water impoundment. |
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Bibliography: | Selected, peer reviewed papers from the 2011 International Conference on Civil Engineering and Transportation, (ICCET 2011), 14-16 October, 2011, Jinan, China |
ISBN: | 3037852429 9783037852422 |
ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.90-93.1684 |