The effect of non-homogeneous roughness on full-scale drag predictions

非均匀粗糙度对全尺寸阻力预测的影响

• 批准号: LP190101134
• 负责人: Prof Nicholas Hutchins
• 金额: $ 11.7万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-06-19 至 2024-06-18
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP190101134
• 关键词: effect; non; homogeneous; roughness; full

Partnering with AkzoNobel, one of the world’s leading suppliers of anti-fouling marine coatings, this project will deliver new tools for predicting the drag penalty on ships fouled by the settlement of marine organisms on the hull. All available predictions assume a homogeneous distribution of roughness. Yet we know biofouling is always patchy, hence prediction methods need an upgrade. Making a compelling business case to ship operators is contingent on such predictions, where the cost of anti-fouling solutions is weighed against that of continued operation with a rough hull. The novel tools developed here will therefore lead to increased ship efficiency by empowering ship operators to optimise hull cleaning and repainting schedules.

该项目与世界领先的反污染海洋涂料的供应商Akzonobel合作，该项目将提供新的工具，以预测船体上海洋生物的定居点对船只的阻力罚款。所有可用的预测都假设粗糙度的均匀分布。但是我们知道生物污染总是斑驳的，因此预测方法需要升级。为船运营商制定令人信服的业务案例取决于此类预测，在这种预测中，反污染解决方案的成本与持续运行的船体的持续操作权重。因此，这里开发的新工具将通过授权船舶操作员优化船体清洁和重新粉刷时间表来提高船舶效率。