In recent years, oil prices have continued to be low owing to the development of unconventional resources such as shale gas, coalbed methane gas, and tight gas. However, shipping companies are still experiencing difficulties because of recession in the shipping market. Hence, they devote considerable effort toward reducing operating costs. One of the important parameters for reducing operating costs is the frictional resistance of vessels. Generally, a vessel is covered with paint for smoothing its surface. However, frictional resistance increases with time owing to surface roughness, such as that caused by fouling. To prevent this, shipping companies periodically clean or repaint the surfaces of vessels using analyzed operating data. In addition, studies using various methods have been continuously carried out to identify this phenomenon such as fouling for managing ships more efficiently. In this study, numerical simulation was used to analyze the change in the resistance performance of a ship owing to an increase in surface roughness using commercial software, i.e., Star-CCM+, which solves the continuity and Navier–Stokes equations for incompressible and viscous flow. The conditions for numerical simulation were verified through comparison with experiments, and these conditions were applied to three ships to evaluate resistance performance according to surface roughness.

近年来，由于页岩气，煤层气和致密气等非常规资源的开发，油价一直处于低位。但是，由于航运市场的衰退，船运公司仍然遇到困难。因此，他们致力于降低运营成本。降低操作成本的重要参数之一是容器的摩擦阻力。通常，容器上涂有油漆以使其表面光滑。但是，由于表面粗糙度（例如由结垢引起的粗糙度），摩擦阻力会随时间增加。为了避免这种情况，船运公司会使用分析后的运行数据定期清洁或重涂船舶表面。此外，为了识别这种现象，例如为更有效地管理船舶而结垢，已经连续进行了各种方法的研究。在这项研究中，使用商业软件Star-CCM +解决了不可压缩和粘性流的连续性和Navier-Stokes方程，通过数值模拟分析了由于表面粗糙度增加而导致的船舶阻力性能的变化。 。通过与实验的比较验证了数值模拟的条件，并将这些条件应用于三艘船，以根据表面粗糙度评估电阻性能。即Star-CCM +，它解决了不可压缩和粘性流的连续性和Navier-Stokes方程。通过与实验的比较验证了数值模拟的条件，并将这些条件应用于三艘船，以根据表面粗糙度评估电阻性能。即Star-CCM +，它解决了不可压缩和粘性流的连续性和Navier-Stokes方程。通过与实验的比较验证了数值模拟的条件，并将这些条件应用于三艘船，以根据表面粗糙度评估电阻性能。