Long-term monitoring of a PSC box girder bridge: Operational modal analysis, data normalization and structural modification assessment

Cury, Alexandre; Crémona, Christian; Dumoulin, J. G.

doi:10.1016/j.ymssp.2012.07.005

Cited by 53 publications

(21 citation statements)

References 23 publications

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“…Dervilis et al implemented robust regression analysis, relying on least trimmed square and minimum covariance determinant estimators, for shedding light on the different origins of outliers, demonstrated on the Z24 and Tamar Bridges. On further related work, Cury et al used neural networks to simulate temperature effects on modal frequencies and shapes of a PSC box girder bridge located on the A1 motorway in France. Using additional data after bridge‐retrofitting, classical statistical analysis and clustering methods are employed for assessing the shifts in the vibration signature of this bridge that may be attributed to strengthening.…”

Section: Recent Progress On Damage Identification Methods For Beam Brmentioning

confidence: 99%

Recent progress and future trends on damage identification methods for bridge structures

Chatzi

Sim

et al. 2019

Struct Control Health Monit

231

112

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Summary Damage identification forms a key objective in structural health monitoring. Several state‐of‐the‐art review papers regarding progress in this field up to 2011 have been published. This paper summarizes the recent progress between 2011 and 2017 in the area of damage identification methods for bridge structures. This paper is organized based on the classification of bridge infrastructure in terms of fundamental structural systems, namely, beam bridges, truss bridges, arch bridges, cable‐stayed bridges, and suspension bridges. The overview includes theoretical developments, enhanced simulation attempts, laboratory‐scale implementations, full‐scale validation, and the summary for each type of bridges. Based on the offered review, some challenges, suggestions, and future trends in damage identification are proposed. The work can be served as a basis for both academics and practitioners, who seek to implement damage identification methods in next‐generation structural health monitoring systems.

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Section: Recent Progress On Damage Identification Methods For Beam Brmentioning

confidence: 99%

Recent progress and future trends on damage identification methods for bridge structures

Chatzi

Sim

et al. 2019

Struct Control Health Monit

231

112

View full text Add to dashboard Cite

show abstract

“…Additional longitudinal prestressing (32,000 kN) would correct the lack of sufficient prestressing. The reinforcement works took place during the summer of 2009 [26]. The strengthening consisted in reducing the tensile stresses under live loads to 1.5 MPa at the bottom part of the bridge cross-sections.…”

Section: Pi-57 Motorway Bridgementioning

confidence: 99%

Structural modification assessment using supervised learning methods applied to vibration data

Alves

Cury

Roitman

et al. 2015

Engineering Structures

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“…Estos cambios podrían ser indicadores de daño y contribuyen a tomar decisiones a tiempo para su oportuna intervención, mantenimiento o reparación [1]. Aunque en el nivel internacional se ha puesto en evidencia un desarrollo importante en el monitoreo de la salud estructural para puentes [2]- [4], en Colombia apenas se han realizado algunos trabajos en esta dirección [5]- [9]. Esta brecha del uso del monitoreo estructural en Colombia se debe en gran parte a la escasa existencia de puentes de envergadura, puesto que la mayoría de los puentes existentes hacen parte de vías con un volumen de tráfico bajo.…”

Section: Introductionunclassified

Structural health monitoring baseline of Gómez Ortiz bridge using ambient vibration tests

2018

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ResumenIntroducción− En los últimos años, en Colombia hay un crecimiento en la construcción de puentes de grandes luces, en especial tipo viga cajón. Por la importancia de estas estructuras en la infraestructura del país, surge la necesidad de monitorear su integridad estructural, analizar su comportamiento a través de su ciclo de vida, detectar cambios causados por posibles daños y establecer planes de mantenimiento. Este monitoreo se puede realizar a través de la caracterización de las propiedades dinámicas de la estructura. Objetivo− Este estudio presenta los resultados de la línea base para el monitoreo de la salud estructural del puente Gómez Ortiz. El artículo presenta y discute los resultados de la caracterización dinámica de la estructura y se describe el proceso de ajuste de un modelo numérico con base en los resultados experimentales. Metodología− La caracterización dinámica se realizó utilizando la técnica experimental con medición de vibraciones ambientales. Para el procesamiento de datos se utilizaron cuatro técnicas diferentes, tales como selección de picos (PP), descomposición en el dominio de la frecuencia (FDD), descomposición en el dominio de la frecuencia mejorada (EFDD) e identificación del sub-espacio estocástico (SSI). Resultados− En el estudio se obtuvo información experimental de las propiedades dinámicas del puente, tales como frecuencias fundamentales, modos de vibración y fracciones de amortiguamiento. Conclusiones− Los resultados demostraron que las cuatro técnicas arrojan resultados similares, excepto para las fracciones de amortiguamiento, confirmando la incertidumbre de las técnicas experimentales para definir este parámetro. Abstract Introduction− The construction of long-span bridges, especially box girder type, has been increasing in recent years in Colombia. Due to the importance that these structures represent for the infrastructure of the country, there is a need to monitor their structural integrity to analyze their behavior throughout their life cycle, detect changes caused by possible damages and establish maintenance plans. This monitoring can be carried out through the characterization of the dynamic properties of the structure. Objective− This study shows the results of the structural health monitoring baseline carried out in the Gómez Ortiz bridge. The dynamic characterization of the structure is performed and discussed, as well as the process of adjusting a numerical model based on the experimental results. Methodology− The dynamic characterization of the structure was carried out using the experimental technique based on ambient vibration tests. Four different techniques were used to post-processing the data obtained in these tests such as Peak Picking (PP), Frequency Domain Decomposition (FDD), Enhanced Frequency Domain Decomposition (EFDD), and the Stochastic Subspace Identification (SSI). Results− Experimental information of the dynamic properties of the bridge was obtained in the study, such as fundamental frequencies, modal shapes, and damping ratios. Conclusion...

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Long-term monitoring of a PSC box girder bridge: Operational modal analysis, data normalization and structural modification assessment

Cited by 53 publications

References 23 publications

Recent progress and future trends on damage identification methods for bridge structures

Recent progress and future trends on damage identification methods for bridge structures

Structural modification assessment using supervised learning methods applied to vibration data

Structural health monitoring baseline of Gómez Ortiz bridge using ambient vibration tests

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