Evidence map›Paper›PMID 39771896›Full record

ReviewSensors (Basel, Switzerland)2024

Emerging Trends in the Integration of Smart Sensor Technologies in Structural Health Monitoring: A Contemporary Perspective.

Arvindan Sivasuriyan, Dhanasingh Sivalinga Vijayan, Parthiban Devarajan, Anna Stefańska, Saurav Dixit, Anna Podlasek, Wiktor Sitek, Eugeniusz Koda

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Arvindan SivasuriyanInstitute of Civil Engineering, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, Poland.ORCID 0000-0001-6999-2501
Dhanasingh Sivalinga VijayanDepartment of Civil Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation, Paiyanoor, Chennai 603104, India.ORCID 0000-0003-0128-5397
Parthiban DevarajanDepartment of Civil Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation, Paiyanoor, Chennai 603104, India.ORCID 0000-0002-8827-1889
Anna StefańskaInstitute of Civil Engineering, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, Poland.ORCID 0000-0002-5070-3877
Saurav DixitDivision of Research and Development, Lovely Professional University, Phagwara 144411, India.ORCID 0000-0002-6959-0008
Anna PodlasekInstitute of Civil Engineering, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, Poland.ORCID 0000-0003-0326-5672
Wiktor SitekInstitute of Civil Engineering, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, Poland.ORCID 0009-0009-2091-3708
Eugeniusz KodaInstitute of Civil Engineering, Warsaw University of Life Sciences-SGGW, 02-787 Warsaw, Poland.ORCID 0000-0002-3895-960X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, civil engineering has increasingly embraced communication tools for automation, with sensors playing a pivotal role, especially in structural health monitoring (SHM). These sensors enable precise data acquisition, measuring parameters like force, displacement, and temperature and transmit data for timely interventions to prevent failures. This approach reduces reliance on manual inspections, offering more accurate outcomes. This review explores various sensor technologies in SHM, such as piezoelectric, fibre optic, force, MEMS devices, GPS, LVDT, electromechanical impedance techniques, Doppler effect, and piezoceramic sensors, focusing on advancements from 2019 to 2024. A bibliometric analysis of 1468 research articles from WOS and Scopus databases shows a significant increase in publications, from 15 in 2019 to 359 in 2023 and 52 in 2024 (and still counting). This analysis identifies emerging trends and applications in smart sensor integration in civil and structural health monitoring, enhancing safety and efficiency in infrastructure management.

Indexed as

Micro-Electrical-Mechanical SystemsHumansMonitoring, PhysiologicautomationintegrationmonitoringsensorsSHMstructural engineering

Identifiers

PMID39771896
PMCPMC11678993

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.