针对儿童座椅拉拽失效的车身结构改进

在乘用车前期设计阶段,为让儿童保护的安全性能得到控制和优化,以某乘用车根据国家安全法规要求进行儿童座椅拉拽台架试验时,ISOFIX固定装置出现焊点从车身上拉脱失效为例,基于焊点热影响区损伤的焊点失效准则和钣金断裂失效准则,运用有限元分析对其进行虚拟评估和结构改进,有限元分析与试验结果吻合良好.改进结构通过了儿童座椅拉拽...     

焊装车间机器人的节拍分析及优化设计

为了实现焊装车间降本增效的目标,对焊装车间自动生产线上机器人的生产节拍进行优化.通过分析机器人的工作时序逻辑,查找机器人不合理的工作时序,进而分析机器人的底层程序,修改程序上的问题,优化工作时序,消除机器人工作时序逻辑不合理产生的等待浪费,提升生产线的生产节拍,从而提高车间的生产效率,最终实现降本增效的目标.     

基于机器视觉的车辆检测与参数识别研究进展

近年来公路交通运输快速增长,交通车辆的快速准确检测与识别对智能交通系统和交通基础设施运维具有重要意义.随着机器视觉和深度学习技术的迅速发展及其在目标检测领域的广泛应用,车辆目标检测和参数识别也取得新的突破.该文从车辆参数的识别方法和应用研究两方面梳理了机器视觉和深度学习在车辆检测与参数识别领域的研究现状、最新研究成果和...     

基于数据驱动的电动汽车动力电池SOC预测

为准确预测电动汽车动力电池的能耗,缓解驾驶者的里程焦虑,本文中提出一种基于数据驱动的电动汽车动力电池SOC预测模型.首先分析电动汽车能耗构成并提取能耗影响因素,接着基于某款电动出租车CAN总线采集的汽车运行数据,采用机器学习算法,提出基于温度分层的能耗模型,通过宏观数据与微观数据的融合减小误差,最后使用该模型对车载BM...     

基于改进LSTM-NN的安全性自动驾驶换道轨迹规划模型

为改善现有的自动驾驶换道轨迹规划模型产生的换道轨迹与真实的换道轨迹存在较大偏差的问题,提出了一种改进LSTM-NN的安全敏感性深度学习模型,该模型可以缓解当前自动驾驶轨迹规划存在的不足,输出轨迹既保证了较高的精度又提高了安全性。CarSim仿真软件模拟了本模型产生轨迹的可跟踪性,结果显示轨迹非常平滑,并且自动驾驶车辆可以高效、安全地完成换道。     

人工冻结对南京砂液化特性的影响

针对长江中下游地区广泛分布的南京砂,使用GDS动三轴系统分别在地震荷载和地铁列车振动荷载作用下进行动三轴试验,研究人工冻结对南京砂液化特性的影响及其机理,并判别2种荷载对南京砂冻结施工的潜在危险.结果 表明:在地震荷载和地铁列车振动荷载作用下,冻融循环均会明显降低南京砂的刚度和抗液化能力,首次冻融最为明显;冻融次数越多...     

扶壁码头船撞损坏鉴定与修复方案

某扶壁码头被船碰撞后损坏严重。在对码头水下部位进行探摸以及对水上部位调查与检测的基础上,分类评价码头各受损部位的损坏程度,提出码头主体结构修复方案,结果可作为码头修复和事故赔偿的依据。     

水泥混凝土路面填缝材料的抗疲劳老化性能研究

采用热压冷拉循环试验模拟填缝材料在水泥混凝土路面上的应用状况,以测试填缝材料的抗疲劳老化性能。通过对比试验研究,得出以硅氧键为主链的有机硅填缝材料的抗疲劳老化性能优异,经热压冷拉后,粘结强度保持在95%以上,远高于国内目前普遍使用的聚氨酯、焦油型和芳油型填缝胶。此外还得到了一个最佳填缝工艺条件:深-宽比为2∶1。     

Fault diagnosis for singular stochastic systems

This paper studies the fault diagnosis of singular stochastic systems. The probability distribution of output is measured by probability density functions (PDFs), which are modeled by a square root B-spline expansion. An adaptive nonlinear observer is proposed to estimate the size of the fault occurring in systems. Furthermore, the linear matrix inequality (LMI) approach is applied to establish sufficient conditions for the existence of the observer. Finally, the simulation results are given to indicate the method for diagnosing the fault.     

Vocational and academic approaches to maritime education and training (MET): Trends,challenges and opportunities

Traditional seafarer training has always focused on the acquisition and use of practical skills. The prevailing view is that, while this approach addresses a degree of cognitive skills, it focuses on and gives much more emphasis to the acquisition of hands-on practical skills for the performance of specific tasks. On the other hand, academic education has been seen to be much more focused on the development of in-depth analytical and critical thinking skills; cognitive skills that are less reliant on hands-on task-oriented training, but stress critical reading and discussion. The global trend in maritime education and training is increasingly to link an essentially vocational education that provides specific and restricted competence outcomes with more general or deeper academic components leading to an academic qualification. This trend has led to some dilemmas for curriculum development, for training legislation in a global industry, and for achieving desired learning outcomes in a professional setting (in the shipping industry). This paper discusses some of the challenges arising from this trend and the opportunities the trend offers.