Three-dimensional geological body numerical model–control information model mapping: a broken-chain correction method

Three-dimensional (3D) geological numerical models and control information models play important roles in numerical analysis, engineering information organization, and visual representation, and are therefore essential in intelligent engineering and geological hazard assessment. However, during the mapping of numerical results from numerical models to control information models, differences in data structures, topological organization, attribute representation rules, and storage formats often lead to "broken chain" problems, such as discontinuous attribute information, missing structural relationships, and abnormal geometric representation, thereby affecting the accurate expression and effective application of numerical results. To address this issue, this study proposes a rule-driven broken-chain correction method for mapping between 3D geological numerical models and control information models. Focusing on the one-way transfer of numerical simulation software results to a front-end control information model, the proposed method identifies data variations at both the attribute and structural levels during the mapping process, and combines rule-based correction with prior-mesh topology reconstruction to achieve reliable representation of numerical results in the target environment. The reconstructed nodes, patches, and attribute information are further organized into structured data that support loading, visualization, and information management. Using a pile-foundation engineering case in Southwest China, the proposed method was validated based on an numerical model and a front-end control information model implemented with JSON and Three.js/WebGL. The results show that the method can effectively restore model topology, suppress local topological disorder and self-intersection, and preserve the key numerical characteristics of nodal attributes during cross-platform mapping. Further reliability analysis indicates that, under attribute datasets of different sizes, the proposed method exhibits good topology correction performance and stable attribute mapping while satisfying the requirements of visualization. This study provides a feasible technical pathway for the cross-platform transfer of 3D geological numerical results to control information models, and also offers methodological support for the organization, visualization, and collaborative application of geotechnical engineering information in multi-software environments.