利用模态参数对轮胎纯侧偏特性建模

在轮胎静生趣特怀建模的基础上，探讨了利用轮胎模态参数对轮胎纯侧偏特性的建模。通过侧向激振试验提取了轮胎的侧向模态参数并计算了轮胎在不同载荷下的偏离特性，计算结果与以往轮胎的试验结果具有很好的一致性。计算结果转化为无量纲形式并与经验模型进行了比较，建模和计算结果充分说明了模型的合理并显示了建模方法的优越性。     

汽车的力学参数与稳态转向特性

本文以汽车力学参数试验台测出的数据为基础，为通过建立轮胎侧偏角，车厢侧倾角，回正力矩与侧向加速度之间的关系，运用最小二乘法对测试数据进行线性曲线拟合，找出了这些数据与汽车记转向特性之间的关系，并按国家标准ＧＢ／Ｔ３０４７－９１中的有关规定对被测试车辆的稳态转向特性进行了评价 。     

轿车悬架阻尼二阶最优控制设计方法研究

本文以半动悬架与二阶最优控制理论为基础，通过被动悬架阻尼的主动力表示，结合对最优控制力的分解以及最优评价指标，振动加速功率谱密函数与系统振动阻尼之间的关系的研究，建立了多自由度汽车振动系统在随机输入下以振动加速度功率谱密度函数极小为目标的悬架最优减振器阻尼参数的方法，并给出了７自由汽车振动最优减振器阻尼设计实例。     

沥青混凝土摊铺机熨平板与热沥青混合料相互作用的动力学模型

在介绍了沥青混凝土摊铺机熨平板与热沥青混合料相互作用的特点后，叙述了热沥青混合料的流变特性，并给出了流变模型，就此得出了熨平板与沥青混合料相互作用的三种动力学模型。     

净化消声器压力损失计算方法

本文综合运用流体力学、热力学及化学有关理论,对柴油机用的净化消声器的压力损失算法进行推导及试验验证,为在净化消声器设计阶段预测净化消声器对发动机性能的影响提供了可用的手段。     

钢管活性粉末混凝土轴压短柱受力性能试验研究

进行22根钢管活性粉末混凝土(钢管RPC)轴压短柱试验,分析其荷载-变形曲线、破坏特征和影响极限承载力的主要因素。试验研究表明:钢管RPC轴压短柱的荷载-纵向应变曲线弹性阶段约为极限荷载的90％~95％;套箍系数ξ较小时,在达到极限荷载后承载力急剧下降;ξ较大时,在达到极限荷载后承载力下降平缓并呈回升趋势。ξ较小的试件多呈剪切破坏形态;ξ较大的试件所有断面上均被墩粗,试件的上、下两端明显局部鼓曲。构件承载力随RPC强度fc的提高而提高,两者基本成线性关系;套箍系数ξ越大,构件承载力也越大,但钢管对RPC的约束效果比对普通混凝土的差。提出的钢管RPC轴压短柱极限承载力的实用计算公式计算出的结果与试验结果吻合良好。     

非自由液化场地地基动力性能大型振动台模型试验研究

基于1∶10模型大型振动台试验,研究非自由液化场地的地基动力性能。液化场地条件下,与自由场地基相比,非自由场地地基的自振频率明显加大、动力耗能作用提高较小。土层液化前且在小震输入下,地基动力变形的线性特征较突出,主要表现为对地震波的动力放大作用,加速度反应自下而上逐渐增大;土层完全液化后,地基加速度反应自下而上也逐渐增大,这是由于液化地基的层间剪切运动加快且加快的速率自下而上逐渐增大所致。地基孔压变化主要受两方面因素影响:一是随埋深减小,孔压减小,但孔压比增大;二是离桩距离越近,孔压和孔压比越大。土层液化前,输入波主要峰值过后,自下而上孔压消散逐渐减慢。较大震输入下,自下而上孔压有减小的趋势,但最大孔压比均很快达到液化孔压比;输入波主要峰值过后,孔压消散很缓慢,尤其是孔压消散随埋深减小越来越慢。试验中还出现瞬时负孔压的有趣现象,这也许是由于可液化土层发生瞬时膨胀作用所致。     

山区高速公路填石路堤压实质量控制

目前对填石路堤的施工工艺与质量控制标准,世界各国、各地区的方法都不尽相同。本文针对填石路堤的特点,以宜长高速公路填石路堤为例,探讨和研究了山区高速公路填石路堤压实质量控制技术,将压实度、固体体积率、碾压遍数、松铺厚度、沉降率、动态模量等多种质量控制标准进行比较,从而比较合理地提出了填石路堤快速无损检测及质量控制方法。     

Who you are is how you travel: A framework for transportation mode detection using individual and environmental characteristics

With the increasing prevalence of geo-enabled mobile phone applications, researchers can collect mobility data at a relatively high spatial and temporal resolution. Such data, however, lack semantic information such as the interaction of individuals with the transportation modes available. On the other hand, traditional mobility surveys provide detailed snapshots of the relation between socio-demographic characteristics and choice of transportation modes. Transportation mode detection is currently approached using features such as speed, acceleration and direction either on their own or in combination with GIS data. Combining such information with socio-demographic characteristics of travellers has the potential of offering a richer modelling framework that could facilitate better transportation mode detection using variables such as age and disability. In this paper, we explore the possibility to include both elements of the environment and individual characteristics of travellers in the task of transportation mode detection. Using dynamic Bayesian Networks, we model the transition matrix to account for such auxiliary data by using an informative Dirichlet prior constructed using data from traditional mobility surveys. Results have shown that it is possible to achieve comparable accuracy with the most widely used classification algorithms while having a rich modelling framework, even in the case of sparse mobility data.     

Tradable network permits: A new scheme for the most efficient use of network capacity

Akamatsu et al. (2006) proposed a new transportation demand management scheme called “tradable bottleneck permits” (TBP), and proved its efficiency properties for a single bottleneck model. This paper explores the properties of a TBP system for general networks. An equilibrium model is first constructed to describe the states under the TBP system with a single OD pair. It is proved that equilibrium resource allocation is efficient in the sense that the total transportation cost in a network is minimized. It is also shown that the “self-financing principle” holds for the TBP system. Furthermore, theoretical relationships between TBP and congestion pricing (CP) are discussed. It is demonstrated that TBP has definite advantages over CP when demand information is not perfect, whereas both TBP and CP are equivalent for the perfect information case. Finally, it is shown that the efficiency result also holds for more general demand conditions.