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Review
. 2024 Dec 21;24(24):8161.
doi: 10.3390/s24248161.

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

Affiliations
Review

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

Arvindan Sivasuriyan et al. Sensors (Basel). .

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.

Keywords: SHM; automation; integration; monitoring; sensors; structural engineering.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Depiction of the system setup and signal flow within the structural health monitoring (SHM) system. The components include PZT (lead zirconate titanate) sensors and a personal computer (PC). Adapted from Ref. [18].
Figure 2
Figure 2
Sequence of SHM in multi-story buildings.
Figure 3
Figure 3
Depiction of the sensors and communication in various industries.
Figure 4
Figure 4
Illustration of the yearly scientific publications on integrating smart sensor technologies in SHM.
Figure 5
Figure 5
An example of the most frequently referenced nations is an article on integrating smart sensor technologies in SHM.
Figure 6
Figure 6
Illustration demonstrating the nation’s scientific output of papers on integrating smart sensor technologies in SHM.
Figure 7
Figure 7
Illustration of the nations where the corresponding author researches integrating smart sensor technologies in SHM.
Figure 8
Figure 8
An illustration of the key terms from the publications on integrating smart sensor technologies in SHM.
Figure 9
Figure 9
An example of how frequently the most pertinent terms are used in publications about integrating smart sensor technologies in SHM.
Figure 10
Figure 10
Illustration of the most pertinent keywords in bibliometric research on integrating smart sensor technologies in SHM.
Figure 11
Figure 11
Fibre optic sensor for SHM application.
Figure 12
Figure 12
Piezoceramic sensors in concrete.
Figure 13
Figure 13
Force sensors and their components for SHM application.
Figure 14
Figure 14
MEMS for acceleration monitoring.
Figure 15
Figure 15
Concrete beam experiment using LVDT.
Figure 16
Figure 16
EMI techniques to measure cracks in beams.
Figure 17
Figure 17
Doppler effect techniques in SHM.

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