Exploring the impact of digital twin technology in infrastructure management: a comprehensive review

Shi Qiu; Qasim Zaheer; Fahad Ali; Saif Wajid; Hualiang Chen; Chengbo Ai; Jin Wang

doi:10.3846/jcem.2025.23718

Journal of Civil Engineering and Management (Apr 2025)

Exploring the impact of digital twin technology in infrastructure management: a comprehensive review

Shi Qiu,
Qasim Zaheer,
Fahad Ali,
Saif Wajid,
Hualiang Chen,
Chengbo Ai,
Jin Wang

Affiliations

Shi Qiu: School of Civil Engineering, Central South University, 410075 Changsha, China; MOE Key Laboratory of Engineering Structures of Heavy-haul Railway, Central South University, 410075 Changsha, China; Center for Railway Infrastructure Smart Monitoring and Management, Central South University, 410075 Changsha, China
Qasim Zaheer: School of Civil Engineering, Central South University, 410075 Changsha, China; MOE Key Laboratory of Engineering Structures of Heavy-haul Railway, Central South University, 410075 Changsha, China; Center for Railway Infrastructure Smart Monitoring and Management, Central South University, 410075 Changsha, China
Fahad Ali: University of Engineering and Technology, Peshawar, Pakistan
Saif Wajid: School of Civil Engineering, Central South University, 410075 Changsha, China; MOE Key Laboratory of Engineering Structures of Heavy-haul Railway, Central South University, 410075 Changsha, China; Center for Railway Infrastructure Smart Monitoring and Management, Central South University, 410075 Changsha, China
Hualiang Chen: GuangXi Railway Investment Group Co. Ltd, China
Chengbo Ai: Department of Civil and Environmental Engineering, University of Massachusetts, Amherst, MA 01003, USA
Jin Wang: School of Civil Engineering, Central South University, 410075 Changsha, China; MOE Key Laboratory of Engineering Structures of Heavy-haul Railway, Central South University, 410075 Changsha, China; Center for Railway Infrastructure Smart Monitoring and Management, Central South University, 410075 Changsha, China

DOI: https://doi.org/10.3846/jcem.2025.23718
Journal volume & issue: Vol. 31, no. 4

Abstract

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This paper examines the role of Digital Twin Technology (DTT) in transforming infrastructure management, with a focus on sustainability. It highlights how advancements in Artificial Intelligence (AI), Building Information Modeling (BIM), and the Internet of Things (IoT) are driving the effectiveness of Digital Twins in real-world applications. Through detailed case studies, the paper showcases the practical benefits of DTT across various infrastructure sectors. It also evaluates current trends and strategies for enhancing DTT integration into infrastructure systems. The research reveals a striking 80% increase in DTT-related publications from 2019 to 2024, with Asia, particularly China, leading in contributions. The paper concludes by addressing the future potential, challenges, and risks of DTT, offering valuable insights for stakeholders aiming to optimize infrastructure management in the digital era.

Published in Journal of Civil Engineering and Management

ISSN: 1392-3730 (Print); 1822-3605 (Online)
Publisher: Vilnius Gediminas Technical University
Country of publisher: Lithuania
LCC subjects: Technology: Building construction
Website: https://journals.vilniustech.lt/index.php/JCEM

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