The cost of roughness: predicting the drag penalty of fouled ship hulls

船体表面的粗糙度是一个普遍存在的全球性问题，与理想的光滑表面相比，这会导致阻力增加高达80%。针对一个关键的能力差距，该项目旨在建立实用的工具来预测由于船体粗糙度造成的航运性能损失，只需要将船体观测作为输入。使用定制的水下表面扫描仪进行的观测将与世界上第一个基于激光在工作船舶船体上进行的流动测量相结合，并由免费的实验室实验支持。该项目将提供对船体粗糙度的先进的基本了解，并使船舶运营商和监管机构能够做出更明智的决策，从而提高航运效率。

Roughness on ship hulls is a prevalent global problem, causing up to 80% increases in resistance compared to ideal smooth surfaces. Targeting a key capability gap, this project aims to build practical tools for predicting the performance penalty in shipping due to hull roughness, requiring only hull observations as an input. Observations made with a custom-built underwater surface scanner will be combined with world-first laser-based flow measurements on the hull of an operating ship, and backed-up by complimentary laboratory experiments. This project will deliver an advanced fundamental understanding of hull roughness and enable more informed decisions for ship operators and regulatory bodies, leading to increased shipping efficiency.