BIM modelling and operation & maintenance management of large-scale bridges: a CATIA-based approach

In response to slow information updates, low data consistency, and long system response times in the operation and maintenance of super large bridges, this study proposes a CATIA-based bridge modelling and management system. The system adopts a bottom-up design framework and integrates parametric family files, automated assembly, and CATIA-Excel-Python linkage to support rapid model creation and real-time defect updates. Performance tests show that the system achieves superior efficiency compared with existing platforms, with a modelling speed of 1.5 models per hour, an information update delay of 5 min, data consistency of 98.7%, and a system response time of 0.5 s. A six-year engineering application on a major bridge in Shanxi Province further verifies the system’s advantages: operation and maintenance costs rose moderately from 1.5 to 2.3 million yuan, representing nearly 40% savings compared with conventional systems whose costs increased from 2.4 to 4.1 million yuan. In addition, the proposed system achieved higher scores in safety, cost-effectiveness, and robustness (85, 78, and 82 out of 100, respectively). Overall, the CATIA-based system effectively enhances data processing efficiency, reduces long-term maintenance costs, improves structural safety, and offers a practical and intelligent solution for full-lifecycle management of super large bridges.