Integrated parametric multi-level information and numerical modelling of mechanised tunnelling projects

Ninić, Jelena; Koch, Christian; Vonthron, Andre; Tizani, Walid; König, Markus

Abstract

This paper presents a concept for parametric modelling of mechanized tunnelling within a state of the art design environment, as the basis for design assessments for different levels of details (LoDs). To this end, a parametric representation of each system component (soil with excavation, tunnel lining with grouting, Tunnel Boring Machine (TBM) and buildings) is developed in an information model for three LoDs (high, medium and low) and used for the automated generation of numerical models of the tunnel construction process and soil-structure interaction. The platform enables a flexible, user-friendly generation of the tunnel structure for arbitrary alignments based on predefined structural templates for each component, supporting the design process and at the same time providing an insight into the stability and safety of the design. This model, with selected optimal LoDs for each component, dependent on the objective of the analysis, is used for efficient design and process optimisation in mechanized tunnelling. Efficiency and accuracy are further demonstrated through an error-free exchange of information between Building Information Modelling (BIM) and the numerical simulation and with significantly reduced computational effort. The interoperability of the proposed multi-level framework is enabled through the use of an efficient multi-level representation context of the Industry Foundation Classes (IFC). The results reveal that this approach is a major step towards sensible modelling and numerical analysis of complex tunnelling project information at the early design stages.

Citation

Ninić, J., Koch, C., Vonthron, A., Tizani, W., & König, M. (2020). Integrated parametric multi-level information and numerical modelling of mechanised tunnelling projects. Advanced Engineering Informatics, 43, Article 101011. https://doi.org/10.1016/j.aei.2019.101011

• Journal Article Type: Article
• Acceptance Date: Nov 2, 2019
• Online Publication Date: Nov 13, 2019
• Publication Date: 2020-01
• Deposit Date: Nov 6, 2019
• Publicly Available Date: Nov 14, 2020
• Journal: Advanced Engineering Informatics
• Print ISSN: 1474-0346
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 43
• Article Number: 101011
• DOI: https://doi.org/10.1016/j.aei.2019.101011
• Keywords: Artificial Intelligence; Information Systems
• Public URL: https://nottingham-repository.worktribe.com/output/3069512
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S1474034619305841
• Additional Information: This article is maintained by: Elsevier; Article Title: Integrated parametric multi-level information and numerical modelling of mechanised tunnelling projects; Journal Title: Advanced Engineering Informatics; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.aei.2019.101011; Content Type: article; Copyright: © 2019 Elsevier Ltd. All rights reserved.