Estimation of delay variability at signalized intersections for urban arterial performance evaluation

Urban arterial performance evaluation has been broadly studied, with the major focus on average travel time estimation. However, in view of the stochastic nature of interrupted flow, the ability to capture the characteristics of travel time variability has become a critical step in determining arterial level of service (LOS). This article first presents a stochastic approach that integrates classic cumulative curves and probability theories in order to investigate delay variability at signalized intersections, as a dominant part of the link travel time variability. This serves as a basis for arterial travel time estimation, which can be obtained through a convolution of individual link travel time distributions. The proposed approach is then applied in the estimation of travel time along one arterial in Shanghai, China, with abundant automatic vehicle identification (AVI) data sources. The travel time variability is evaluated thoroughly at 30-min intervals, with promising results achieved in comparison to the field measurements. In addition, the estimated travel time distributions are utilized to illustrate the probability of multiple LOS ranges, namely, reliability LOS. The results provide insights into how we might achieve a more reliable and informative understanding of arterial performance.     

Modelling,simulation and applications of longitudinal train dynamics

ABSTRACT

Significant developments in longitudinal train simulation and an overview of the approaches to train models and modelling vehicle force inputs are firstly presented. The most important modelling task, that of the wagon connection, consisting of energy absorption devices such as draft gears and buffers, draw gear stiffness, coupler slack and structural stiffness is then presented. Detailed attention is given to the modelling approaches for friction wedge damped and polymer draft gears. A significant issue in longitudinal train dynamics is the modelling and calculation of the input forces – the co-dimensional problem. The need to push traction performances higher has led to research and improvement in the accuracy of traction modelling which is discussed. A co-simulation method that combines longitudinal train simulation, locomotive traction control and locomotive vehicle dynamics is presented. The modelling of other forces, braking propulsion resistance, curve drag and grade forces are also discussed. As extensions to conventional longitudinal train dynamics, lateral forces and coupler impacts are examined in regards to interaction with wagon lateral and vertical dynamics. Various applications of longitudinal train dynamics are then presented. As an alternative to the tradition single wagon mass approach to longitudinal train dynamics, an example incorporating fully detailed wagon dynamics is presented for a crash analysis problem. Further applications of starting traction, air braking, distributed power, energy analysis and tippler operation are also presented.     

A signal-based fault detection and classification method for heavy haul wagons

This paper proposes a signal-based fault detection and isolation (FDI) system for heavy haul wagons considering the special requirements of low cost and robustness. The sensor network of the proposed system consists of just two accelerometers mounted on the front left and rear right of the carbody. Seven fault indicators (FIs) are proposed based on the cross-correlation analyses of the sensor-collected acceleration signals. Bolster spring fault conditions are focused on in this paper, including two different levels (small faults and moderate faults) and two locations (faults in the left and right bolster springs of the first bogie). A fully detailed dynamic model of a typical 40t axle load heavy haul wagon is developed to evaluate the deterioration of dynamic behaviour under proposed fault conditions and demonstrate the detectability of the proposed FDI method. Even though the fault conditions considered in this paper did not deteriorate the wagon dynamic behaviour dramatically, the proposed FIs show great sensitivity to the bolster spring faults. The most effective and efficient FIs are chosen for fault detection and classification. Analysis results indicate that it is possible to detect changes in bolster stiffness of ±25% and identify the fault location.     

行人微观仿真中的运动模型与行为模型——STEPS与NOMAD模型对比

为了解各类行人仿真模型的性能差异和适用范围,以选取适当模型进行交通枢纽行人仿真,对两种典型行人仿真模型进行研究。依据模型对行人行为描述的复杂程度,将行人仿真模型分为运动模型、部分行为模型、行为模型3类,并分别介绍了各自的特点。选取典型的运动模型软件STEPS和行为模型软件NOMAD,详细探讨其采用的数学模型,并通过4个仿真实例对比分析这两种模型的特点。分析结果得出两种模型在宏观与微观层面的异同点以及存在的问题。     

掺锶磷酸钙骨水泥的体外细胞生物学性能评价及其与掺锶量的相关性

目的 评价"SrHPO4/Ca4(PO4)2O/CaHPO4"系掺锶磷灰石骨水泥的生物相容性及其与掺锶量的关系.方法 通过急性全身毒性、热原性、溶血性、体外细胞毒性以及成骨细胞在材料表面的黏附、增殖与表达等实验,检测材料的性能及生物降解潜能.结果 "SrHPO4/Ca4(PO4)2O/CaHPO4"系掺锶磷灰石骨水泥的急性全身毒性、热原性、溶血性、体外细胞毒性均为合格.Sr-CPC的热原性、溶血性以及碱性磷酸酶值与掺锶量呈非线性关系.结论 含锶磷酸钙骨水泥体外细胞生物相容性良好,是安全的新型骨组织工程支架材料.     

兔眼环孢霉素A缓释微球的眼内释药性研究

目的建立兔眼房水中环孢霉素A缓释微球的高效液相测定方法,考察在不同给药剂量下兔眼房水中的药物代谢特性,为该药预防后发性白内障提供理论依据。方法兔眼行晶体囊外摘除,左眼前房及囊袋内注射环孢素微球,右眼给予空白微球作对照,采用高效液相色谱法监测给药后4周内兔眼房水中环孢霉素A的浓度。色谱柱为反相C18硅胶柱,柱温为60℃,流动相为乙腈-水(67∶33),检测波长210nm。结果兔眼房水中环孢霉素A的浓度在0.13-1.25mg/L范围内呈良好线性关系(r=0.9951),最低检测浓度0.13mg/L,回收率95.91%,日间和日内精密度均小于5.0%。缓释微球的释药速率适中,兔眼前房给药后可在2周内维持较高浓度,高低两种给药剂量下,环孢霉素A的吸收半衰期(t1/2Ka)和血浆清除速率(CL)经检验无统计学差异,药时曲线下面积(AUC)和峰浓度(Cmax)与剂量之间线性相关。结论环孢素A缓释微球在兔眼内有较高的生物利用度,实验期内可达到抑制后发性白内障的有效浓度。     

超大型预制桥墩吊装过程数值计算

以某跨海工程超大型预制桥墩吊装方案为例,基于有限元分析软件ANSYS建立超大型预制桥墩的数值模型,施加重力场模拟吊装过程,得到了吊装过程中桥墩的受力状态,评定了吊装方案的优劣。针对吊装过程中桥墩及吊装件较危险的受力区域进行分析,提出了优化建议。     

动力总成悬置支架多目标拓扑优化和强度分析

基于Optistruct,以支架的最小柔度、最大固有频率作为优化目标函数;以应力、体积作为约束函数,对一发动机后拉杆安装支架进行拓扑优化,优化结果表明:在满足悬置支架强度和模态要求下,质量减少了12%。     

油底壳有限元模态分析及实验验证

以EQ491型发动机油底壳为研究对象,通过有限元法得到了油底壳模型的固有频率和振型,运用模态实验技术,验证了有限元模型的合理性。在原始有限元模型的基础上,对油底壳模型进行约束模态分析,验证了油底壳结构的合理性,即油底壳固有频率远大于发动机机体激振频率。     

基于Moldflow的仪表面罩熔接线验证与结构优化

建立了分析模型,应用Moldflow软件对仪表面罩进行了注塑仿真分析。分析结果表明了熔接线位置,将其与实际零件熔接线缺陷进行了对比验证;同时从仪表面罩结构设计角度提出了可行性解决方案,并总结了在零件结构设计过程中导致熔接线缺陷的关键要素。对比验证结果表明:模流分析能有效指导优化仪表面罩结构,从而减少零件试模次数,提升零件质量,降低制造成本,缩短设计周期。