High Fidelity Computational Nuclear Engineering

该项目将重点结合多学科计算方法，以获得一系列通用核系统的解决方案，如燃料流体流动后处理、混合器沉淀器和液-液萃取柱，这些系统在退役和废物管理行业中经常遇到。鉴于这些数值解的基本性质，还将对从中得到的信息进行分析，以便更好地了解一系列实际相关的系统，这些系统在设计改进的处理方法时具有价值。关键目标是扩展一个基于多学科模拟的预测模型，包括优化方法，如实验设计和替代建模技术，能够预测核中遇到的热流体流动系统的类型。该项目的结果将是一系列替代模型，这些模型有助于提供对此类系统的基本理解，并可用于验证行业内使用的预测方法。特别是后者，使那些使用简化预测技术的人有机会通过参与一项倡议来加强他们的质量保证和技术卓越证书，该倡议消除了由于建模中应用的必要近似而导致的潜在错误。

The project will focus on combining computational multi-disciplinary approaches to obtain solutions to a range of generic nuclear systems such as fuel fluid flow reprocessing, mixer settler and liquid-liquid extraction columns encountered in the industry for decommissioning and waste management. Given the fundamental nature of such numerical solutions, the information derived from them will also be analysed to provide improved understanding of a range of practically relevant systems, of value in the design of improved treatment methods.The key aim is to extend a predictive model, based on multi-disciplinary simulations, to include optimisation approaches such design of experiment and surrogate modelling techniques, capable of predicting the types of thermal fluid flow systems encountered in nuclear.The outcomes of the project will be a series of surrogate models which are useful in providing fundamental understanding of such systems, as well as being available for use in the validation of the predictive approaches used within the industry. The latter, in particular, gives those using simplified predictive techniques the opportunity to reinforce their quality assurance and technical excellence credentials by getting involved in an initiative that removes the potential for error due to the necessary approximations applied in modelling.