A BIM-based framework for automatic numerical modelling and geotechnical analysis of a large-scale deep excavation for transportation infrastructures

Abstract

Abstract Employing emerging information and communication technologies such as building information modelling (BIM) to streamline engineering design and analysis has been mainstream over the past several years. Although BIM models are well established for aboveground infrastructures, underground BIM is still in its infancy. On one hand, valuable subsurface ground models are missing in current BIM applications as site-specific geotechnical data are often sparse and limited. On the other hand, BIM has been mainly used as a visualization tool for concise representation of design and construction data, and it has not been integrated and utilized to assess geotechnical risks associated with underground infrastructures. This paper proposes a BIM-based approach for automatic numerical modelling and geotechnical analysis. Structural information (e.g. geometries) of different project BIMs are grouped, exported, and saved, which provides a unified interface for automatic information extraction using computer codes (e.g. Python). Subsequently, subsurface ground models generated from sparse data are integrated with extracted basic geometric properties for automatic geotechnical model setup and finite element analysis. The performance of the proposed framework is illustrated using a real deep excavation project. It is revealed that BIM, as a data repository, enables timely and accurate information exchange between structural and geotechnical models in an automatic manner, which emphasizes the need of a BIM-based approach for assessing and managing geotechnical risks associated with deep excavations for underground transportation infrastructures, especially in the urban context.