多功能海上重吊船LNG燃料应用分析

基于某多功能海上重吊船液化天然气（Liquefied Natural Gas，LNG）双燃料系统的设计，结合其典型运营工况，采用经济性（Economic Performance，EP）分析方法对LNG燃料和低硫船用轻质柴油（Low Sulfur Marine Gas Oil，LSMGO）燃料的能量消耗、额外初始投入成本、运营成本（Operating Expense，OPEX）等进行分析比较。结果表明，在满足设计要求的前提下，在中长期的船舶运维周期内，LNG燃料的EP更好。考虑未来船用清洁燃料的发展，相关研究可为海上工程作业船舶的燃料动力系统的设计和选择提供思路。     

5000t海缆施工船总体设计特点

介绍5000 t海缆施工船“启帆9号”的研发设计,包括海缆作业特点以及在大型海缆船设计中的船型优化、船体结构、海缆作业系统、定位系统等关键技术方面的设计思路,并对大流速条件下海缆敷设、维修作业提出新的解决方案。     

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.