基于交通冲突理论的道路安全评价技术研究综述

基于交通冲突理论的道路安全评价技术, 是以交通冲突因素为指标的道路交通安全状态评价技术。在梳理交通冲突影响因素与安全评价基本概念的基础上, 列举了常见的道路安全评价技术应用场景; 从交叉口、高速公路、特定场景3个方面分析了交通冲突的影响因素; 从指标选取、方法选择、模型构建3个方面对道路安全评价技术进行了归纳总结。通过对现有文献的分析可以发现: 在应用场景构建时, 相比于考虑单一冲突因素, 综合考虑交通冲突影响因素, 将使得构建的交通冲突场景更接近实际情况; 在交通安全评价时, 科学选择复合指标、合理使用模糊综合评价和层次分析法构建安全评价方法, 将使构建的安全评价方法更加科学严谨。基于现有研究中存在的问题, 指出了道路安全评价技术未来的研究方向, 主要包括充分利用视频技术和互联网技术, 搭建实时、高效的安全评价模型; 验证现有道路安全评价方法在混合交通流下是否适用; 建立健全混合交通流环境下的道路交通安全评价技术标准和评价体系。     

稳健设计方法用于车门系统设计

将Taguch i稳健设计方法应用于车门系统设计。通过将试验设计与计算分析结合获取产品设计质量特性信息;通过实例说明将结构参数优化组合,提高车门铰接系统稳健性的方法。此方法的优点是可以从许多试验条件中选择出最有代表性的少数几项试验,获得可靠的试验结果,且分析计算简单,适用于多参数的产品优化设计。     

慢性乙型病毒性肝炎血清铁及铁蛋白检测

目的探讨血清铁(SI)及铁蛋白(SF)在慢性乙型病毒性肝炎中的临床意义。方法用放射免疫测定法测定SF、原子吸收光谱法测定SI。结果慢性HBV感染者多出现SI和SF升高,而且随着病情的加重而升高,在重型肝炎组最为明显。SF、SI水平与HBV复制之间有一定的相关性,随病毒复制增高而增高,但无统计学意义。肝炎肝纤维化患者中,SF、SI随着Child-Pugh分级(A、B、C级)依次增高,SF与肝纤维化指标LN有相关性。SF升高的肝炎肝硬化患者并发症的发生率及复发率较高,临床预后较差。结论SF、SI在一定程度上反映了病毒性肝炎的病变严重程度及其预后,可以作为预测肝炎预后的一项参考指标。     

《重庆交通学院学报》2003年六项文献计量指标及其排序

介绍了《中国学术期刊综合引证报告》(CAJ-CCR)的概况.按照载文量、总被引频次、影响因子、即年指标、被引半衰期和他引总引比等六项文献计量值的大小,列出了(CAJ-CCR 2004)中《重庆交通学院学报》(JCJU)和其它28种“交通航运”类高校学报的排序.不难看出,JCJU主要指标值的排序并不亚于某些同类学科中的重点大学的学报.     

短期老化对沥青性能参数的影响

为确定沥青路面在施工过程中受热产生短期老化对沥青性能参数的影响,采用薄膜烘箱对原样沥青加热5h、10b、15h、20h。评价沥青三大指标及135℃度随老化时间的变化情况,以便指导沥青路面施工。同时通过灰色关联理论分析老化后沥青三大指标对135℃粘度的影响,结果表明：沥青老化后针入度、延度大幅减少,软化点、粘度大致呈线性变化趋势,且老化后三大指标与135℃粘度的相关关系为软化点〉针入度〉延度。     

舰船装备远海使用技术保障能力评估指标体系

以我海军亚丁湾护航任务为背景,文章具体分析了远海使用条件下舰船装备技术保障的要素和影响因素,基于一定的指标选取原则确定了舰船装备技术保障评估指标,建立了相应的评估指标体系层次结构,并对底层指标进行了简要的定量、定性分析,提出了指标分析方法,为舰船装备保障能力评估工作打下基础。     

沥青混合料马歇尔试验的变异分析与控制

运用数理统计法对马歇尔试验的变异性进行分析,并根据实践经验提出若干控制方法,具有一定的实际和理论意义.     

汽车废机油预处理前后理化指标变化规律研究

本文选取了某汽车4S店和某长途客车运输公司两种类型的废机油。针对废机油预处理前后的粘度、机械杂质、密度、开口闪点、抗磨性等理化指标进行了研究。结果表明本文所用的预处理方法明显有效,经过预处理废机油的各项指标得到明显改善。     

Design of a forced control system for a dynamic road simulator using QFT

This paper presents the road simulator control technology for reproducing a road input signal to implement real road data. The simulator consists of a hydraulic pump, a servo valve, a hydraulic actuator and its control equipment. QFT (Quantitative Control Theory) is utilized to control the simulator effectively. The control system illustrates a tracking performance of the closed-loop controller with a low order transfer function G(s) and a pre-filter F(s) for a parametric uncertainty model. A force controller is designed to communicate the control signal between the simulator and digital controller. Tracking specification is satisfied with upper and lower bound tolerances on the steep response of the system to the reference signal. The efficacy of the QFT force controller is verified through the numerical simulation in which combined dynamics and actuation of the hydraulic servo system are tested. The simulation results show that the proposed control technique works well under an uncertain hydraulic plant system. The conventional software (Labview) is used to make up for the real controller on a real-time basis, and the experimental works show that the proposed algorithm works well for a single road simulator.     

Multi-period planning of closed-loop supply chain with carbon policies under uncertainty

Climate change and greenhouse gases emissions have caused countries to implement various carbon regulatory mechanisms in some industrial sectors around the globe to curb carbon emissions. One effective method to reduce industry environmental footprint is the use of a closed-loop supply chain (CLSC). The decision concerning the design and planning of an optimal network of the CLSC plays a vital role in determining the total carbon footprint across the supply chain and also the total cost. In this context, this research proposes an optimization model for design and planning a multi-period, multi-product CLSC with carbon footprint consideration under two different uncertainties. The demand and returns uncertainties are considered by means of multiple scenarios and uncertainty of carbon emissions due to supply chain related activities are considered by means of bounded box set and solve using robust optimization approach. The model extends further to investigate the impact of different carbon policies such as including strict carbon cap, carbon tax, carbon cap-and-trade, and carbon offset on the supply chain strategic and operational decisions. The model captures trade-offs that exist among supply chain total cost and carbon emissions. Also, the proposed model optimizes both supply chain total cost and carbon emissions across the supply chain activities. The numerical results reveal some insightful observations with respect to CLSC strategic design decisions and carbon emissions under various carbon policies and at the end we highlighted some managerial insights.