李华峰, 刘炎, 陈建如, 等. 基于碳钢腐蚀的混合数字孪生的设计与实现[J]. 中国舰船研究, 2021, 16(5): 230–237. doi: 10.19693/j.issn.1673-3185.02008
引用本文: 李华峰, 刘炎, 陈建如, 等. 基于碳钢腐蚀的混合数字孪生的设计与实现[J]. 中国舰船研究, 2021, 16(5): 230–237. doi: 10.19693/j.issn.1673-3185.02008
LI H F, LIU Y, CHEN J R, et al. Design and Realization of hybrid digital twin based on carbon steel corrosion[J]. Chinese Journal of Ship Research, 2021, 16(5): 230–237. doi: 10.19693/j.issn.1673-3185.02008
Citation: LI H F, LIU Y, CHEN J R, et al. Design and Realization of hybrid digital twin based on carbon steel corrosion[J]. Chinese Journal of Ship Research, 2021, 16(5): 230–237. doi: 10.19693/j.issn.1673-3185.02008

基于碳钢腐蚀的混合数字孪生的设计与实现

Design and Realization of hybrid digital twin based on carbon steel corrosion

  • 摘要:
      目的  利用物联网技术及构建数字孪生模型,全面直接地反映全寿期内的金属结构腐蚀过程,实现对金属腐蚀的智能预测及维护,提高金属结构工作的可靠性。
      方法  将有限元模型与实时数据驱动结合,提出一种大气腐蚀过程的混合数字孪生模型和物联网监测的实验平台设计方案,建立腐蚀数字化仿真与实际腐蚀过程的联系。
      结果  通过将腐蚀物理建模与腐蚀实时数据驱动的结合,将二者组合成为一个“混合数字孪生体”,可实现对金属结构的全寿期管理。
      结论  实时数据驱动与物理模型结合的混合数字孪生可为腐蚀研究及防腐蚀技术的应用提供借鉴。

     

    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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