Rapid evaluation and damage assessment of instrumented highway bridges

Mosquera, Virginia; Smyth, Andrew W.; Betti, Raimondo

doi:10.1002/eqe.1155

Cited by 32 publications

(17 citation statements)

References 25 publications

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“…Strategically designed monitoring systems can detect damage or variations of structural behavior during the service life of a structure [3][4][5]. SHM is also useful for fast screening of structural conditions after severe events, such as blasts and earthquakes.…”

Section: Introductionmentioning

confidence: 99%

Static and Dynamic Strain Monitoring of Reinforced Concrete Components through Embedded Carbon Nanotube Cement-Based Sensors

D’Alessandro

Ubertini

García‐Macías

et al. 2017

Shock and Vibration

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The paper presents a study on the use of cement-based sensors doped with carbon nanotubes as embedded smart sensors for static and dynamic strain monitoring of reinforced concrete (RC) elements. Such novel sensors can be used for the monitoring of civil infrastructures. Because they are fabricated from a structural material and are easy to utilize, these sensors can be integrated into structural elements for monitoring of different types of constructions during their service life. Despite the scientific attention that such sensors have received in recent years, further research is needed to understand (i) the repeatability and accuracy of sensors' behavior over a meaningful number of sensors, (ii) testing configurations and calibration methods, and (iii) the sensors' ability to provide static and dynamic strain measurements when actually embedded in RC elements. To address these research needs, this paper presents a preliminary characterization of the self-sensing capabilities and the dynamic properties of a meaningful number of cement-based sensors and studies their application as embedded sensors in a full-scale RC beam. Results from electrical and electromechanical tests conducted on small and full-scale specimens using different electrical measurement methods confirm that smart cement-based sensors show promise for both static and vibration-based structural health monitoring applications of concrete elements but that calibration of each sensor seems to be necessary.

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Section: Introductionmentioning

confidence: 99%

Static and Dynamic Strain Monitoring of Reinforced Concrete Components through Embedded Carbon Nanotube Cement-Based Sensors

D’Alessandro

Ubertini

García‐Macías

et al. 2017

Shock and Vibration

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“…For example, FE model updating-based procedures have been developed to estimate the load carrying capacity of deteriorating bridges (Brownjohn, Xia, Hao, & Xia, 2001;Ding, Hao, Xia, & Deeks, 2012;Xia & Brownjohn, 2004;Zhou et al, 2012). Researches related to damage detection for large structures have also been reported (Law, Chan, & Wu, 2001;Moaveni, He, Conte, & Restrepo, 2010;Mosquera, Smyth, & Betti, 2012;Teughels & De Roeck, 2004).…”

Section: Introductionmentioning

confidence: 98%

Candidate model construction of a cable-stayed bridge using parameterised sensitivity-based finite element model updating

Park

Kim

2014

Structure and Infrastructure Engineering

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An efficient method for constructing multiple candidate finite element (FE) models which are consistent with the measured dynamic properties of a civil structure is presented. A parameterised sensitivity-based FE model updating method was developed to permit a feasible FE model set for the target structure to be produced. In this method, an aggregated multiobjective function, which is defined by the weighted sum of the error functions, is parameterised by its relative weighting factors. By introducing multiple parameter sets for the weighting factors, a number of optimal updated FE models are produced that permit both the natural frequency errors and mode shape errors to be simultaneously minimised. The effectiveness of the proposed method is illustrated by an example using an existing cable-stayed bridge. The findings show that error-minimised, well-distributed FE models can be obtained in terms of modal frequency errors and mode shape errors. The high quality of the candidate model sets is also verified by observations showing that the distributions of the structural parameters are consistent through each updated FE models, and the characteristic features of the target structure such as nonsymmetric mode shapes are relatively well captured.

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“…They can be used to automatically assess the condition of a structural component through the analysis of on-site collected data. This can provide signs of a likely incipient or initial damage, and ultimately lead to condition-based maintenance decisions instead of traditional breakdown-or timebased decisions, resulting in strong economic benefits [24][25][26]. Self-sensing materials also provide the opportunity to transform a structural component into an infinite or continuous set of sensors, therefore enabling distributed sensing in the form of a dense sensor network [27,28].…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study on Static and Dynamic Strain Sensitivity of Smart Concrete Sensors Doped with Carbon Nanotubes for SHM of Large Structures

Meoni¹,

D’Alessandro²,

Downey³

et al. 2018

Preprint

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Abstract:The availability of new self-sensing cement-based strain sensors allows the development of dense sensor networks for Structural Health Monitoring (SHM) of reinforced concrete structures. These sensors are fabricated by doping cement-matrix materials with conductive fillers, such as Multi Walled Carbon Nanotubes (MWCNTs), and can be embedded into structural elements made of reinforced concrete prior to casting. The strain sensing principle is based on the multifunctional composites outputting a measurable change in their electrical properties when subjected to a deformation. Previous work by the authors was devoted to material fabrication, modeling and applications in SHM. In this paper, we investigate the behavior of several sensors fabricated with and without aggregates and with different MWCNTs content. The strain sensitivity of the sensors, in terms of fractional change in electrical resistivity for unit strain, as well as their linearity are investigated through experimental testing under both static and dynamically varying compressive loadings. Moreover, the responses of the sensors when subjected to destructive compressive tests are evaluated. Overall, the presented results contribute to improving the scientific knowledge on the behavior of smart concrete sensors and to furthering their understanding for SHM applications.

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Rapid evaluation and damage assessment of instrumented highway bridges

Cited by 32 publications

References 25 publications

Static and Dynamic Strain Monitoring of Reinforced Concrete Components through Embedded Carbon Nanotube Cement-Based Sensors

Static and Dynamic Strain Monitoring of Reinforced Concrete Components through Embedded Carbon Nanotube Cement-Based Sensors

Candidate model construction of a cable-stayed bridge using parameterised sensitivity-based finite element model updating

An Experimental Study on Static and Dynamic Strain Sensitivity of Smart Concrete Sensors Doped with Carbon Nanotubes for SHM of Large Structures

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