Intelligent operation monitoring and finite element coupled identification of hyperstatic structures

The safety, longevity, and healthy operation and maintenance of world-class large bridges are a research hotspot that continues to attract attention from academia and industry. In particular, during the sustainable operation period of large and statically indeterminate bridges under various loads and complex environmental conditions, it is necessary to establish an information-based intelligent structural health monitoring and early warning cloud platform system to ensure the safety and economic efficiency of in-service bridges. Through interdisciplinary research in computer science, communication engineering, automation control, and engineering mechanics, this article established a multi-factor complex modal multi-source theoretical model and applied the real-time early warning of bridge monitoring data and the coupling of finite element models to verify the robustness of the intelligent cloud model under the influence of multiple factors on statically indeterminate bridges. This work solves the technical barriers that traditional technical monitoring cannot achieve continuous real-time, spatiotemporal and remote monitoring of statically indeterminate structures, and realizes an intelligent cloud platform model for spatial, direct and automated monitoring, providing scientific and technological guarantees for the healthy maintenance of super-large bridges, and providing theoretical scientific support and paradigms for saving labour and reducing maintenance costs.