浅析结合用户调研管理汽车感知质量

文章首先综合分析的当前国内乘用车市场形势,提出汽车感知质量提升势在必行,接下来分析了行业内主流的用户调研手段,研究了用户调研与感知质量两者之间的关系,总结了用户调研信息对感知质量管理的作用。     

不同RAP掺量下就地热再生沥青混合料空隙率优选分析

依托福建省某高速路面预防性养护工程,采用最大理论密度线理论设计了再生沥青混合料级配,通过马歇尔试验研究了RAP料在86%、90%、94%掺量下再生沥青混合料空隙率的变化,并基于二次回归方程建立了不同RAP掺量与再生沥青混合料空隙率之间的回归方程,说明了不同RAP掺量与空隙率之间的变化趋势。研究结果表明:随着RAP料掺量增加,再生沥青混合料空隙率在逐渐降低;当再生沥青混合料空隙率控制在4%时,RAP料掺量约为89%。     

Failure mode and effects analysis of dual levelling valve airspring suspensions on truck dynamics

Failure mode and effects analysis are performed for a dual levelling valve pneumatic suspension to determine the effect of suspension failure on tractor–semi-trailer dynamics, using a detailed model of suspension pneumatics coupled with a truck dynamic model. A key element of failure analysis in suspensions with one or two levelling valves is determining the effect on the vehicle body roll when one or more failures occur. The failure modes considered are mainly the suspension pneumatic components, including clogged levelling valve, bent control rod, disabled lever arm, and punctured or leaking connectors and pipes. The pneumatic suspension is modelled in AMESim, with critical parameters established through component testing. Upon validating the AMESim component model experimentally, the pneumatic suspension model is integrated into TruckSim for studying the consequences of suspension failure on truck dynamics. The simulation results indicate that the second levelling valve in a dual-valve arrangement brings a certain amount of failure redundancy to the system, in the sense that when one side fails, the other side can compensate for the failure. Equipping the trailer with dual levelling valves brings an additional stabilising effect to the vehicle in the event of tractor suspension failure.     

SBS/橡胶粉复合改性SH型混合生物沥青工艺及机理

为探究复合改性技术提升混合生物沥青路用性能的工艺及机理,针对特定来源的SH型生物沥青,将其与石油沥青共混制备混合生物沥青后进行SBS/橡胶粉复合改性,研究改性顺序及改性剂掺量对复合改性沥青常规路用性能的影响、生物沥青掺量对改性剂溶胀特性与复合改性沥青高温及低温性能的影响,由此确定混合生物沥青复合改性工艺;利用多应力重复蠕变恢复（MSCR）、弯曲梁流变（BBR）和频率扫描（FS）试验评价复合改性沥青的流变特性;借助红外光谱（IR）化学官能团分析以及荧光显微镜（FM）和原子力显微镜（AFM）微观形貌观测分析揭示混合生物沥青复合改性机理。研究结果表明：SBS掺量为2.5%,橡胶粉掺量为18%（内掺）时,按照先SBS改性后橡胶粉改性的顺序制备的复合改性沥青的常规路用性能均较优;生物沥青掺量为15%时改性剂溶胀特性与复合改性沥青的高温及低温性能均较佳;SBS/橡胶粉复合改性在显著提升混合生物沥青弹性恢复率与m值的同时还降低了其不可恢复柔量与劲度模量,即改善了混合生物沥青的高温稳定性与低温抗裂性,且此结果与FS复数模量主曲线结果相一致;生物沥青可有效增溶聚合物改性剂并增强聚合物相网络结构,从而显著提升沥青复合改性效果;对混合生物沥青进行SBS/橡胶粉复合改性后未出现新的特征吸收峰,此复合改性过程属于物理变化;沥青厂生产的复合改性沥青性能优于实验室水平制备的复合改性沥青。     

BRT专用车道站台段钢桥面铺装的一种解决方案

BRT专用车道的定点停车位作为铺装的薄弱点,若铺装层的高温动稳定性不足将造成该处形成剪切推移、车辙等病害。以贵阳市中环路为背景,对BRT专用车道站台段钢桥面铺装的四个方案进行比选,并选取热拌式沥青混凝土作为实施方案,经验证效果良好,可为国内外的类似工程提供参考。     

Bayesian network for red-light-running prediction at signalized intersections

Abstract

Red-light-running (RLR) is an important reason for the large number of intersection-related fatalities, injuries, and other losses. The accurate RLR prediction can effectively reduce crashes caused by RLR behavior. The RLR prediction is usually composed of two parts: the vehicle’s stop-or-go behavior and the arrival time when the vehicle reaches the stop line. Previous stop-or-go prediction models are usually based on embedded traffic sensors using machine learning algorithms. While based on the continuous trajectories collected by radar sensors, RLR prediction can be conducted more effectively. In this paper, a probabilistic stop-or-go prediction model based on the Bayesian network (BN) is proposed for RLR prediction. We extend the deterministic output into the probabilistic output, which provides decision-makers with greater autonomy. The causality of BN improves the interpretability of the prediction model. The BN model is calibrated and tested by the continuous trajectories data measured by radar sensors installed at a signalized intersection. We not only consider the movement measurements of individual vehicles (e.g., speed and acceleration), but also take into account the car-following behavior. As a comparison, different machine learning models and the model based on the inductive loop detection (ILD) are adopted. The results show that the proposed BN model has a high prediction accuracy and performs better in the feature interpretation. This paper provides a new way for probabilistic RLR prediction based on continuous trajectories, which will significantly improve traffic safety of signalized intersections.     

BIM技术在某大型码头设计中的应用研究

以某大型码头项目设计为案例,搭建云端协同平台开展各专业的BIM协同设计,基于三维可视化的场景,对项目方案进行了设计优化。各专业模型通过云端协同方式实时链接进行总装,项目协调员根据设计成果进行碰撞检测,及时发现设计问题。同时,针对BIM在设计阶段及施工阶段的需求,对BIM设计软件中的部分功能进行了二次开发,拓展BIM应用价值,更好地推动BIM技术在项目全生命周期中的落地和工程信息的流转。结合BIM技术在本项目的研究与应用,本文总结出了一套行之有效的BIM设计应用技术路线和解决方案,为BIM技术在码头设计中的应用与推广提供实际借鉴意义。     

乘用车车身水管理设计综述

为提升乘用车车身的防水能力,探讨了车身湿区的水管理方法和阻止车外的水进入车身干区的水管理方法.首先明确了车身湿区、干区的定义和车身湿区、干区的分界面,然后阐述了车身外部的导水、排水设计,后续章节重点分析了外界的水进入车身内部的各类途径,和各类进水途径的封堵方法,最后总结出与防水相关的试验是判定车身密封性能高低的依据.综...     

下承式简支钢桁梁公路桥关键技术分析

下承式简支钢桁梁桥具有主梁建筑高度低、 施工速度快、 结构自重轻等优点, 随着钢结构防腐蚀技术的提高、 焊接栓接工艺的改进, 下承式简支钢桁梁越来越多地在公路领域得到应用。 为大力推广该桥型, 文章从材料、 构造、 防撞及防火和施工工艺等方面重点介绍下承式简支钢桁梁桥的设计与施工要点, 总结得出在主跨 70 ~ 120m 的桥梁结构形式, 下承式简支钢桁梁为一种合理选择。     

钢桥面环氧沥青铺装树脂灌浆材料研究与应用

文章基于舟山连岛跨海大桥环氧沥青钢桥面铺装裂缝、 鼓包等典型病害, 从养护材料性能提升角度出发, 开发了高渗透树脂灌缝材料和高强耐水型树脂注浆材料, 并通过系列试验, 分别对树脂灌缝材料的施工和易性、 力学性能、 抗冻耐久性, 注浆材料的排水置换性能、 与钢板和铺装的粘结性能等各项指标进行了评估, 同时重点对西堠门大桥裂缝、 鼓包等病害进行了集中处治, 经过一个寒暑交替运营的跟踪观测, 结果表明所研发的灌缝和注浆材料可满足钢桥面小修保养修复性能要求。