减振降噪技术的应用设计

本文针对某型号测量船主要噪声振动源采取相应技术措施进行减振降噪综合治理研究，其中主机采用低频大载荷隔振器的单层隔振、辅机采用浮筏隔振装置、机座采用局部阻尼处理等措施。由于该船采用了先进的浮筏技术及其他隔振措施，在提高船上测量系统读取数值精度的同时，大大改善了船上水声设备测绘工作环境和船员的生活环境，提高了该船的设备使用寿命和船员体力极限。本船自噪声在低航速时已淹没在海洋背景噪声之中。特别是该船减振降噪装置在系统的声学匹配设计方面取得了进展，经实船验证，效果良好，证明该设计方法可行，对减振降噪技术在各型舰船上的工程应用开发研究有一定借鉴作用。     

带空间管系的船舶水泵机组隔振浮筏性能研究

基于船舶水泵机组隔振浮筏这种多挠动源的系统,探讨了浮筏装置所具有的特性以及隔振设计技术.利用有限元法数值模拟了隔振系统忽略和计及管系下的两种模型,综合分析了空间管系对浮筏隔振系统隔振性能的影响,并就管路和机组间刚性连接和多种弹性连接下系统隔振性能作了对比分析.分析结果表明,空间管系减弱了系统的隔振性能,在动力设备和管路间使用挠性接管等弹性连接可大大减小管系的影响.文中探讨了水泵机组的隔振设计技术以及为了提高隔振性能而应注意的若干方面.     

通信设备用阀控式密封铅酸蓄电池的维护和管理

从维护和管理的角度出发,对影响蓄电池寿命的因素进行了分析,对如何提高电池的使用寿命进行了探讨,并根据日常的一些维护经验,对蓄电池的维护提出了建议。     

多模块连接半潜式平台稳性对比分析

为开发我国海洋丰富的渔业、油气和旅游资源,可以在指定海域布设超大型浮式结构物,作为综合保障基地,提供船舶停靠、人员居住、渔业加工、油气开发、环境监测、飞机起降等多种功能.考虑到建造、运输等因素,超大型浮式结构物一般由多个相同或相似模块连接组成.本文基于一型半潜式平台模块,分别开展单、双、三模块的稳性分析,并对其稳性分析结果进行对比分析,探讨模块数量对平台稳性的影响,为超大型浮式结构物的后续设计与运营提供参考.     

Travel time estimation from sparse floating car data with consistent path inference: A fixed point approach

Estimation of urban network link travel times from sparse floating car data (FCD) usually needs pre-processing, mainly map-matching and path inference for finding the most likely vehicle paths that are consistent with reported locations. Path inference requires a priori assumptions about link travel times; using unrealistic initial link travel times can bias the travel time estimation and subsequent identification of shortest paths. Thus, the combination of path inference and travel time estimation is a joint problem. This paper investigates the sensitivity of estimated travel times, and proposes a fixed point formulation of the simultaneous path inference and travel time estimation problem. The methodology is applied in a case study to estimate travel times from taxi FCD in Stockholm, Sweden. The results show that standard fixed point iterations converge quickly to a solution where input and output travel times are consistent. The solution is robust under different initial travel times assumptions and data sizes. Validation against actual path travel time measurements from the Google API and an instrumented vehicle deployed for this purpose shows that the fixed point algorithm improves shortest path finding. The results highlight the importance of the joint solution of the path inference and travel time estimation problem, in particular for accurate path finding and route optimization.     

Extreme hawser tension assessment for FPSO vessel during offloading operation in Bohai bay

The Floating Production Storage and Offloading Unit (FPSO) is an offshore vessel that produces and stores crude oil prior to tanker transport.Robust prediction of extreme hawser tensions during Floating Production Storage and Offloading (FPSO) operation is an important safety concern. Excessive hawser tension may occur during offloading operations, posing an operational risk. In this paper, AQWA has been used to analyze vessel response due to hydrodynamic wave loads, acting on a specific FPSO vessel under actual sea conditions. Experimental validation of numerical results has been discussed as well.This paper advocates methodology for estimating extreme response statistics, based on simulations (or measurements). The modified ACER (averaged conditional exceedance rate) method is presented in brief detail. Proposed methodology provides an accurate extreme value prediction, utilizing all available data efficiently. In this study the estimated return level values, obtained by ACER method, are compared to the corresponding return level values obtained by Gumbel method. Based on the overall performance of the proposed method, it is concluded that the improved ACER method can provide more robust and accurate prediction of the extreme hawser tension.Data declustering issue has been addressed. Paper highlights ability of ACER method to account for a set of varying sea state probabilities, as required in engineering long term statistical analysis.Described approach may be well used at the vessel design stage, while defining optimal vessel parameters that would minimize potential FPSO hawser tension.     

Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data

Accurately modeling traffic speeds is a fundamental part of efficient intelligent transportation systems. Nowadays, with the widespread deployment of GPS-enabled devices, it has become possible to crowdsource the collection of speed information to road users (e.g. through mobile applications or dedicated in-vehicle devices). Despite its rather wide spatial coverage, crowdsourced speed data also brings very important challenges, such as the highly variable measurement noise in the data due to a variety of driving behaviors and sample sizes. When not properly accounted for, this noise can severely compromise any application that relies on accurate traffic data. In this article, we propose the use of heteroscedastic Gaussian processes (HGP) to model the time-varying uncertainty in large-scale crowdsourced traffic data. Furthermore, we develop a HGP conditioned on sample size and traffic regime (SSRC-HGP), which makes use of sample size information (probe vehicles per minute) as well as previous observed speeds, in order to more accurately model the uncertainty in observed speeds. Using 6 months of crowdsourced traffic data from Copenhagen, we empirically show that the proposed heteroscedastic models produce significantly better predictive distributions when compared to current state-of-the-art methods for both speed imputation and short-term forecasting tasks.     

基于弧形踏面车轮的浮式装船机运行机构改造

针对浮式装船机的运行机构实际使用的问题,文章在分析运行机理的基础上,提出了弧形运行机构实现的难点所在,并结合弧形踏面车轮的使用经验提出了具体的改造措施,对浮式装机船运行机构的研究与使用具有一定的借鉴意义     

Dynamic demand estimation and prediction for traffic urban networks adopting new data sources

Nowadays, new mobility information can be derived from advanced traffic surveillance systems that collect updated traffic measurements, both in fixed locations and over specific corridors or paths. Such recent technological developments point to challenging and promising opportunities that academics and practitioners have only partially explored so far.The paper looks at some of these opportunities within the Dynamic Demand Estimation problem (DDEP). At first, data heterogeneity, accounting for different sets of data providing a wide spatial coverage, has been investigated for the benefit of off-line demand estimation. In an attempt to mimic the current urban networks monitoring, examples of complex real case applications are being reported where route travel times and route choice probabilities from probe vehicles are exploited together with common link traffic measurements.Subsequently, on-line detection of non-recurrent conditions is being recorded, adopting a sequential approach based on an extension of the Kalman Filter theory called Local Ensemble Transformed Kalman Filter (LETKF).Both the off-line and the on-line investigations adopt a simulation approach capable of capturing the highly nonlinear dependence between the travel demand and the traffic measurements through the use of dynamic traffic assignment models. Consequently, the possibility of using collected traffic information is enhanced, thus overcoming most of the limitations of current DDEP approaches found in the literature.     

浮冰冲击作用下的乙烯运输船体 舷侧结构强度分析

对无限航区的21000m3乙烯运输船舷侧结构,分别采用纵骨架式和横骨架式冰区加强设计。根据FSICR规范要求,更新舷侧冰带区域内构件尺寸,并针对艏部冰带区域内船体结构,分别建立了原始的、纵骨架式的和横骨架式的冰带结构设计有限元模型。通过强度计算,认为艏部冰带区新结构满足规范设计载荷要求。在此基础上,单独建立艏货舱冰区舷侧外板板架有限元模型,研究两种新设计形式适用的外板在更大浮冰冲击载荷作用下塑性变形。计算结果表明:纵骨架式结构外板塑性变形明显低于横骨架式。