Seismic and structural health monitoring of Cabril dam. Software development for informed management

Oliveira, Silvia Paula De; Alegre, André

doi:10.1007/s13349-020-00425-0

Cited by 26 publications

(16 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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.…”

Section: Introductionmentioning

confidence: 99%

“…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 18–20 . A system with the same purpose was installed on Roode Elsberg Dam, 21 and a linear multiple regression model was used to forecast the relationship between the natural frequency and environmental factors.…”

Section: Introductionmentioning

confidence: 99%

“…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.…”

mentioning

confidence: 99%

See 2 more Smart Citations

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

Zhi‐Qian

Pan

Wang

et al. 2022

Structural Contr & Hlth

View full text Add to dashboard Cite

Summary Vibration‐based structural health monitoring for arch dams is influenced by various environmental effects, such as water depth and air temperature. These effects do not cause structural damage; therefore, their effects need to be minimized or removed from models. Moreover, arch dams are often located in earthquake‐prone areas; thus, an improved approach is proposed herein to adapt to the aforementioned situations. In this study, an arch dam in China was used for a case study. A long‐term continuous structural health monitoring system was proposed to operate under seismic and environmental excitation. An autoregressive exogenous model was applied for modal identification under seismic excitation. An automatic procedure based on stochastic subspace identification and density‐based spatial clustering of applications with noise was carried out for modal identification under environmental excitation. This study focused on the identification of the first three‐order modes. The seismic events were then analyzed. The natural frequencies before, during, and after seismic events were the same within a certain margin of error. This indicates that earthquakes did not cause major seismic damage to the arch dam. In addition, natural frequencies were continuously identified under environmental excitation. The relationship between natural frequency and water depth forms a quadratic curve, and the modal damping ratio increases with increasing water depth. Finally, this paper presents a random forest model to minimize environmental effects on natural frequencies. After minimizing the influence of non‐structural factors, the natural frequency exhibited a weak increasing trend over time.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

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

Zhi‐Qian

Pan

Wang

et al. 2022

Structural Contr & Hlth

View full text Add to dashboard Cite

show abstract

“…Determination of the vibration characteristics in concrete dams (especially the unsymmetrical tall arch dams) is an essential task prior to perform any nonlinear seismic analysis [1], dynamic health monitoring [2,3], and system identification [4,5]. This research topic has received a lot of recognition in the past few years [6] and several advanced techniques have been developed such the one by Sevieri and De Falco [7] based on Bayesian interface model.…”

Section: Introductionmentioning

confidence: 99%

An RF-PCE Hybrid Surrogate Model for Sensitivity Analysis of Dams

Hariri-Ardebili

Mahdavi

Abdollahi

et al. 2021

Water

View full text Add to dashboard Cite

Quantification of structural vibration characteristics is an essential task prior to perform any dynamic health monitoring and system identification. Anatomy of vibration in concrete arch dams (especially tall dams with un-symmetry shape) is very complicated and requires special techniques to solve the eigenvalue problem. The situation becomes even more complicated if the material distribution is assumed to be heterogeneous within the dam body (as opposed to conventional isotropic homogeneous relationship). This paper proposes a hybrid Random Field (RF)–Polynomial Chaos Expansion (PCE) surrogate model for uncertainty quantification and sensitivity assessment of dams. For different vibration modes, the most sensitive spatial locations within dam body are identified using both Sobol’s indices and correlation rank methods. Results of the proposed hybrid model is further validated using the classical random forest regression method. The outcome of this study can improve the results of system identification and dynamic analysis by properly determining the vibration characteristics.

show abstract

“…A further application of SHM to a real large-scale structure is presented in the article by Oliveira and Alegre [3]. The paper is focused on the experience gathered since 2008 through the monitoring of the 132 m-high Cabril arch dam.…”

mentioning

confidence: 99%

SHM for informed management of civil structures and infrastructure

Limongelli

2020

J Civil Struct Health Monit

View full text Add to dashboard Cite

Seismic and structural health monitoring of Cabril dam. Software development for informed management

Cited by 26 publications

References 7 publications

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

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

An RF-PCE Hybrid Surrogate Model for Sensitivity Analysis of Dams

SHM for informed management of civil structures and infrastructure

Contact Info

Product

Resources

About