Evidence map›Paper›PMID 39797011›Full record

ArticleSensors (Basel, Switzerland)2025

Long-Gauge Fiber Optic Sensors: Strain Measurement Comparison for Reinforced Concrete Columns.

Haoran Lin, Zhaowen Xu, Wan Hong, Zhihong Yang, Yixin Wang, Bing Li

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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. Review
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

6 authors.

Haoran LinSchool of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0009-0005-6554-3596
Zhaowen XuInstitute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, Singapore 138632, Singapore.
Wan HongCollege of Civil Engineering, Nanjing Tech University, Nanjing 211816, China.ORCID 0000-0001-9833-0486
Zhihong YangSchool of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0002-0260-7186
Yixin WangInstitute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, Singapore 138632, Singapore.
Bing LiSchool of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore.

Funding

Institute for Infocomm Research COT-V2-2020-2
6 · The paper itself

Abstract

Long-gauge fiber optic sensors have proven to be valuable tools for structural health monitoring, especially in reinforced concrete (RC) beam structures. While their application in this area has been well-documented, their use in RC columns remains relatively unexplored. This suggests a promising avenue for further research and development. This paper presents a thorough comparison of long-gauge fiber optic sensors and traditional measurement tools when used to monitor RC columns under small eccentric compressive loading. The evaluation focuses on the stability and precision of each sensor type. A monitoring system was developed for laboratory testing to assess the performance of various sensor types under specific conditions. The system incorporated four measurement schemes, utilizing a combination of embedded and surface-mounted long-gauge fiber optic sensors, linear variable differential transformers (LVDTs), and point sensors (strain gauges). Long-gauge fiber optic sensors, securely mounted on the concrete surface near the tensile side, were found to accurately measure both large and small deformations, outperforming LVDTs. Compared to strain gauges and embedded optic sensors, the long-gauge fiber optic sensors demonstrated superior average strain measurement and minimal interference from protective covers.

Indexed as

eccentricitylong-gauge fiber optic sensorsLVDTpoint-sensorRC columnstructural health monitoring

Identifiers

PMID39797011
PMCPMC11723277

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.