杭州城市交通拥挤现状及对策

在分析杭州市交通供需现状的基础上,提出了规划多中心结构和混合功能区,以减少不必要的出行以及合理配置交通源,并对改善中心区交通提出切实可行的对策。     

一种改进的基于密度和网格的高维聚类算法

提出了一种改进的基于密度和网格的高维聚类算法,并对算法有效性进行了验证.该算法通过减少样本点数量的方法达到减少稠密子空间数量.在发现高维稠密子空间时,对样本库进行精简.这些样本点的求得能有效减少求解最小聚类的时间复杂度.     

沥青混合料最大理论密度的计算

通过对矿质集料的物理状态及其在混合料中存在方式进行分析,探讨了沥青混合料最大理论密度计算中矿料密度的引用及其影响.     

青藏铁路无缝线路试验段轨道不平顺功率谱分析

以青藏铁路静态轨检车实测轨道不平顺数据为统计样本,基于样本平稳性检验,采用快速傅里叶变换方法进行样本空间的谱估计,并由MATLAB编程得到轨道不平顺谱密度。通过对比分析,发现青藏铁路无缝线路试验段建成1年多并通车近4个月以后,轨道高低、方向和轨距不平顺特征未发生明显改变,轨道状态基本稳定;试验段轨道状态良好,与我国一级干线轨道具有相似的平顺性特征;无缝线路轨道高低和方向2~4 m短波不平顺优于有缝线路轨道。     

特种越野车关键部件疲劳分析方法的探索

通过对某特种越野车进行道路试验,获取不同工况下关键部件动应力的时域、频域信息;在此基础上,对传统时域疲劳分析方法和频域的各种不同疲劳分析方法进行对比。     

西部地区公路网规模和结构改善研究

公路网改善是西部交通发展的主要内容,其对西部地区社会环境产生了重要的推动作用。通过对西部地区公路网里程、密度和结构的分析和对比研究,结合西部十二省市1999年和2004年各级公路情况,并与全国同期平均水平相比较,分析西部公路网改善的情况。     

A new model for temporal–spatial stochastic analysis of vehicle–track coupled systems

The vehicle–track coupled system has a random nature in the time–space domain. This paper proposes a computational model to analyse the temporal–spatial stochastic vibrations of vehicle–track systems, where the vehicle–track system is divided into a vehicle subsystem, track subsystem, and interfacial subsystem between the wheel and rail. In this model, the time-varying randomicity of dynamical parameters of the vehicle system, correlation, and randomness of the track structural parameters in the time–space joint dimensions, and randomness of the track random irregularities are considered. A probability dimension-reduction method was used to randomly combine different random variables. Furthermore, the probability density evolution method was applied to solve the delivery problem of probabilities between excitation inputs and response outputs. The temporal–spatial stochastic vibrations of the vehicle–track system with different coefficients of variation were studied, in which we assumed that the dynamic parameters obeyed the normal distribution, and the stochastic simulation method of the track random irregularities is probed into. The calculated results from this model are consistent with the actual measured results and physical conceptions. Thus, the temporal–spatial stochastic evolutionary mechanism can be explored, and the limits of dynamic indices can be formulated by using this developed model.     

饲料加硼对摄入过量氟的实验大鼠骨损伤的预防作用

目的探讨饲料加硼对过量氟摄入的大鼠骨损伤的预防作用。方法24只4-5周龄Sprague-Dawley(SD)大鼠分为:对照组(喂饲基础饲料,饮蒸馏水)、过量氟组[喂饲基础饲料,饮含100mg/LF-(氟化钠221mg/L的蒸馏水)]、硼预防组(喂饲加硼饲料,饮含100mg/LF-的蒸馏水)。实验3月后测量大鼠血清氟、硼含量及血清碱性磷酸酶(alkaline phosphatase,AKP)活性、骨氟和骨总RNA含量、胫骨纵径横径和干重及骨密度(bone mineral density,BMD),并检测大鼠股骨生物力学特性。结果和对照组比较,过量氟组大鼠血清氟、骨氟含量和血清AKP活性显著增高;骨总RNA含量、全身骨骼平均BMD和胫骨BMD降低;胫骨纵径、横径和干重减小;股骨最大负荷减低,最大形变增加。相比过量氟组,硼预防组大鼠血清氟和骨氟含量及AKP活性明显下降;骨总RNA含量、全身骨骼平均BMD、腰椎和胫骨BMD显著增高;胫骨纵径、横径和干重,股骨最大负荷明显增加。3组大鼠血清硼含量无显著性差异。结论大鼠摄入过量氟可出现明显的骨损伤,饲料加硼对此有一定的预防作用。     

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%。     

Impact of regional population density on walking behavior

Land use can influence walking (measured by the number of steps) and so the health of people. This paper presents the result of empirical research on the impact of regional population densities (inhabitants per inhabitable area) on the number of steps (all steps, both outdoors and indoors). With data collected from almost 11,000 respondents in 148 Japanese regions, we estimate polynomial regression models, the total number of steps being the dependent variable and densities being the main independent variable. Regional population density significantly affects the number of steps after controlling for individual and household attributes. The estimated population density that maximizes the number of steps is around 11,000?persons/km². Increasing densities, up to levels of around 11,000?inhabitants/km², could increase walking and consequently the health of inhabitants. The population density elasticity of the number of steps is 0.046–0.049 in a simple log linear regression model without a peak.