Stochastic Modelling of Corrosion Process for Service Life Prediction of Civil Infrastructure

该建议寻求支持访问学者，使联合调查进行开发的随机模型的钢筋腐蚀在现实的混凝土结构的整个过程。所开发的模型将很容易地用于易腐蚀基础设施的使用寿命预测，特别是现有的基础设施，延长寿命具有重要意义。拟议的研究是最近完成的EPSRC项目（GR/R28348）的后续行动，该项目旨在为沿海混凝土结构制定风险成本优化的维护策略。随着受腐蚀影响的基础设施的使用寿命预测的基于概率的框架变得更加成熟，腐蚀过程/问题原因/的合理和可用模型的缺乏变得显而易见。拟议的工作将通过提供腐蚀过程的定量模型来解决这一差距。在这方面的研究是必要的和及时的，因为钢筋腐蚀的混凝土基础设施将最终降低其承载能力，而基础设施承载更大的负载的需求正在增加。这对广大公众造成了基础设施过早和/或意外故障的潜在风险。腐蚀随机模型的开发可以帮助资产管理人员准确预测基础设施的安全剩余使用寿命，从而减轻对公众的不当风险。

This proposal seeks support for a Visiting Fellow to enable a joint investigation to be carried out for the development of a stochastic model for the whole process of reinforcement corrosion in realistic concrete structures. The developed model will be readily used in the service life prediction of corrosion prone infrastructure, particularly existing infrastructure for which life extension is of great significance. The proposed research is a follow-up to a recently completed EPSRC project (GR/R28348) on developing a risk-cost optimised maintenance strategy for coastal concrete structures. As probability-based frameworks for service life prediction of corrosion affected infrastructure become more established, the paucity of rational and useable models for corrosion processes / the cause of the problem / becomes apparent. The proposed work will address this gap by delivering a quantitative model for corrosion process. Research in this area is necessary and timely because the reinforcement corrosion in concrete infrastructure will eventually reduce its load carrying capacity, whereas demands for infrastructure to carry greater load are increasing. This poses a potential risk of premature and/or unexpected failures of infrastructure to the public at large. The development of a stochastic model for corrosion can assist asset managers to accurately predict the safe remaining service life of infrastructure and as such mitigate undue risk to the public.