Abstract:
Objectives IoT technology is used to build up a digital twin model to comprehensively and directly reflect the corrosion process of metal structure in the whole life-cycle, realize the intelligent prediction and maintenance of metal corrosion, and improve the reliability of metal structure work.
Methods Combining a finite element model with a real-time data-driven model, a hybrid digital twin model of the atmospheric corrosion process and an experimental platform design scheme of IoT monitoring are proposed to establish a link between the corrosion digital simulation and the actual corrosion process.
Results A physical corrosion model is combined with a real-time data-driven corrosion model into a "hybrid digital twin" which can realize the whole life-cycle management of metal structures and
Conclusion The hybrid digital twin model combining real-time data-driven and physical models can provide references for corrosion research and the application of corrosion prevention technology.
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