Vibration-based damage detection of a concrete arch dam

Improved approach for vibration‐based structural health monitoring of arch dams during seismic events and normal operation

“…The identified results of the 20 seismic events and those of the automated operational modal analysis were merged, and the quadratic regression results determined for the first three-order vibration modes are presented in Figure 13. Similar to other studies, 16,24,33 the quadratic regression of frequency and water depth had a high coefficient of certainty. The determination coefficients were all above 0.98, indicating the reference significance for the automatic modal tracking of the Xiao-Wan arch dam and the elimination of environmental factors when only considering the impact of water depth.…”

“…With the rapid development of high‐precision sensors and data acquisition systems, the SHM of dams based on operational modal analysis (OMA) has been gradually deployed globally. Efforts have been devoted to analyzing the influence of environmental factors on the natural frequencies of dams through OMA 16–25 . Studies on the Mauvoisin Dam 16,17 revealed that there are two mechanisms by which the water level influences the natural frequency.…”

“…However, in studies on Ohkura Arch Dam 22 and Baixo Sabor Arch Dam, 23 it was shown that the natural frequency of the dam structures was positively correlated with temperature changes. Furthermore, research on the Baixo Sabor Arch Dam, 24 wherein weighted regression models and principal component analysis were applied to minimize environmental effects have enhanced the literature on the SHM of dams. However, few studies have combined seismic and environmental excitation evaluations.…”

“…Efforts have been devoted to analyzing the influence of environmental factors on the natural frequencies of dams through OMA. [16][17][18][19][20][21][22][23][24][25] Studies on the Mauvoisin Dam 16,17 revealed that there are two mechanisms by which the water level influences the natural frequency. To track changes in structural characteristics caused by coupling factors and to calibrate the finite element model, a long-term dynamic monitoring system was installed on the Cabril Dam.…”

Combined Use of Cointegration Analysis and Robust Outlier Statistics to Improve Damage Detection in Real-World Structures

“…The presence of actual damage for in-service structures is something that is hard to find. That is why damage detection strategies are often validated using a numerical model of the structure, where different damage scenarios are simulated to reproduce realistic damage conditions [ 30 , 31 , 32 ]. Alternatively, many works rely on the use of experimental data from the well-known Z24 bridge benchmark study [ 33 , 34 , 35 ], where long-term continuous monitoring took place during the year before demolition and progressive failure tests were performed.…”