Year: 2024
Type: article
Abstract: This article takes a further step on the digitalization path in tunneling by implementing the concept of the digital twin and examining its potential at the three levels of real‐world integration: digital model, digital shadow, and digital twin (DT). It evaluates the current implementation of tunnel information modeling and its adoption in the infrastructure sector. The importance of structured and real‐time data synchronization through technologies such as IoT and Big Data is emphasized. It explores advancements from tunnel model to shadow to DT, emphasizing the importance of structured and data real‐time synchronization through technologies like IoT and Big Data. A comprehensive literature review highlights both technical and non‐technical barriers to the implementation of DT. Continuous improvement of DT, supported by advancements in data acquisition and analytical methods, is expected to significantly enhance tunnel construction. As a main focus, this article provides a framework for a centralized and comprehensive platform for all levels of tunnel twin development, leveraging Autodesk Platform Services. It concludes with a vision for the future, discusses emerging technologies advocating for a strategic approach to digital transformation in tunneling that leverages technological innovations for sustainable development and societal benefits.
Source: Civil Engineering Design
Institution: Universität Innsbruck
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,940
OpenAlex ID: W4402065252