This study explores the transformative impact of digital twin (DT) technology on structural asset lifecycle management. The primary aim of this research is to empirically evaluate the impact of DT technology on the lifecycle management of structural assets. The study specifically investigates how key DT components – such as data integration, real-time monitoring, predictive maintenance and interoperability – enhance operational efficiency, cost control and risk management.
A multistage methodology was employed, incorporating expert interviews and a comprehensive survey of 231 respondents. Principal component analysis (PCA) and bootstrapping analysis were applied to analyze the data and uncover significant patterns and relationships.
The results demonstrate a significant positive impact of DT technology on lifecycle management outcomes, with operational efficiency achieving a strong effect size (O = 0.878, variance inflation factor [VIF] = 2.278). These findings highlight the potential of DTs to revolutionize asset management by improving efficiency, enhancing cost control and reducing risks.
This research contributes to the growing body of literature on disruptive technologies in asset management by providing actionable insights for improved asset performance. It emphasizes the need to transition from conventional, reactive methods to innovative, data-driven strategies using DT technology.
