基于正则化与B样条曲线的桥梁影响线识别方法

为了快速评估既有桥梁的安全性，研究了基于多源实测信息快速准确识别桥梁影响线的方法。首先利用桥梁动力响应及车辆移动的实测信息，建立影响线识别的数学模型。在模型中引入Tikhonov正则化方法以解决病态矩阵求解问题，通过设置罚函数项以取得较光滑并贴近真实的影响线。然后通过基函数扩展法重构影响线，将其表示为一系列三次B样条基函数的线性组合，从而将问题从识别众多影响线因子简化为识别少量基函数权重系数。为了验证上述方法的可行性，先在实验室模拟钢制试验小车在钢筋混凝土三跨连续梁模型上移动的过程。基于实测布置于梁底的多测点挠度和应变响应时程以及相应的试验车信息，可识别出不同位置测点的挠度和应变影响线。试验结果表明无论是影响线的总体形状还是局部峰值，识别解与基准解均能较好地吻合。该方法还被进一步应用到一座简支现浇预应力混凝土箱梁桥。该试验通过实测检测车过桥期间的桥梁跨中截面若干测点的动应变、动挠度以及车辆重力、实时位置等信息，准确识别了对应于不同车道的挠度和应变影响线。通过对比桥梁静载实测和影响线虚拟加载结果，发现两者偏差绝对值在5%以内。在一定程度上表明了该影响线识别方法具有较高精度，并具备工程应用的良好潜力。     

爆破振动对宋家湾隧道施工的影响

为评价在生产常规作业阶段爆破施工方式对隧道结构的影响,对宋家湾隧道爆破振动进行监测,以获取主振频率,最终以频率和振动速度2个指标评估隧道爆破作业振动效应。本次爆破的最大振动速度为3.1cm/s,主振频率范围为27.34～70.31Hz,最大振动速度远小于国家标准。可知对隧道支护结构影响有限频率范围为27.34～70.31Hz,远高于隧道的自振频率（一般在3～9Hz范围内）,不会出现共振放大现象。     

挖切方式对沥青路面再生材料级配的影响和处置对策

分析挖切方式的不同对再生材料级配的影响,找出其规律,对于逐步完善沥青路面再生工艺具有重要意义。     

桥梁工程建设对生态环境的影响

通过分析桥梁工程在建设过程中，各施工环节对当地生态环境造成的不良影响，提出改善措施，达到建设与环保相和谐且可持续发展的目标。     

Piecewise affine control for lane departure avoidance

This article presents the design of a lane departure avoidance system which is conceived to operate even in demanding manoeuvres with respect to the lateral vehicle dynamics. Piecewise affine state feedback and output feedback controllers are used to handle the nonlinear behaviour of the lateral tyre forces. The controllers are designed based on the search of a piecewise quadratic Lyapunov function casted as a bilinear matrix inequalities problem. Experimental tests demonstrate the performance of the controller in degraded road conditions.     

Flexible long range planning using low cost information

Contemporary transport planning requires a flexible modelling approach which can be used to monitor the implementation of a long term plan checking regularly its short term performance with easily available data; the original model is periodically updated using low cost information and this allows the evaluation of the changes to the plan which may be required. Such an approach requires models suited to regular updating and to the use of data from different sources. Models to update trip matrices from traffic counts have been available for some time; however, the estimation and/or updating of other model stages with low cost data has escaped analytical treatment. The paper discusses this idea and formulates the updating problem for an example involving a joint destination/mode choice model under various assumptions about the nature of the available data. Analytical solutions are proposed as well as some general conclusions.requests for offprints     

A zonal inference model based on observed smart-card transactions for Santiago de Chile

The collection of origin–destination data for a city is an important but often costly task. This way, there is a need to develop more efficient and inexpensive methods of collecting information about citizens’ travel patterns. In this line, this paper presents a generic methodology that allows to infer the origin and destination zones for an observed trip between two public transport stops (i.e., bus stops or metro stations) using socio-economic, land use, and network information. The proposed zonal inference model follows a disaggregated Logit approach including size variables. The model enables the estimation of a zonal origin–destination matrix for a city, if trip information passively collected by a smart-card payment system is available (in form of a stop-to-stop matrix). The methodology is applied to the Santiago de Chile’s morning peak period, with the purpose of serving as input for a public transport planning computational tool. To estimate the model, information was gathered from different sources and processed into a unified framework; data included a survey conducted at public transport stops, land use information, and a stop-to-stop trip matrix. Additionally, a zonal system with 1176 zones was constructed for the city, including the definition of its access links and associated distances. Our results shows that, ceteris paribus, zones with high numbers of housing units have higher probabilities of being the origin of a morning peak trip. Likewise, health facilities, educational, residential, commercial, and offices centres have significant attraction powers during this period. In this sense, our model manages to capture the expected effects of land use on trip generation and attraction. This study has numerous policy implications, as the information obtained can be used to predict the impacts of changes in the public transport network (such as extending routes, relocating their stops, designing new routes or changing the fare structure). Further research is needed to improve the zonal inference formulation and origin–destination matrix estimation, mainly by including better cost measures, and dealing with survey and data limitations.     

一种基质沥青快速升温装置的研制

现代交通的发展和道路等级的提高,对路用沥青的性能提出了更高的要求。在沥青中加入SBS、PE和橡胶粉等添加剂以改善基质沥青性能的方法得到了越来越广泛的应用,但改性沥青制作工艺对基质沥青的工作温度有严格的要求。探讨基质沥青的快速加热工艺和相关专用设备的研发是保证改性沥青制作质量的关键之一。     

Alcohol and traffic accidents in Japan

Alcohol induces many traffic accidents. Recently, the number of incidences of driving under the influence of alcohol (DUIA) has decreased in Japan; however, the number of drink-driving situations remains constant. Toughening the penalty has not been a particularly effective method for reducing the number of DUIAs. To reduce accidents resulting from DUIA, an approach other than sanctions may be necessary. Alcohol impairs attentional control for simple tasks and increases the propensity for risk-taking behavior; these are the major perils of DUIA. There are many risk factors for DUIA, including area, time, personal traits, the use of other substances, and alcohol use disorder. Each individual has a different risk factor for drink-driving, so it is important to provide more education for individuals and interventions for alcohol usage according to each risk factor.     

施工标段划分对隧道弃砟利用率及造价的影响分析

由项目实例入手,从建设管理方的角度,定性分析影响隧道弃砟利用的因素,定量分析初步设计与施工招标在隧道弃砟利用方面存在的偏差及其对工程造价产生的影响,得出施工标段划分导致隧道弃砟利用率降低和增加工程成本的结论,以期对设计阶段工程造价的合理确定提供理论依据。