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Development of a Fatigue Model Useful in Ship Routing Design

机译:疲劳模型在船舶航路设计中的应用

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摘要

In this paper, a simple fatigue estimation model, using only the encountered significant wave height, is used for predicting fatigue accumulation of a vessel during a voyage. The formulation of the model is developed based on the narrow-band approximation. It is assumed that the significant response range, h_s, has a linear relationship with encountered significant wave height, H_s. The mean stress upcrossing frequency, f_z, is represented by the corresponding encountered wave frequency, and it is expressed as a function of H_s. The capacity and accuracy of the model are illustrated by application on one container vessel's fatigue damage accumulation in an amidships detail, operating in the North Atlantic during 2008. For this vessel, all the necessary data needed in the fatigue model, and verification of it, was obtained by measurements. The results from the proposed fatigue model are compared with the well-known and accurate rainflow analysis. Influence of nonlinearities, for example, whipping, on fatigue damage predictions is also discussed.
机译:在本文中,仅使用遇到的显着波高的简单疲劳估计模型用于预测航行期间船舶的疲劳累积。基于窄带近似来开发模型的公式。假设有效响应范围h_s与遇到的有效波高H_s具有线性关系。平均应力上交频率f_z由相应的遇到的波频率表示,并表示为H_s的函数。该模型的能力和准确性通过应用在一艘集装箱船的中部细节中的疲劳损伤累积中进行了说明,该船在2008年在北大西洋运行。对于该船,疲劳模型中需要的所有必要数据,并进行验证,通过测量获得。所提出的疲劳模型的结果与众所周知的精确雨流分析进行了比较。还讨论了非线性(例如搅动)对疲劳损伤预测的影响。

著录项

  • 来源
    《Journal of Ship Research》 |2010年第4期|p.281-293|共13页
  • 作者单位

    Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden;

    rnDepartment of Shipping and Marine Technology, Chalmers University of Technology, Gothenburg, Sweden;

    rnDepartment of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden;

    rnDet Norske Veritas, Maritime Technical Consultancy ,H0vik, Norway;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    fatigue; model testing; design (general);

    机译:疲劳;模型测试;设计(一般);
  • 入库时间 2022-08-18 01:37:11

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