Statistical Model for Dam-Settlement Prediction and Structural-Health Assessment
Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 144, Issue 9
Abstract
This paper considers a hydrostatic–seasonal–time (HST) statistical model for predicting the settlement behavior of a concrete-faced rockfill dam (CFRD) during operation. The constituents of the model are innovatively related to viscoelastic–plastic material model components, with the novel addition of considering unloading–reloading behavior when determining the model parameters. The statistical model developed considers both load-related and time-related deformation behavior of rockfill and CFRDs. The discussion compares different functions from the literature describing time-dependent deformation of rockfill dams and CFRDs and emphasizes cautious selection of predictors to enhance any statistical model’s credibility. The model is applied to the case of the 200-m-high Kárahnjúkar CFRD. The aim of the statistical analysis is first to create a prediction model for short- and long-term settlements of the dam, and second to extract behavioral patterns for structural-health monitoring applications. This is important for the operational safety of large dams, and thus the resilience and sustainability of related civil infrastructure systems.
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Acknowledgments
The support and input by the late Professor Ragnar Sigbjörnsson is gratefully acknowledged. The authors thank Landsvirkjun for access to the monitoring data.
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This work is made available under the terms of the Creative Commons Attribution 4.0 International license, http://creativecommons.org/licenses/by/4.0/.
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Received: Jul 1, 2017
Accepted: Feb 7, 2018
Published online: Jun 27, 2018
Published in print: Sep 1, 2018
Discussion open until: Nov 27, 2018
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