Corrosion Inhibition Strategies for Product Store Environment

这一博士项目的中心是开发一种新的缓蚀战略，并将其应用于核产品储存的基础设施。其想法是将新的表征技术和评估方法与化学、电化学和腐蚀科学相结合，以了解哪些化学物质可以用于抑制损伤扩展。高光谱成像将与拉曼光谱、化学分析和三维地形数据(三维点云)的数据融合相结合，以生成腐蚀地点的虚拟模型。然后将探索这些数据以模拟抑制策略，目的是固定液体腐蚀产物。极值统计将用来评估表面腐蚀和暴露时间的影响，目的是获得一个预测模型，以了解材料的性能。该项目将把化学、物理、数据处理与腐蚀科学和材料工程结合起来。

This PhD project is centred on developing a novel corrosion inhibition strategy with application to infrastructure for the storage of nuclear products. The idea is to combine novel characterisation techniques and assessment approaches with chemistry, electrochemistry and corrosion science, to understand which chemicals can be used for inhibiting damage propagation. Hyper-spectral imaging will be combined with Raman spectroscopy, chemical analysis, and data-fusion of 3D topography data (3D point cloud) to generate a virtual model of corrosion sites. These data will then be explored for simulating an inhibition strategy, with the aim to immobilise liquid corrosion products. Extreme value statistics will be employed to assess the effect of surface corrosion and exposure time , with the aim to obtain a predictive model for understanding material performance. The project will combine chemistry, physics, data processing, with corrosion science and materials engineering.