From digital model to digital twin in tunnel construction

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.

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Publication Details

Journal
Civil Engineering Design
Published
2024-08-30
DOI
https://doi.org/10.1002/cend.202400020
Citations
6
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
5.01
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article

From digital model to digital twin in tunnel construction

Matthias Flora, Hannah Salzgeber, Larissa Schneiderbauer, Melanie Ernst
6 citations
Civil Engineering Design
3D Surveying and Cultural Heritage
5.01
article

From digital model to digital twin in tunnel construction

Matthias Flora, Hannah Salzgeber, Larissa Schneiderbauer, Melanie Ernst
article en
6 citations

Abstract

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.

Civil Engineering DesignVol. 6(3)
Universität Innsbruck (AT)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
3D Surveying and Cultural Heritage
5.01
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From digital model to digital twin in tunnel construction — Matthias Flora, Hannah Salzgeber, et al. · Civil Engineering Design (2024) | TGRS Research Map | TGRS