Bruttini, Alessandro

Capone, Pietro

Getuli, Vito

Rahimian, Farzad

English

When dealing with complex curved geometries and massive datasets linked to linear infrastructures, manual generation and maintenance of related multidisciplinary BIM models and documentation are yet to be fully automated. This research focused on the integration of BIM and computational design into an intuitive approach for the generation of as-built models of mechanised tunnelling projects, leveraging the use of the real-time data collected by TBM. A preliminary study of the parameters was conducted to describe the curved geometry of the tunnel, then their mutual alignment was followed by the identification of additional relevant information. To automate the tunnel's BIM-based modelling process, a system of four coupled algorithms was developed and tested with a sample TBM dataset. The results demonstrate how the adoption of computational design methods drastically enhances the modelling process for infrastructure projects, allowing for the on-demand generation of as-built BIM models, reducing time and errors

Teeside University's Research Repository

On-demand generation of as-built infrastructure information models for mechanised tunnelling from TBM data: a computational design approach

https://research.tees.ac.uk/files/17190888/ON_DEMAND_GENERATION_OF_AS_BUILT_INFRASTRUCTURE.pdf

On-demand generation of as-built infrastructure information models for mechanised tunnelling from TBM data: a computational design approach

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Teeside University's Research Repository

Teeside University's Research Repository