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The Effects of Ice–Pier Interactions on the Operational Modal Estimates of Bridges
https://orcid.org/http://orcid.org/0000-0002-0828-906X
Vibration-based structural health monitoring (VBSHM) techniques based on tracking operational modal analysis (OMA) results in time are very promising. However, a good understanding of the sources of variability is required to improve the sensitivity of the damage identification algorithms that are based on detecting the smallest variations in modal properties. One important source of variability for bridges situated over ice-covered waters is the resulting ice–pier interactions. This study aims to quantify the effects of ice presence and interactions on the operational modal estimates of bridges. The Confederation Bridge health monitoring program and its associated database serve as the backdrop for this study. There are many instruments (tiltmeters, anemometers, accelerometers, cameras) that have been installed on different parts of the bridge (deck, piers, and box girders) in the past 25 years that have collected important information and have helped to build a significant database which describe the structure’s behavior under actual environmental and operational loadings. This paper presents a novel application of a machine learning technique used to identify ice–pier interactions from the measured pier tilts. To validate this new technique, the ice-monitoring data captured at piers 24 and 32 during the month of February 2017 are taken as a basis for this study. Traditionally, the ice loads have been estimated from the average tilts measured by the tiltmeters installed in the piers using established empirical equations that account for wind effects and pier and foundation stiffness. With the new proposed data-driven method, the ice presence and the interaction effects will be obtained from the residuals of a multiple regression model which accounts for wind speed, wind direction, and temperature. Preliminary results confirm the suitability of the new method. In the second part of the paper, correlations between the estimated ice-induced tilts and the modal frequencies extracted from the analysis of vibration data are determined. The relationship observed in some specific modes will further improve current vibration-based damage detection techniques.
The Effects of Ice–Pier Interactions on the Operational Modal Estimates of Bridges
https://orcid.org/http://orcid.org/0000-0002-0828-906X
Vibration-based structural health monitoring (VBSHM) techniques based on tracking operational modal analysis (OMA) results in time are very promising. However, a good understanding of the sources of variability is required to improve the sensitivity of the damage identification algorithms that are based on detecting the smallest variations in modal properties. One important source of variability for bridges situated over ice-covered waters is the resulting ice–pier interactions. This study aims to quantify the effects of ice presence and interactions on the operational modal estimates of bridges. The Confederation Bridge health monitoring program and its associated database serve as the backdrop for this study. There are many instruments (tiltmeters, anemometers, accelerometers, cameras) that have been installed on different parts of the bridge (deck, piers, and box girders) in the past 25 years that have collected important information and have helped to build a significant database which describe the structure’s behavior under actual environmental and operational loadings. This paper presents a novel application of a machine learning technique used to identify ice–pier interactions from the measured pier tilts. To validate this new technique, the ice-monitoring data captured at piers 24 and 32 during the month of February 2017 are taken as a basis for this study. Traditionally, the ice loads have been estimated from the average tilts measured by the tiltmeters installed in the piers using established empirical equations that account for wind effects and pier and foundation stiffness. With the new proposed data-driven method, the ice presence and the interaction effects will be obtained from the residuals of a multiple regression model which accounts for wind speed, wind direction, and temperature. Preliminary results confirm the suitability of the new method. In the second part of the paper, correlations between the estimated ice-induced tilts and the modal frequencies extracted from the analysis of vibration data are determined. The relationship observed in some specific modes will further improve current vibration-based damage detection techniques.
The Effects of Ice–Pier Interactions on the Operational Modal Estimates of Bridges
https://orcid.org/http://orcid.org/0000-0002-0828-906X
Vibration-based structural health monitoring (VBSHM) techniques based on tracking operational modal analysis (OMA) results in time are very promising. However, a good understanding of the sources of variability is required to improve the sensitivity of the damage identification algorithms that are based on detecting the smallest variations in modal properties. One important source of variability for bridges situated over ice-covered waters is the resulting ice–pier interactions. This study aims to quantify the effects of ice presence and interactions on the operational modal estimates of bridges. The Confederation Bridge health monitoring program and its associated database serve as the backdrop for this study. There are many instruments (tiltmeters, anemometers, accelerometers, cameras) that have been installed on different parts of the bridge (deck, piers, and box girders) in the past 25 years that have collected important information and have helped to build a significant database which describe the structure’s behavior under actual environmental and operational loadings. This paper presents a novel application of a machine learning technique used to identify ice–pier interactions from the measured pier tilts. To validate this new technique, the ice-monitoring data captured at piers 24 and 32 during the month of February 2017 are taken as a basis for this study. Traditionally, the ice loads have been estimated from the average tilts measured by the tiltmeters installed in the piers using established empirical equations that account for wind effects and pier and foundation stiffness. With the new proposed data-driven method, the ice presence and the interaction effects will be obtained from the residuals of a multiple regression model which accounts for wind speed, wind direction, and temperature. Preliminary results confirm the suitability of the new method. In the second part of the paper, correlations between the estimated ice-induced tilts and the modal frequencies extracted from the analysis of vibration data are determined. The relationship observed in some specific modes will further improve current vibration-based damage detection techniques.
The Effects of Ice–Pier Interactions on the Operational Modal Estimates of Bridges
Lecture Notes in Civil Engineering
Desjardins, Serge (editor) / Poitras, Gérard J. (editor) / El Damatty, Ashraf (editor) / Elshaer, Ahmed (editor) / Boualila, El Mahdi (author) / Desjardins, Serge (author) / Arfaoui, Youssef (author)
Canadian Society of Civil Engineering Annual Conference ; 2023 ; Moncton, NB, Canada
Proceedings of the Canadian Society for Civil Engineering Annual Conference 2023, Volume 13 ; Chapter: 21 ; 253-268
2024-09-03
16 pages
Article/Chapter (Book)
Electronic Resource
English
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