神经网络技术在车内噪声预测上的应用

本文根据神经网络理论，建立了单一工况下由发动机悬置点振动信号预测车内特定点低频噪声的神经网络模型，并针对驾驶员耳旁噪声进行了实验研究，结果表明：基于神经网络的单一工况车内噪声观测模型，可以频域内很好地预测出特定点的车内噪声。     

预应力混凝土先简支后连续梁静、动力试验研究

简要介绍预应力混凝土先简支后连续梁1∶5模型设计、试验方法。根据弹性试验、开裂试验和破坏试验结果,研究分析该类结构的工艺特点、正常使用荷载作用下结构受力变形特征、结构特别是湿接缝截面的抗裂性、开裂区域裂缝发展分布规律以及结构极限承载力。在对模型梁体系转换前、后和先简支后连续梁破坏前、后动力测试与理论分析的基础上,校核模型梁的刚度、制作精度,最后初步探讨了先简支后连续梁的动力性能。     

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.     

时速350km中国标准动车组车载天线的隔离度及最小排布间距

基于中国标准动车组车载终端设备的部署现状和未来规划,调研其采用的通信系统类型、车载天线的工作频率和安装数量;以900 MHz频段GSM-R系统、450 MHz频段和2100 MHz频段LTE-R系统为例,对车载终端的杂散干扰进行理论分析,基于自由空间损耗理论模型计算、电磁软件仿真模拟和试验平台实测的结果,研究车载天线的隔离度,提出满足车载通信终端干扰隔离度需求的合理天线间距。结果表明:为了实现动车组车载终端的互不干扰,对于900 MHz频段GSM-R系统和2100 MHz频段LTE-R系统,车载天线间距需达到0.5 m;对于450 MHz频段LTE-R系统,车载天线间距则需大于3.0 m。未来我国动车组车载天线的发展应定位在:研发宽频段多业务组合天线、对车载天线布局进行标准化设计、支持公网运营商5G频率等方面。     

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.     

离线船舶机电设备振动采集仪系统设计

设计了离线振动采集仪的硬件系统，通过对传感器电源模块的进行了节电控制设计，优化振动信号的采集策略和采集节奏，提出了振动信号数据处理和存储方法，实现了无人关注下自主对船舶机电设备振动信号连续近百天的采集任务。应用结果显示，采集仪系统结果准确可靠，实现了全工况的实船振动数据的采集设备。     

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.