IDE-MLSSVR-Based Back Analysis Method for Multiple Mechanical Parameters of Concrete Dams
Publication: Journal of Structural Engineering
Volume 146, Issue 8
Abstract
A back analysis method based on multioutput least-squares support vector regression machine (MLSSVR) and improved differential evolution algorithm (IDE) is proposed to estimate multiple mechanical parameters of concrete dams. Based on the uniform design method, representative combinations of mechanical parameters are generated. Using these combinations, calculated hydrostatic displacement component differences are obtained through the finite-element method (FEM). The calculated hydrostatic component differences and mechanical parameters are then used to train MLSSVR models, with the model parameters selected by IDE. This allows for establishing the mapping relationship between dam displacements and corresponding mechanical parameters. The hydrostatic component differences separated from prototype observed data are then substituted into the model to obtain back analyzed mechanical parameters. If predefined terminating conditions are not satisfied, new combinations are added to the training set, and the training process continues until satisfied. The proposed back analysis method was successfully implemented to the Jinping I arch dam. Results indicate that the proposed method has high precision and strong generation ability.
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Acknowledgments
This work has been partially supported by National Key R&D Program of China (2018YFC1508603 and 2016YFC0401601), Fundamental Research Funds for the Central Universities (2018B623X14), National Natural Science Foundation of China (Grant Nos. 51579086 and 51739003), and Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX18_0592).
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Published In
Journal of Structural Engineering
Volume 146 • Issue 8 • August 2020
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©2020 American Society of Civil Engineers.
History
Received: Apr 25, 2019
Accepted: Oct 11, 2019
Published online: May 26, 2020
Published in print: Aug 1, 2020
Discussion open until: Oct 26, 2020
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