The manual creation of digital models of existing buildings for operations and maintenance
is difficult and time-consuming. Machine learning and deep learning techniques have …

Abstract Digital Twins (DTs) provide a promising solution for the maintenance and operation
of bridges, thanks to their ability to mirror physical/structural conditions. A bridge DT …

The incorporation of building information modeling (BIM) has brought about significant
advancements in civil engineering, enhancing efficiency and sustainability across project life …

Bridge maintenance activities benefit from digital models, provided in the interoperable IFC
format. Such a model, enriched with up-to-date information, is an enabler for a wide range of …

Reliable traffic infrastructure is a key factor for any country's economy. However, aging
bridges often require renovation or reconstruction. Promising approaches for enhancing …

Purpose Many advanced technologies applied to maintenance are aimed at data analysis
and not directly at the execution of activities. Considering the lack of studies that analyze the …

The term “digital twin” is becoming increasingly prevalent in both research and politics with
regard to infrastructure structures. Industry is making significant advancements in the fields …

Digital twins (DTs) can support the operation and maintenance process of bridges by
providing a digital model representing the actual asset in reality. The underlying semantic …

In the industrial sector, products evolve significantly over their operational life. A key
challenge has been maintaining precise, relevant engineering data. This paper explores the …

The digital twin (DT) paradigm promises to take permanent, bidirectional data exchange
between the physical asset and its digital representation into account at its core …