An adaptive surface for improved modelling of rough wall bounded turbulence

该项目旨在改善流体流过粗糙表面时阻力的预测。这是一个重要的问题，仅航运的阻力损失预测的不确定性每年就超过100亿美元。这些流动的社会重要性要求采取行动，但必须寻求新的方法来有效地探索在实践中遇到的各种粗糙度类型。提出了一种自适应表面，其中粗糙度配置可以在按下按钮时拨入，以快速收敛于改进的模型。该项目的一个关键成果将是改进粗糙壁流阻力的预测模型。其好处将包括提高效率和减少广泛行业的排放。

This project aims to improve the prediction of drag where fluid flows over rough surfaces. This is a significant problem, with the uncertainty in drag penalty prediction for shipping alone exceeding ten billion dollars annually. The societal importance of these flows demands action, yet novel approaches must be sought to efficiently explore the wide range of roughness types encountered in practice. An adaptive surface is proposed, where a roughness configuration can be dialled in at the press of a button, to rapidly converge on improved models. A key outcome of this project will be improved predictive models of drag for rough wall flows. Benefits will include improved efficiencies and reduced emissions across a wide range of industries.