Ambient and free-vibration tests to improve the quantification and estimation of modal parameters in existing bridges

Lorenzoni, Filippo; Conto, Nicola De; Porto, Francesca da; Modena, Claudio

doi:10.1007/s13349-019-00357-4

Cited by 33 publications

(14 citation statements)

References 18 publications

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“…Lorenzoni et al adopted DAQ to analysis in the five different types of existing bridges such as Reinforced Cement Concrete Arch Bridge, Masonry Bridge, Multigirder RCC Bridge, Steel Box Bridge, and Steel Trusses Bridge have been monitored for one year to predict the model analysis, natural frequency and mode shapes to safeguard the bridge from structural failures [110]. Neves et al applied data optimization techniques using Bayesian theorem to practice wise decision-making to ensure the safety of the bridge structure [111].…”

Section: Data Acquisition In Bridgesmentioning

confidence: 99%

[Retracted] Development of Smart Sensing Technology Approaches in Structural Health Monitoring of Bridge Structures

Sivasuriyan

Vijayan

LeemaRose³

et al. 2021

Advances in Materials Science and Engineering

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In recent years, immense development in Structural Health Monitoring (SHM) of bridges helps address the life span and reliability of bridge structure at contrasting phases of their service life. This article provides a detailed understanding of bridge monitoring, and it focuses on sensors utilized and all kinds of damage detection (strain, displacement, acceleration, and temperature) according to bridge nature (scour, suspender failure, disconnection of bolt and cables, etc.) and environmental degradation under static and dynamic loading. This paper presents information about various methods, approaches, case studies, advanced technologies, real-time experiments, stimulated models, data acquisition, and predictive analysis. Future scope and research also discussed the implementation of SHM in bridges. The main aim of this research is to assist researchers in better understanding the monitoring mechanism in bridges.

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Section: Data Acquisition In Bridgesmentioning

confidence: 99%

[Retracted] Development of Smart Sensing Technology Approaches in Structural Health Monitoring of Bridge Structures

Sivasuriyan

Vijayan

LeemaRose³

et al. 2021

Advances in Materials Science and Engineering

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“…[2][3][4] In fact, they define a target for the numerical model's calibration thanks to the identification of the dynamic properties in terms of modal parameters. While literature reports several applications for reinforced-concrete (RC) or steel structures, especially bridges and other strategic infrastructures, 5,6 the examples on masonry buildings are very few. The latter are mostly addressed to monumental buildings, [7][8][9][10] especially towers and churches, and they usually adopt the finite element (FE) approach as a modelling strategy.…”

Section: Introductionmentioning

confidence: 99%

Dynamic calibration and seismic validation of numerical models of URM buildings through permanent monitoring data

Cattari

Abbati

Alfano

et al. 2021

Earthq Engng Struct Dyn

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The construction of reliable numerical models is a key aspect within the seismic assessment of existing unreinforced masonry buildings. However, it is also a complex process due to the many uncertainties involved that can affect the structural response. In situ tests allow for the acquisition of data at a local scale. Nonetheless, supplementary information representing the global response is necessary to overcome other uncertainties (i.e., wall-to-wall connections or floor stiffness). To this end, data from ambient vibration tests (AVT) are useful to support seismic assessments. In fact, they allow for the identification of dynamic structural properties, which are useful in refining the calibration of numerical models. In addition, they address solutions for the aforementioned uncertainties. In this context, the paper presents how to efficiently exploit AVT data by using the case study of the former Courthouse of Fabriano (Ancona, Marche). This structure has been monitored since 2010 by the Italian Department of Civil Protection with a network of 28 seismic accelerometers. As a result, the equivalent frame (EF) model was calibrated in the linear field thanks to the dynamic identification provided under operational conditions. Subsequently, nonlinear dynamic analyses were performed using the recordings acquired during the Central Italy earthquake in 2016/2017. Even if the building experienced only a slight nonlinear behaviour, this comparison between the simulated and actual seismic response made it possible to validate the EF model, especially with reference to the capability in reproducing the amplification phenomena, which is extremely important for the assessment of structural and non-structural components. K E Y W O R D Sdynamic identification, equivalent frame models, masonry structures, permanent monitoring, recordings from seismic eventsThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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“…The homogenization procedure was applied to provide the material parameters used in the modelling. In recent years, many studies have been carried out on imaging, material characterization, modeling and seismic performance of historical bridges [41][42][43][44][45][46][47]. By the technological innovations, many kinds of structures could be digitally measured easily and with high accuracy.…”

Section: Introductionmentioning

confidence: 99%

Ayvalıkemer (Sillyon) historical masonry arch bridge: a multidisciplinary approach for structural assessment using point cloud data obtained by terrestrial laser scanning (TLS)

Batar

Tercan

Emsen

2021

J Civil Struct Health Monit

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Historical structures are cultural heritage constituents that convey the traces and characteristic features of civilizations to the present days. One of these structures, which are among the monumental artefacts, are historical bridges. To protect historical buildings, 3D photogrammetric documentation of these structures, detailed determination of geometric and material properties and performing computer-aided structural analysis using appropriate modelling techniques are very important. The aim of this study is to present an effective, reliable, and fast multidisciplinary approach for the analysis of historical masonry bridges. The aforementioned approach is presented as an example for the behavior of the recently restored historical Ayvalıkemer (Sillyon) masonry arch bridge under possible loadings. Terrestrial laser scanning (TLS) was used to determine the bridge geometry with high accuracy. The point cloud data obtained from TLS was simplified and a three-dimensional CAD based solid model of the structure was created. This solid body has been formed the basis of the macro model for structural analysis. CDP material model was used to describe the inelastic behavior of homogenized structure. Thus, an analysis was carried out which presents the structural behavior of a historical bridge with high accuracy and reliability. KeywordsTerrestrial laser scanning (TLS) • Structural analysis • Macro modelling • Sillyon (Ayvalıkemer) • Historical structures • Masonry arch bridges * Engin Emsen

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Ambient and free-vibration tests to improve the quantification and estimation of modal parameters in existing bridges

Cited by 33 publications

References 18 publications

[Retracted] Development of Smart Sensing Technology Approaches in Structural Health Monitoring of Bridge Structures

[Retracted] Development of Smart Sensing Technology Approaches in Structural Health Monitoring of Bridge Structures

Dynamic calibration and seismic validation of numerical models of URM buildings through permanent monitoring data

Ayvalıkemer (Sillyon) historical masonry arch bridge: a multidisciplinary approach for structural assessment using point cloud data obtained by terrestrial laser scanning (TLS)

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