A methodology for the identification of physical parameters of soil-foundation-bridge pier systems from identified state-space models

Carbonari, Sandro; Dezi, Francesca; Arezzo, Davide; Gara, Fabrizio

doi:10.1016/j.engstruct.2022.113944

Cited by 12 publications

(2 citation statements)

References 28 publications

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“…In order to provide useful information for the FE model refinement and calibration, the contribution of the soil-foundation compliance on the overall bridge dynamics is investigated, extending the measurements of vibrations to the foundation basements [33,34]. The results of the AVTs that were performed on the pylon foundations according to the configuration of Figure 6, are shown in Figure 22 in terms of frequency content of the accelerometer recordings.…”

Section: Avts On Pylon Foundationsmentioning

confidence: 99%

A Good Practice for the Proof Testing of Cable-Stayed Bridges

et al. 2022

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This paper presents the results and interpretations of static and dynamic tests that were executed on a newly built cable-stayed steel-concrete composite bridge during the final proof testing. A brief description of the structure, the testing methodology, and the used instrumentation are presented. Then, the test results are widely discussed and interpreted in order to evaluate the bridge performance during the proof test and also to understand the usefulness of each performed test in a proof test framework. All the collected experimental data are also compared to the numerical ones that were obtained through a refined finite element model, in order to check the behavior of the structure. The outcomes of the present work can offer references for the proof testing and monitoring of cable-stayed bridges.

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Section: Avts On Pylon Foundationsmentioning

confidence: 99%

A Good Practice for the Proof Testing of Cable-Stayed Bridges

et al. 2022

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“…A scaled bridge model experiment was also conduced to better understand diferent factors afecting structural identifcation technique for substructure characterization [2]. Carbonari et al [23] proposed a methodology for identifying physical parameters of soil-foundationbridge pier systems from identifed state-space models. Ghorbani et al [3] developed an out-put only scour level quantifcation method by integrating an unscented Kalman flter, random decrement, and a continuous Euler-Bernoulli beam model.…”

Section: Introductionmentioning

confidence: 99%

Condition Monitoring and Quantitative Evaluation of Railway Bridge Substructures Using Vehicle‐Induced Vibration Responses by Sparse Measurement

Wang,

Zhan,

Wang

et al. 2024

Structural Control and Health Monitoring

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Bridge substructure failure has been responsible for numerous recorded bridge collapses, particularly for small- and medium-span bridges, so it is crucial to effectively monitor the performance of the bridge substructures for efficient maintenance and management. The current vibration-based approaches for quantitatively evaluating bridge substructures rely on in-situ experiments with a multitude of sensors or impact vibration test, making it challenging to implement long-term online monitoring. This paper proposes an accurate, low cost, and practicable method to achieve online quantitative monitoring of railway bridge substructures using only one vibration sensor and operational train-induced vibration responses. The newly derived flexible-base Timoshenko beam models, along with the random decrement technique and Levenberg–Marquardt–Fletcher algorithm, are employed to identify the modal parameters and quantitatively assess the condition of bridge substructures. The proposed method is numerically verified through an established 3D train-bridge-foundation coupling system considering different damage scenarios. In addition, a real-world application is also conducted on the 2nd Songhua River bridge in the Harbin–Dalian high-speed railway, aiming at examining the effectiveness and robustness of the method in condition monitoring of bridge substructure under a complete freeze-thaw cycle. The results indicate that the proposed methodology is effective in extracting the modal parameters and monitoring the state evolution of the bridge substructures, which offers an efficient and accurate strategy for condition monitoring and quantitative evaluation of railway bridge substructures.

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