软土地基现浇连续箱梁的基础处理与支架搭设

由于软土特殊的工程特性,在软土地区采用满堂支架法修建连续箱梁桥,对软土地基的基础处理十分关键。结合某市高架预应力连续箱梁桥的工程实例,对基础处理的方案和支架搭设进行了阐述,为同类工程提供借鉴。     

岩溶隧道处治方案的支护参数选取

文章用配筋等效法模拟钢支撑对喷混凝土的加强作用,并根据《铁路工程设计技术手册——隧道》中的钢筋混凝土配筋计算公式推导出初期支护与二次衬砌的安全系数计算公式,以此为基础算出不同支护方案所能承受的极限荷载,再结合隧道岩溶段的实际情况选择支护参数。     

基于SVM的隧道衬砌空洞填充物雷达图像识别研究北大核心CSCD

衬砌背后空洞及其填充物对隧道结构安全具有重要影响,开展空洞探测识别对于结构安全评估和病害处置具有重要意义。首先采用室内试验和FDTD正演模拟相结合的方法,获得了空洞内填充空气、水、干砂、湿砂条件下的雷达图谱数据,并对不同填充物波形规律进行对比分析;然后,基于支持向量机算法对波形特征进行提取和分类识别,建立了一种空洞填充物的人工智能辨识方法。研究结果表明,采用傅里叶变换前的平均值、方差、平均绝对离差和傅里叶变换后的最大幅度值max(fft(X))四个统计量作为支持向量机的识别特征,可以有效区分出衬砌背后填充物的六种类型;当采取单一倾向数据时,识别准确率较好,六种物质二分类问题准确率均可以达到90%以上。     

Development of a driving simulator based eco-driving support system

This research developed an eco-driving feedback system based on a driving simulator to support eco-driving training. This support system could provide both dynamic and static feedback to improve drivers’ eco-driving behavior. In the process of driving, drivers could get voice prompts (e.g., please avoid accelerating rapidly) once non-eco-driving behavior appeared, and also could see the real-time CO₂ emissions curves. After driving, drivers could receive an eco-driving evaluation report including their fuel consumption rank, potential of fuel saving and driving advice corresponding to their driving behavior. In this support system, five items of non-eco-driving behavior (i.e., quick accelerate, rapid decelerate, engine revolutions at a high level, too fast or unstable speed on freeways and idling for a longer time) were defined and could be detected. To validate this support system’s effectiveness in reducing fuel consumption and emissions, 22 participants were recruited and three driving tests were conducted, first without using the support system, then static feedback and then dynamic feedback utilized respectively. A reduction of 5.37% for CO₂ emissions and 5.45% for fuel consumption was obtained. The results indicated that the developed eco-driving support system was an effective training tool to improve drivers’ eco-driving behavior in reducing emissions and fuel consumption.     

高速铁路接触线不平顺线谱研究

功率谱密度函数可以从波长和幅值两方面反应接触线不平顺的特征和规律,是研究接触线不平顺状态的重要工具。本文以我国多条高速铁路线路的接触线垂向不平顺实测数据为基础,采用最大熵谱估计得到接触线不平顺实测功率谱,并提出一种普适性强、结构简单的不平顺线谱模型。研究结果表明:我国高速铁路线路的PSD最值均小于0.01m2/m-1,接触线整体不平顺状态较好;随机不平顺中含有的周期性简谐波成分,波长主要为单倍跨距和单倍吊弦距;文中建立的接触线不平顺线谱新模型参数少、普适性强、拟合效果优,并给出该模型参数的非线性最小二乘估算结果。     

大伙房引水隧洞不良地质洞段围岩变形监测及支护措施分析

文章对采用TBM法施工的超长隧洞中含有断层和破碎带的不良地质洞段围岩进行的收敛变形监测数据进行了非线性回归分析,判断出了支护结构对围岩变形的影响。结果发现,支护初期围岩变形很大,仰供浇筑后围岩变形速率明显减小。因此在TBM施工过程中,对不良地质洞段除了一般的支护措施以外,应及时进行仰拱封闭施工;对不良地质洞段围岩变形进行定量分析,判断支护参数的合理性,为TBM顺利通过后面的不良洞段提供经验教训。本成果对同类工程的施工也有一定的借鉴价值。     

决策支持物流管理信息系统的设计与开发

介绍了决策支持系统的概念及其内容，分析了在物流管理信息系统基础上实施决策支持系统的必要性和可行性，并针对库存问题研制了决策支持系统，研究了决策支持在物流企业中的实际应用．利用现代的信息分析技术，把决策支持系统应用于信息系统，将管理信息系统延伸为决策支持下的管理系统，为企业决策者提供决策支持，提高企业核心竞争力．     

A New Method for Accurately Estimating the Weight of Moving Vehicles Using Piezoelectric Sensors and Adaptive-footprint Tire Model

Summary This paper presents new methods for estimating the axle weight of a moving vehicle, using two piezoelectric sensors and adaptive-footprint tire model. It is more difficult to weigh vehicles in motion accurately than to weigh standing vehicles. The difficulties in weighing moving vehicles result from sensor limitations as well as dynamic loading effects induced by vehicle/pavement interactions. For example, two identical vehicles with the same weight will generate sensor signals that differ in the shape and the peak value, depending the tire pressure, vehicle speed, road roughness, and sensor characteristics. This paper develops a method that is much less sensitive to these variable factors in determining the axle weight of a moving vehicle. In the developed method, first the piezoelectric sensor signal is reconstructed using the inverse dynamics of a high-pass filter representing the piezoelectric sensor. Then, the reconstructed signal, is normalized, using the nominal road/tire contact length obtained using an adaptive-footprint tire model, and then integrated. Experiments are performed with 3 vehicles of known weight ranging from 1,400 kg to 28,040 kg. The developed method is compared to two other algorithms. Results show that the developed method is most consistent and accurate.     

广东铁通宽带业务支撑系统建设探讨

对广东铁通宽带业务支撑系统现状进行介绍；并对一个业务系统在实践过程中所遇到的问题进行探讨；提出如何根据企业业务发展的实际情况，对业务系统进行调整和改造。     

基于支持向量机的船舶航向广义预测控制研究

船舶的动态性能具有大惯性、大时滞、非线性等特点,采用基于结构风险最小化原则的神经网络———支持向量机(SVM),充分发挥其可以任意逼近非线性模型的良好特性对船舶模型进行有效辨识,以此作为广义预测控制(GPC)算法中的预测模型,并加以相应的GPC算法达到保持航向的目的。仿真结果表明:SVM学习速度快,在小样本情况下具有良好的非线性建模和泛化能力;基于SVM的GPC算法在航向保持方面具有很好的控制性能。