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- W4385468049 abstract "A one-year seismological campaign took place in the site of the Saint-Guérin dam in 2015, and continuous vibration data of the dam under ambient noises were registered by 3 sensors installed on the dam crest. This contribution analyzes the ambient vibration data during 3 days with the dam’s reservoir at its maximum level, aiming to show two benefits of collecting such data for arch dams: (1) estimation of modal frequencies and (2) calibration of a numerical model. First, spectral analyses are performed on the vibration data by using the Enhanced Frequency Domain Decomposition method, leading to 10 natural frequencies of the dam obtained within a range of [0, 11] Hz. Particularly, two vibration scenarios of the dam with different spectral contents are identified, and they are found to be related with the opening of the intake gate of the dam. The importance of collecting and analyzing ambient vibration data under different external excitations (if applicable) is thus highlighted, as it can avoid missing some modes of interest. Secondly, a 3D numerical model of the dam is created with a compressible reservoir modelled by fluid elements. By simply tunning the model’s stiffness parameters, a reasonable predictive model is obtained given that it is able to accurately provide the dam’s frequencies up to the 10th mode. This model then provides a good representation of the dam under normal reservoir level and can be used for further safety evaluation of the dam." @default.
- W4385468049 created "2023-08-02" @default.
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- W4385468049 date "2023-01-01" @default.
- W4385468049 modified "2023-09-23" @default.
- W4385468049 title "Ambient Vibration Data-Based Modal Parameter Estimation and Numerical Model Calibration of an Arch Dam" @default.
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- W4385468049 doi "https://doi.org/10.1007/978-3-031-39109-5_26" @default.
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