平原区双车道公路交通条件与交通安全的关系研究

以平原区双车道公路交通事故资料为基础,分析了道路平曲线和纵断面线形及交叉口等因素与交通事故的关系,将分析结论和国外研究结果相对比,得出我国平原区双车道公路交通条件与交通安全的关系,并建立交通安全性预测模型,对提升我国双车道公路安全性具有重要的意义。     

推土机六向铲刀头的动力应力分析

应用专用运动动力学分析方法对4种典型计算工况下的推土机六向铲刀头进行了运动动力研究,得到了刀头各计算点处的约束反力;并研究了4种工况下六向铲刀头的应力,进行了详细的强度分析.结果表明,各工况下刀头均有3处应力超过了材料的强度极限,会造成相应位置的开裂现象.     

湘江近尾洲二线船闸下游引航道口门区通航水流条件改善措施

湘江近尾洲枢纽二线船闸为升级改造工程,位置和轴线没有选择余地,下游引航道口门区的通航水流条件只能依靠优化开闸方式或修建导流墩来改善。采用1∶100定床正态河工物理模型试验,在充分认识常规开闸泄流方式下游引航道口门区水流条件的基础上,通过多种开闸泄流方式的组合试验以及导流墩布置数量、间距、角度等优化试验,提出常规开闸+边孔补流的泄流方式,或布设单墩长度20 m、走向与航线平行、间距20 m的3个导流墩,均可将通航流量提高到2 a一遇洪水标准。     

不良天气和路面环境对交通信号配时方案的影响

针对不良天气和路面环境下沿用正常天气交通信号配时方案时信号控制效益下降的问题,从不良天气和路面环境下交通流运行特征入手,分析了因天气和路面环境改变导致的以经典信号控制理论为优化基础的信号配时方案演变情况,采用Vissim软件建立了哈尔滨市嵩山路与淮河路交叉口良好天气与雪天的交通信号控制仿真模型,并进行了案例分析.分析表明:雪天及时调整信号配时方案,与仍采用良好天气情况下的信号配时方案相比,能有效降低车辆在信号交叉口的停车次数和延误,提高交叉口的通行效率.这一分析结果适用于所有不良天气和路面环境下的交通信号优化控制.     

大数据背景下的桥梁结构健康监测研究现状与展望

结构健康监测（SHM）技术在许多大型桥梁的运营养护管理中均有应用，但已有监测系统积累的海量数据并未被充分解读。为将大数据技术引入到桥梁SHM数据的处理分析中，首先总结大数据的概念和构成要素；然后分析SHM数据的工业大数据属性，梳理桥梁SHM大数据的研究方向；随后综述包括处理技术和分析方法在内的大数据技术在桥梁SHM中的应用现状，在由数据预处理、数据融合、特征工程、模式识别、可视化构成的大数据分析流程中提出SHM大数据研究的需求和应用场景；最后对大数据技术在桥梁SHM中的前景与驱动力进行展望和讨论。结果表明：SHM大数据研究应以结构状态评估为落脚点；大数据处理技术在SHM的系统框架搭建及数据分析能力扩展方面虽已得到较多应用，但其并非SHM大数据研究的重点；SHM数据融合对大数据分析方法有迫切需求，以实现桥梁SHM数据与外观检测等多源异构数据的多层面融合；深度学习、集成学习为结构状态敏感特征的提取提供了新的算法；有监督、无监督机器学习方法结合海量SHM数据将对结构状态评估下的模式识别问题形成更全面的认知；异常识别、相关分析、迁移学习等方法可为实桥SHM损伤识别提供支撑。研究结果可为SHM领域的大数据研究提供参考。     

利用道岔条件实现可动渡线的轨道区段检测方案

以计轴在跨坐式轻轨中的运用,提出利用道岔条件实现可动渡线的轨道区段检测方法及思路.     

预应力高强混凝土管桩(PHC桩)在衡阳地区的应用

该文分析了衡阳地区桩基础施工工艺现状,介绍了预应力高强混凝土管桩应用条件。结合工程实例,分析了预应力高强混凝土管桩在衡阳地区应用效果,并对施工中存在的问题提出了相应对策。     

Automated driving recognition technologies for adverse weather conditions

During automated driving in urban areas, decisions must be made while recognizing the surrounding environment using sensors such as camera, Light Detection and Ranging (LiDAR), millimeter-wave radar (MWR), and the global navigation satellite system (GNSS). The ability to drive under various environmental conditions is an important issue for automated driving on any road. In order to introduce the automated vehicles into the markets, the ability to evaluate various traffic conditions and navigate safely presents serious challenges. Another important challenge is the development of a robust recognition system can account for adverse weather conditions. Sun glare, rain, fog, and snow are adverse weather conditions that can occur in the driving environment. This paper summarizes research focused on automated driving technologies and discuss challenges to identifying adverse weather and other situations that make driving difficult, thus complicating the introduction of automated vehicles to the market.     

Mesozooplankton species distribution in the NW and N Iberian shelf during spring 2004: Relationship with frontal structures

We have analysed the mesozooplankton community structure in the southern Bay of Biscay shelf and its relationship with the hydrographic conditions during spring 2004. According to thermohaline characteristics, we observed two frontal zones of distinct origin along the shelf (around 7° and 3°W), that allowed us to differentiate three different hydrographic domains. The westernmost part of the shelf (WC), defined by the presence of relatively warm and salty water related to the presence of the Iberian Poleward Current (IPC), the easternmost region (EC), characterized by colder and fresher water and subject to the influence of freshwater inputs from the Adour river in the French coast, and a region in the Central Cantabrian Sea (CC), where thermohaline characteristics were intermediate between these two extremes. The mixing layer depth (MLD) regime in these areas was also different: the WC region was characterized by a mixed water column, whereas in the EC region the river discharges produces stratification of the upper meters of the water column (< 10 m); in the CC region, we found a distinct vertical mixing regime that separated coastal (stratification) from shelf (mixed water column) stations, giving rise to a notorious across-shelf front. We found a good match between the aforesaid hydrographic regions and the distribution of mesozooplankton species composition and community assemblages: the Mantel correlation between physical variables and mesozooplankton distribution was highly significant (n = 63, r = 0.70, α < 0.001). In the WC region, the community was dominated by Paracalanus parvus, Oithona helgolandica, Acartia clausi and Clausocalanus pergens, while in the EC region the most dominant species were Noctiluca scintillans, Oncaea media and Temora longicornis. The CC region showed similar composition of copepods than the WC region, but larvaceans (Oikopleura spp. and Fritillaria spp.) were more abundant in the CC region than in the WC region. Within each zone, the relative abundances of the dominant species differed between coastal and shelf locations.     

船舶板梁组合结构的振动分析

采用Ｍｉｎｄｌｉｎ板单元和参考轴杆单元,建立了考虑板剪切变形、骨架剪切变形和骨架偏心影响的船舶板梁组合结构振动分析模型,并研究比较了不同船舶板梁组合结构振动分析有限元模型的计算精度。最后通过对某舱室甲板固有频率计算值和实测值的比较,讨论了船舶局部结构振动分析中边界条件处理问题。