Approach Towards the Development of Digital Twin for  Structural Health Monitoring of Civil Infrastructure: A Comprehensive Review

Sun, Zhiyan; Jayasinghe, Sanduni; Sidiq, Amir; Shahrivar, Farham; Mahmoodian, Mojtaba; Setunge, Sujeeva

doi:10.3390/s25010059

Open AccessReview

Approach Towards the Development of Digital Twin for Structural Health Monitoring of Civil Infrastructure: A Comprehensive Review

by

Zhiyan Sun

,

Sanduni Jayasinghe

,

Amir Sidiq

,

Farham Shahrivar

,

Mojtaba Mahmoodian

^* and

Sujeeva Setunge

School of Engineering, RMIT University, 124 La Trobe Street, Melbourne, VIC 3000, Australia

^*

Author to whom correspondence should be addressed.

Sensors 2025, 25(1), 59; https://doi.org/10.3390/s25010059

Submission received: 24 November 2024 / Revised: 23 December 2024 / Accepted: 24 December 2024 / Published: 25 December 2024

(This article belongs to the Section Internet of Things)

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Abstract

Civil infrastructure assets’ contribution to countries’ economic growth is significantly increasing due to the rapid population growth and demands for public services. These civil infrastructures, including roads, bridges, railways, tunnels, dams, residential complexes, and commercial buildings, experience significant deterioration from the surrounding harsh environment. Traditional methods of visual inspection and non-destructive tests are generally undertaken to monitor and evaluate the structural health of the infrastructure. However, these methods lack reliability due to the need for instrumentation calibration and reliance on subjective visual judgments. Digital twin (DT) technology digitally replicates existing infrastructure, offering significant potential for real-time intelligent monitoring and assessment of structural health. This study reviews the existing applications of DTs across various sectors. It proposes an approach for developing DT applications in civil infrastructure, including using the Internet of Things, data acquisition, and modelling, together with the platform requirements and challenges that may be confronted during DT development. This comprehensive review is a state-of-the-art review of advancements and challenges in DT technology for intelligent monitoring and maintenance of civil infrastructure.

Keywords: digital twin; civil infrastructure; structural health monitoring; virtual model; asset management

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MDPI and ACS Style

Sun, Z.; Jayasinghe, S.; Sidiq, A.; Shahrivar, F.; Mahmoodian, M.; Setunge, S. Approach Towards the Development of Digital Twin for Structural Health Monitoring of Civil Infrastructure: A Comprehensive Review. Sensors 2025, 25, 59. https://doi.org/10.3390/s25010059

AMA Style

Sun Z, Jayasinghe S, Sidiq A, Shahrivar F, Mahmoodian M, Setunge S. Approach Towards the Development of Digital Twin for Structural Health Monitoring of Civil Infrastructure: A Comprehensive Review. Sensors. 2025; 25(1):59. https://doi.org/10.3390/s25010059

Chicago/Turabian Style

Sun, Zhiyan, Sanduni Jayasinghe, Amir Sidiq, Farham Shahrivar, Mojtaba Mahmoodian, and Sujeeva Setunge. 2025. "Approach Towards the Development of Digital Twin for Structural Health Monitoring of Civil Infrastructure: A Comprehensive Review" Sensors 25, no. 1: 59. https://doi.org/10.3390/s25010059

APA Style

Sun, Z., Jayasinghe, S., Sidiq, A., Shahrivar, F., Mahmoodian, M., & Setunge, S. (2025). Approach Towards the Development of Digital Twin for Structural Health Monitoring of Civil Infrastructure: A Comprehensive Review. Sensors, 25(1), 59. https://doi.org/10.3390/s25010059

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Approach Towards the Development of Digital Twin for Structural Health Monitoring of Civil Infrastructure: A Comprehensive Review

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