An Information Mapping Algorithm for Integrating Complex Geological Models into Numerical Analysis of Engineering Excavations

The impact of complex geology on engineering excavations in modern urban construction is a topic of great interest, and modeling is a critical tool for assessing this impact. Despite the availability of information modeling tools for storing geological information and refined numerical analysis software, coupling these two types of tools to build computational models that effectively analyze the impact of geological information on engineering excavations remains challenging. This often results in critical geological information being underutilized or overlooked in the simplified process of adapting computational time and resources. This study proposes a model mapping algorithm based on the interpolation framework of numerical manifold method (NMM) that can seamlessly integrate complex geological information from a 3D geological model established by borehole big data into the numerical calculation. The algorithm's robustness is examined in terms of the spatial distribution mapping of strata and the abrupt distribution mapping of mechanical parameters. The study then discusses the influence of spatial variability of geotechnical property on the spatial effects of excavation, and verifies the effectiveness of the algorithm by comparing it with actual engineering monitoring data. The proposed algorithm can provide a refined numerical service for pre-planning underground spaces and for safety assessments during construction, effectively assessing the impact of complex geology on engineering excavations.