Evidence map›Paper›PMID 35684713›Full record

ArticleSensors (Basel, Switzerland)2022

Smart Polymer Composite Deck Monitoring Using Distributed High Definition and Bragg Grating Fiber Optic Sensing.

Stephen Young, Dayakar Penumadu, Andrew D Patchen, George Laggis, Joey Michaud, Abram Bradley, Ryan Davis, John Unser, Matthew Davis

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Stephen YoungTickle College of Engineering, The University of Tennessee, Knoxville, TN 37996, USA.
Dayakar PenumaduTickle College of Engineering, The University of Tennessee, Knoxville, TN 37996, USA.ORCID 0000-0002-7029-3561
Andrew D PatchenTickle College of Engineering, The University of Tennessee, Knoxville, TN 37996, USA.
George LaggisWalker Engineering and Project Management LLC, Knoxville, TN 37928, USA.
Joey MichaudTickle College of Engineering, The University of Tennessee, Knoxville, TN 37996, USA.
Abram BradleyTickle College of Engineering, The University of Tennessee, Knoxville, TN 37996, USA.
Ryan DavisTickle College of Engineering, The University of Tennessee, Knoxville, TN 37996, USA.ORCID 0000-0002-9705-5600
John UnserComposite Applications Group, McDonald, TN 37353, USA.
Matthew DavisLUNA Innovations, Inc., Blacksburg, VA 24060, USA.

Funding

The project was partially supported by the Tennessee Economic Development through RevV program to Dr. Dayakar Penumadu. Authors would also like to acknowledge the Morgan County bridge demonstration project group of the Institute for Advance Composite Manu n/a
6 · The paper itself

Abstract

Fiber-reinforced polymer composites are an excellent choice for bridge decks due to high strength, lightweight, resistance to corrosion, and long-term durability with a 100-year design life. Structural health monitoring is useful for the long-term assessment of the condition of the bridge structure and obtaining a response to complex loads considering environmental conditions. Bridge structures have been studied primarily using distributed fiber optic sensing, such as Brillouin scattering; however, critical events, including damage detection, can be missed due to low spatial resolution. There is also a critical need to conduct a comprehensive study of static and dynamic loading simultaneously for fiber-reinforced composite bridge structures. In this study, a novel approach was implemented using two sensor technologies, optical frequency domain reflectometry and fiber Bragg grating-based sensors, embedded in a glass-fiber-reinforced composite bridge deck to simultaneously monitor the deformation response of the bridge structure. The optical frequency domain reflectometry sensor utilizing Rayleigh scattering provides high spatial strain resolution were positioned strategically based on expected stress distributions to measure strain in the longitudinal, transverse, and diagonal directions along the span of the composite bridge. Furthermore, fiber Bragg grating based sensors are used to monitor the response to dynamic vehicular loading and deformations from an automotive-crash-type event on the bridge structure. To monitor environmental variables such as temperature, a custom wireless configured sensor package was developed for the study and integrated with a composite bridge located in Morgan County, Tennessee. Additionally, a triaxial accelerometer was used to monitor the vehicular dynamic loading of the composite bridge deck in parallel with fiber Bragg grating sensors. When appropriate, mid-point displacements were compared with strain-distribution measurements from the fiber optic sensor-based data.

Indexed as

Optical FibersStimuli Responsive PolymersFiber Optic TechnologyPolymersTemperaturePolymersStimuli Responsive Polymersdistributed fiber optic sensingfiber Bragg grating sensingrural bridgesstructural health

Identifiers

PMID35684713
PMCPMC9185641

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.