Vibration-based damage detection of a concrete arch dam. (15th May 2021)

• Record Type: Journal Article
• Authors: Pereira, Sérgio; Magalhães, Filipe; Gomes, Jorge P.; Cunha, Álvaro; Lemos, José V.
• Is Part Of: Engineering structures. Volume 235(2021)
• Publication Date: 2021-05-15
• Subjects: Concrete arch dam -- Continuous dynamic monitoring -- Operational and environmental effects -- Data normalisation -- Damage detection; Structural engineering -- Periodicals; Structural analysis (Engineering) -- Periodicals; Construction, Technique de la -- Périodiques; Génie parasismique -- Périodiques; Pression du vent -- Périodiques; Earthquake engineering; Structural engineering; Wind-pressure; Periodicals; 624.105
• DOI: 10.1016/j.engstruct.2021.112032
• Languages: English
• ISSNs: 0141-0296

Abstract

Highlights: Continuous dynamic monitoring of a concrete arch dam. Automated modal analysis using the (SSI-Cov) method. Mitigation of the operational and environmental effects on natural frequencies. Numerical simulation of damage and damage detection. Abstract: Civil engineering structures are generally supposed to have long operation life spans during which they are submitted to many factors, both environmentally and human-induced, that degrade their condition and performance, gradually leading to the occurrence of damages and malfunctions. Therefore, systems capable of monitoring and assessing structural performance automatically are highly desirable. In this context, this paper describes the vibration-based structural health monitoring of Baixo Sabor arch dam, in Portugal, detailing results from the several processing stages needed to achieve the ability to detect damage. Automated operational modal analysis is applied to the data obtained during the first three years of monitoring, after which environmental and operational conditions affecting modal properties are studied and their effects minimised through the combined application of weighted regression models and principal components analysis. Finally, damages are simulated in a numerical model of the dam, and the results are used to test the ability of damage detection tools to find these anomalies. The present paper uses a quite unique set of experimental data to test for the first time the ability of a vibration-based SHM system to identify realistic damages in an arch dam.