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Modal identification of concrete dams under natural excitation

Title
Modal identification of concrete dams under natural excitation
Type
Article in International Scientific Journal
Year
2021
Authors
Sérgio Pereira
(Author)
Other
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Filipe Magalhães
(Author)
FEUP
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Álvaro Cunha
(Author)
FEUP
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Moutinho, C.
(Author)
FEUP
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João Pacheco
(Author)
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Journal
Pages: 445-484
ISSN: 2190-5452
Publisher: Springer Nature
Other information
Authenticus ID: P-00Q-WR4
Abstract (EN): Historically, the dynamic testing of concrete dams has been associated with experimental modal analysis (EMA) and the performance of forced vibrations tests. Nevertheless, this type of tests requires the use of a heavy equipment and the interruption of the regular operation of the structure. An alternative to EMA relies on the application of operational modal analysis (OMA), through the performance of ambient vibration tests, and thus, it is essential to investigate if the application of OMA to concrete dams can provide good results with high levels of accuracy. In this context, this work addresses the performance of ambient vibration tests on concrete dams with quite diverse geometrical attributes and on the application of state-of-art output-only modal identification methods, to gain awareness of the issues that may occur during the application of OMA methods to signals with such low amplitudes (of the order of micro g), such as those that are usually recorded when dealing with these massive structures. More specifically, the paper describes the ambient vibration tests executed on six very different concrete dams. The most relevant modal properties are estimated through the application of modern output-only modal identification techniques, stressing the good level of accuracy achieved, which is quantified through the calculation of modal properties' uncertainties. Finally, a novel approach considering the uncertainties estimated is used to study the effect of noise on the quality of modal estimates and to qualify the adequacy of sensors to perform these tests on dams.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 20
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