Effective progress monitoring is ineviTable for completing the construction of building and
infrastructure projects successfully. In this digital transformation era, with the data-centric …

Digital twins are computer programs that use real-world data to create simulations that
predict the performance of processes, products, and systems. Digital twins may integrate …

Abstract Geometric Digital Twins (GDT) represent a critical advancement in road
management, yet their practical implementation encounters a substantial obstacle due to …

Digital Twins (DT) implementation in the Built Environment (BE) industry is still in its early
stages. Aiming to increase the knowledge about DT, this study analyzes how DT can be …

The lack of timely progress monitoring and quality control contributes to cost-escalation,
lowering of productivity, and broadly poor project performance. This paper addressed the …

The paper sheds light on the process of creating and validating the digital twin of bridges,
emphasizing the crucial role of load testing, BIM models, and FEM models. At first, the paper …

Existing buildings' geometry digitisation using Point Cloud Datasets is important. This is
evident given the lack of digital as-designed models for older buildings, which can serve as …

The concept of digital twin (DT) has gained significant attention in preventive conservation
for prolonging the lifespan of cultural heritage. Focusing on preventive conservation, this …

To solve the problems of poor recognition of apparent concrete damage and the difficulty of
efficient quantitative characterization of the damage parameters, this study proposes a …

Machine learning (ML) algorithms are now part of everyday life, as many technological
devices use these algorithms. The spectrum of uses is wide, but it is evident that ML …