Strain prediction for critical positions of FPSO under different loading of stored oil using GAIFOA-BP neural network

FPSO (floating, production, storage and offloading) units are widely used in the offshore oil and gas industry. Generally, FPSOs have excellent oil storage capacity owing to their huge oil cargo holds. The volume and distribution of stored oil in the cargo holds influence the strain level of hull girder, especially at critical positions of FPSO. However, strain prediction using structural analysis tools is computationally expensive and time consuming. In this study, a prediction tool based on back-propagation (BP) neural network called GAIFOA-BP is proposed to predict the strain values of concerned positions of an FPSO model under different oil storage conditions. The GAIFOA-BP combines BP model and GAIFOA which is a combination of genetic algorithm (GA) and an improved fruit fly optimization algorithm (IFOA). Results from three benchmark tests show that the GAIFOA-BP model has a remarkable performance. Subsequently, a total of 81 sets of training data and 25 sets of testing data are obtained from experiment using fiber Bragg grating (FBG) sensors installed on the surface of an FPSO model. The numerical results show that the GAIFOA-BP is capable of predicting the strain values with higher accuracy as compared with other BP models. Finally, the reserved GAIFOA-BP model is utilized to predict the strain values under the inputs of a 10-day time series of volume and distribution of stored oil. The predicted strain results are further used to calculate the fatigue consumption of measurement points.     

无人船在港口水域海事监管中的应用探讨

近年来,随着与船舶自主航行相关的信息技术、人工智能技术水平的提高,无人船舶行业取得了长足的发展,其在海上安保、环境监测等领域应用也越来越成熟。为推动无人船在海事管理方面的应用研究,破解港口水域海事监管手段不足的瓶颈问题,文中在分析港口水域海事监管特点和无人船系统建设条件的基础上,定量研究了无人船在港口水域海事监管应用面临的性能指标确定、船型平台选择、载荷设备搭配、运行管理体系建设等方面的具体问题,提出了一种港口水域海事监管无人船系统的应用解决方案。     

Evaluating the knowledge of experts in the maritime regulatory field

Regulations are introduced by the International Maritime Organization (IMO) into the maritime industry as the result of safety accidents and/or pollution incidents. When there is lack of historical data, then the IMO appoints experts in order to collect information regarding the costs and benefits generated to a stakeholder of the maritime industry once implementing a maritime regulation. Therefore, the role of experts in providing qualitative and quantitative information is crucial with respect to the quality of the maritime regulatory process within the IMO or other regulatory authorities. In this article, a methodology is proposed involving common criteria in determining the expertise of an individual in the maritime regulatory field. As essential part of the research methodology, analytic hierarchy process (AHP) is utilized to determine the expertise of an individual based on his/her own judgements. The regulatory authorities and other stakeholders of the maritime industry may use this method when selecting experts for decision-making. In this article, a simulation is carried showing the potentials of the AHP methodology in expertise evaluation followed by a case study.     

中越界河海事执法行为的风险规避

文中通过介绍中越边境河流——北仑河海事现场执法风险，分析执法风险存在的原因、表现形式，结合实际工作体会，探讨界河基层海事执法的风险防范     

关于构建海上医疗救助制度的探讨

文中通过分析海上医疗救助与海上人命救助的区别,指出建立海上医疗救助制度的意义,并对建立此制度的途径进行了有益的探讨。     

我国商业银行信息化建设研究综述

我国商业银行信息化建设已走过近20年的路程,在取得巨大业绩的同时也存在若干不足之处．文章在总结我国商业银行信息化建设经验的基础上,对其信息化建设的现状进行了深入的分析,同时指出了我国商业银行信息化建设的总体规划方向,以期大幅度提高我国商业银行的信息化建设绩效。     

新常态下工业4.0对我国汽车产业转型升级的启示

阐述了工业4.0的内涵和目的,分析了当前我国汽车产业发展面临的重大挑战,提出了新常态下借鉴工业4.0,加快我国汽车产业转型升级的几点启示。     

中国已成为具有重要影响力的航海大国

中国已经成为航运大国、港口大国、造船大国.中国目前商船拥有量居世界第5位,全球十大港口中国占据了5个,造船量居世界第3位.中国正以前所未有的胸怀和气概向航海强国迈进.     

海上桥梁移动模架施工

主要介绍下行式移动模架的构造、施工特点、工作原理,以及在海上从拼装到拆除整个施工过程中应注意的一些问题。     

基于综合交通枢纽的现代服务业集聚区建设的系统分析

现代服务业集聚区与综合交通枢纽共生共荣.介绍了综合交通枢纽对现代服务业集聚区发展的影响的相关理论,总结国内外依托综合交通枢纽合理规划现代服务业集聚区的一些成功经验,分析了综合枢纽的客流特点.从客流总量预测及客流组成特点,分析了基于上海虹桥综合交通枢纽的现代服务业集聚区建设.