18000DWT散货船试航中轮机的若干思考

长江中下游两岸有很多家大小不一的造船厂,造船规模从几百吨到几十万吨.船舶建造完毕在交付船东投入运营前需要通过试航得到船检部门的认可,办理相应的船舶证书[1-2].因此船舶试航在长江中下游一带便形成为一个新兴行业.作者通过一次18000DWT散货船试航经历,将碰到的问题进行总结和思考以供造船厂家、船东以及参加试航的相关人员作为参考.     

船舶数据记录仪的主程序设计

基于现代航行管理要求,介绍一种船舶航行数据记录仪的主程序开发设计过程,详细论述各分步程序结构设计,并设计船舶主电源断电自动切换及记录报警程序,最后基于软硬件平台提出实现方案。     

潜艇加装航行数据记录系统应用研究

航行数据记录系统（VDR）是实时记录并保存舰船在事故发生前后一段时间内的运动状态、指挥命令、操纵和物理状况等信息的完整系统，潜艇装备航行数据记录仪有其特殊意义。针对潜艇的特殊应用环境，提出了潜艇加装航行数据记录系统的设计方法及潜艇VDR信息采集方案的确定，并对其设备组成和功能进行了阐述。     

����ȼ�ͼ۸�Ԥ��ĺ����⴬ȼ�Ͳ��������Ż��о�

燃油成本是船东在经营航次租船业务中控制运营成本的关键要素,由于燃油价格随时间频繁波动,而海上运输周期长,因此船舶在挂靠港的燃油补给计划成为船东面对的重要决策问题.本文以不定期航次租船为背景,从船东的视角,研究船舶在连续航次租船运营中的燃油补给问题.首先,基于ARMA模型建立燃油价格预测模型;其次,以连续多航次收益最大为目标,以补给地点和补给量为决策变量,基于燃油价格预测建立优化燃油补给方案的非线性规划模型.最后,针对一个干散货船舶的环太平洋的连续租船航次实例进行计算.结果表明,求解模型获取的最优燃油补给方案比传统的加油方式能够节省成本26.34万USD,占营运总收益的14.3%.     

谈内河船舶生活污水防治

内河船舶生活污水防治是船舶污染防治中的重点和难点.文中通过梳理国内外公约、法规有关要求,结合国外内河流域船舶生活污水防治经验,以长江张家港段内河船舶生活污水防治现状为例,为内河船舶污染防治提供借鉴和参考.     

Cargo ship aft panel stresses prediction by deconvolution

This article introduces novel extreme value prediction method that can be used for a variety of offshore engineering applications. First, to demonstrate the novel method, fictitious data from a non-linear Duffing oscillator and measured wave heights were used as examples. The second incident included a container ship that experienced significant deck panel strains while traveling across the Atlantic Ocean in bad weather. The main concern for cargo ship transportation is potential loss of container owing to violent movements. It is challenging to model such a situation because waves and ship motions are both non-stationary and complicatedly nonlinear. Extreme motions greatly increase the role of nonlinearities, activating effects of second and higher order.Furthermore, due to the scaling and the choice of sea state, laboratory testing may also be called into doubt. Therefore, data collected from actual ships during difficult weather voyages offers a special perspective on the statistics of ship motions.This paper aims to highlight an alternative method of extrapolation that is based on intrinsic properties of the data set itself and does not assume any extrapolation functional class. Extreme value predictions typically originate from certain statistical distribution functional classes to fit the data and then extrapolate. Engineering design can make use of the unique extrapolation method that has been proposed. The proposed method's forecast accuracy has been verified in comparison to the Averaged Conditional Exceedance Rate (ACER) extrapolation method.