five

Predicting practical ship powering and speed loss in waves using added resistance test results

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/Predicting_practical_ship_powering_and_speed_loss_in_waves_using_added_resistance_test_results/27269994
下载链接
链接失效反馈
官方服务:
资源简介:
This paper introduces a practical technique for accurately estimating ship propulsion and speed loss in the presence of waves. Utilising the previously established self-propulsion estimation framework, our approach enhances the method, which previously solely considered bare hull resistance, propeller performance, thrust deduction factor, and wake fraction, by incorporating added resistance test results. The full-scale DTC container ship is the focus of our investigation, providing a thorough examination of its performance in different sea states. The model's predictive abilities are enhanced by incorporating test data on added ship resistance, and it addresses a crucial aspect that is generally disregarded while estimating self-propulsion. This research is considered to be a contribution to the advancement of ship hydrodynamics, as it offers a practical and reliable tool for ship designers, operators, and researchers to accurately assess powering requirements and speed loss in harsh ocean conditions.

本论文介绍了一种可在海浪环境下精准估算船舶推进性能与航速损失的实用技术。本研究依托已确立的自航估算框架,对仅考量裸船体阻力、螺旋桨性能、推力减额因子及伴流分数的原有自航估算方法进行改进,通过纳入船舶附加阻力试验结果完善了原流程。本研究以实尺度DTC集装箱船为核心研究对象,全面考察其在不同海况下的航行性能。通过融入船舶附加阻力试验数据,该模型的预测能力得到显著增强,同时填补了自航估算领域中常被忽略的关键空白。本研究为船舶流体力学领域的发展作出了贡献,因其可为船舶设计师、运营方及研究人员提供实用可靠的工具,以精准评估恶劣海洋环境下的主机功率需求与航速损失。
创建时间:
2024-10-21
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作