Innovative technologies for structural health monitoring of SFTs: proposal of combination of infrared thermography with mixed reality

Palma, Vittorio; Iovane, Giacomo; Hwang, Soonkyu; Mazzolani, Federico M.; Landolfo, Raffaele; Sohn, Hoon; Faggiano, Beatrice

doi:10.1007/s13349-023-00698-1

Cited by 4 publications

(5 citation statements)

References 45 publications

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“…Fiber Optic Sensing (FOS) is an alternative technology to traditional SHM techniques. Over the traditional sensors, FOS has many advantages including low cost, less weight, low maintenance and is often used for continuous SHM [11]. They can be used in most of the infrastructures including offshore platforms as their measurements are not influenced by environmental conditions or vibrations.…”

Section: Optical Sensorsmentioning

confidence: 99%

“…InfraRed (IR) thermography is a simple, fast, non-destructive and practical technique for damage detection of structures on the surface or subsurface. As it is also a noncontact technique, it is very effective for composite materials to detect small defects on the surfaces and subsurfaces [11]. However, it cannot detect the depth of the cracks and is less effective in detecting internal defects.…”

Section: Infrared Thermographic Sensorsmentioning

confidence: 99%

“…Sensors 2023, 23, x FOR PEER REVIEW 9 of 31 surfaces and subsurfaces [11]. However, it cannot detect the depth of the cracks and is less effective in detecting internal defects.…”

Section: Infrared Thermographic Sensorsmentioning

confidence: 99%

“…Recent trends in SHM lean more towards non-destructive methods due to advancements in sensors and data processing technologies [1,[9][10][11]. Advances in sensor technology and data analytics have made it easier to collect and process large volumes of data from nondestructive monitoring.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices

Preethichandra,

Suntharavadivel,

Kalutara

et al. 2023

Sensors

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Recent developments in networked and smart sensors have significantly changed the way Structural Health Monitoring (SHM) and asset management are being carried out. Since the sensor networks continuously provide real-time data from the structure being monitored, they constitute a more realistic image of the actual status of the structure where the maintenance or repair work can be scheduled based on real requirements. This review is aimed at providing a wealth of knowledge from the working principles of sensors commonly used in SHM, to artificial-intelligence-based digital twin systems used in SHM and proposes a new asset management framework. The way this paper is structured suits researchers and practicing experts both in the fields of sensors as well as in asset management equally.

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Section: Optical Sensorsmentioning

confidence: 99%

Section: Infrared Thermographic Sensorsmentioning

confidence: 99%

“…Sensors 2023, 23, x FOR PEER REVIEW 9 of 31 surfaces and subsurfaces [11]. However, it cannot detect the depth of the cracks and is less effective in detecting internal defects.…”

Section: Infrared Thermographic Sensorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices

Preethichandra,

Suntharavadivel,

Kalutara

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Ref. [ 25 ] explored the possibility of connecting infrared thermography with AR to enhance the visualization of SHM information. With Unity, a primary tool in developing HL applications, a user interface was developed using the main camera, allowing users to look around their virtual environment and thermal views were shown as 3D objects in the virtual Unity environment.…”

Section: Introductionmentioning

confidence: 99%

Augmented Reality-Based Real-Time Visualization for Structural Modal Identification

Carter,

Sakr,

Sadhu

2024

Sensors

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In the era of aging civil infrastructure and growing concerns about rapid structural deterioration due to climate change, the demand for real-time structural health monitoring (SHM) techniques has been predominant worldwide. Traditional SHM methods face challenges, including delays in processing acquired data from large structures, time-intensive dense instrumentation, and visualization of real-time structural information. To address these issues, this paper develops a novel real-time visualization method using Augmented Reality (AR) to enhance vibration-based onsite structural inspections. The proposed approach presents a visualization system designed for real-time fieldwork, enabling detailed multi-sensor analyses within the immersive environment of AR. Leveraging the remote connectivity of the AR device, real-time communication is established with an external database and Python library through a web server, expanding the analytical capabilities of data acquisition, and data processing, such as modal identification, and the resulting visualization of SHM information. The proposed system allows live visualization of time-domain, frequency-domain, and system identification information through AR. This paper provides an overview of the proposed technology and presents the results of a lab-scale experimental model. It is concluded that the proposed approach yields accurate processing of real-time data and visualization of system identification information by highlighting its potential to enhance efficiency and safety in SHM by integrating AR technology with real-world fieldwork.

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Integration of Bridge Health Monitoring System With Augmented Reality Application Developed Using 3D Game Engine–Case Study

Fawad,

Salamak,

Hanif

et al. 2024

IEEE Access

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In recent times, digital transformations and Industry 4.0 have revolutionized real-time bridge monitoring and its inspection. The use of smart Structural Health Monitoring (SHM) techniques is becoming powerful with the competencies of Building Information Modeling (BIM) tools, Artificial Intelligence (AI), Internet of Things (IoT), and Virtual/Augmented (VR/AR) technologies. However, the lack of interconnectivity between these tools limits their functionality. This research has addressed this problem by developing an integrated framework to assess serviceability and implement a smart SHM for a newly constructed extradosed bridge. Using Finite Element Analysis (FEA), the study proposes an integrated SHM system that utilizes various IoT sensors, including Wired Strain Gauges (WSG), Liquid Levelling Sensors (LLS), MEMS accelerometers, and a Weather Monitoring Station (WMS) to monitor concrete deformations, vertical displacements, structural vibrations, and weather conditions. BIM tool is used to develop the virtual replica of the proposed SHM system which is then used in the 3D Game Engine (GE) to develop an AR application. This application is then successfully deployed and tested in the AR headset (HoloLens) where its capabilities for onsite bridge health monitoring are discovered. This approach overcomes the limitations of HoloLens devices by providing real-time access to SHM data through a web platform, enabling on-site or remote AR-based bridge health monitoring. Conclusively, this paper emphasizes the numerical modeling of bridges for the design of a health monitoring system, that highlights the importance of robust SHM techniques in assessing bridge conditions. Moreover, it introduces a novel approach for smart bridge inspection and onsite visualization of structural defects in an AR environment.

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Innovative technologies for structural health monitoring of SFTs: proposal of combination of infrared thermography with mixed reality

Cited by 4 publications

References 45 publications

Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices

Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices

Augmented Reality-Based Real-Time Visualization for Structural Modal Identification

Integration of Bridge Health Monitoring System With Augmented Reality Application Developed Using 3D Game Engine–Case Study

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