A Review of Data Management and Visualization Techniques for Structural Health Monitoring Using BIM and Virtual or Augmented Reality

Sadhu, Ayan; Peplinski, Jack E.; Mohammadkhorasani, Ali; Moreu, Fernando

doi:10.1061/(asce)st.1943-541x.0003498

Cited by 51 publications

(27 citation statements)

References 117 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence, before collecting any data, the optimal acquisition position was determined by utilising the virtual footprint references provided by the AR system utilised in this study. To elaborate, the emitting source of the signal was integrated within the AR tool Microsoft HoloLens manufactured by Microsoft Corporation [17]. This tool is aimed to allow exploring the surroundings in real time through visualisation of the relevant signal pattern (Figure 3-b).…”

Section: Main Equipment and Methodologymentioning

confidence: 99%

Detection of structural targets using ground-based interferometric synthetic aperture radar and augmented reality

Sotoudeh¹,

Uzor²,

Lantini³

et al. 2023

Multimodal Sensing and Artificial Intelligence: Technologies and Applications III

View full text Add to dashboard Cite

Structural Health Monitoring (SHM) is critical to ensuring the safety of structures such as bridges, tunnels, and dams. Despite some sensors being highly accurate, it is not always feasible to interrupt the serviceability of the structure for data collection. Within this framework, remote sensing methods such as the Ground-Based Interferometric Synthetic Aperture Radar (GB-SAR) have shown their capability in remotely collecting data of multiple targets simultaneously with a high sampling rate. However, detecting targets in their exact position is currently an area that requires further investigation for this technology.The present research focuses on developing a field investigation methodology to limit uncertainties and raise awareness about the significance of data collected by GB-SAR aided by augmented reality (AR). To this effect, headmounted and mobile AR can support the use of techniques, such as GB-SAR, which work on fundamental geometrical principles, by providing guidance markers in real time for positional and reference information. The integration of both technologies can allow to pre-visualise the optimal position for data collection by aiding to match the structural targets under investigation within the area of interest.The proposed methodology is here implemented in clinical laboratory conditions to investigate the sensor' sensitivity against testing parameters, such as the radar position and the distance to targets. The proposed methodology will contribute to collecting data with a higher accuracy and a lower uncertainty compared to other non-destructive methods utilised in the field. This study demonstrates the potential of using AR to enhance remote sensing methods for SHM and it builds up the foundation for future development into a more comprehensive SHM approach.

show abstract

Section: Main Equipment and Methodologymentioning

confidence: 99%

Detection of structural targets using ground-based interferometric synthetic aperture radar and augmented reality

Sotoudeh¹,

Uzor²,

Lantini³

et al. 2023

Multimodal Sensing and Artificial Intelligence: Technologies and Applications III

View full text Add to dashboard Cite

show abstract

“…Ren et al (2022) and Malek et al (2023) propose a method for a real-time crack detection system with an AR interface, in real-time, and with no need for an external processing device. The authors in Sadhu et al (2023) utilize in their research both AR and VR in combination with BIM technologies for structural health monitoring.…”

Section: Ar and Robotics In Road Maintenancementioning

confidence: 99%

“…The authors in Sadhu et al. (2023) utilize in their research both AR and VR in combination with BIM technologies for structural health monitoring.…”

Section: Literature Reviewmentioning

confidence: 99%

Augmented reality‐based method for road maintenance operators in human–robot collaborative interventions

Bavelos,

Anastasiou,

Dimitropoulos

et al. 2024

Computer aided Civil Eng

View full text Add to dashboard Cite

Road maintenance operators often work in dangerous environments and are in need of a support system to enhance their safety and efficiency. Augmented reality (AR) has proven to be useful in providing support to operators in various industrial sectors. However, the vast majority of the existing applications focus mainly on static, controlled environments, such as industrial shopfloors, although the dynamic flow of information that AR can provide could be very valuable to unstructured, dynamic environments. This paper presents a novel AR—based methodology for human–robot collaboration, real‐time instructions, and support for road maintenance operations, aiming to enhance operator safety and efficiency. A robot operating system‐based architecture is exploited for the communication of the modules. The methodology is tested in a laboratory environment, and the results validate the hypothesized enhancement of road operators. In the future, the application will be validated on real interventions in highways.

show abstract

“…This topic has been recently investigated in the literature [12,13]. Augmented reality (AR) has proven to be a lucrative technology in the inspection and monitoring of civil structures [14,15]. Its capability of illustrating real-time information interactively with the user lends itself to be considered as an ideal technology for the on-site control of GB-SAR measurements on structures.…”

Section: Introductionmentioning

confidence: 99%

A study into the integration of AR-based data collection and multi-dimensional signal processing methods for GB-SAR target detection

Sotoudeh,

Benedetto,

Uzor

et al. 2023

Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023)

View full text Add to dashboard Cite

A Review of Data Management and Visualization Techniques for Structural Health Monitoring Using BIM and Virtual or Augmented Reality

Cited by 51 publications

References 117 publications

Detection of structural targets using ground-based interferometric synthetic aperture radar and augmented reality

Detection of structural targets using ground-based interferometric synthetic aperture radar and augmented reality

Augmented reality‐based method for road maintenance operators in human–robot collaborative interventions

A study into the integration of AR-based data collection and multi-dimensional signal processing methods for GB-SAR target detection

Contact Info

Product

Resources

About