高速公路软岩隧道复合支护机理的FLAC解析

结合软弱围岩隧道工程地质和支护设计特点 ,应用有限差分方法 ( FLAC)模拟研究了软岩隧道受力变形特征和围岩收敛曲线 ,并分析了复合支护结构中一次支护和二次支护结构的作用机理及作用效果。研究结果表明 ,软岩隧道开挖和一次支护后围岩支护压力随拱顶位移增加而连续减小 ,预测的最大位移均发生在隧道拱顶。但是 ,在同样支护压力下 ,考虑软岩流变特征的收敛曲线的拱顶位移要大得多 ,必须及时设置二次支护。另外二次支护结构还将起到承受流变压力的作用     

图像测量技术在汽车轴距差检测中的应用研究

通过采集汽车直行中轮胎印迹图像 ,利用偏差相对测量法 ,即先测出汽车单轴的偏斜量 ,然后计算出汽车轴距左右差。通过开发的检测系统进行试验 ,结果表明 ,检测精度满足汽车轴距左右差在线检测要求。     

滑模摊铺水泥混凝土路面施工配合比计算方法

本文针对我国目前大规模采用滑模摊铺机施工高速公路水泥混凝土路面，为适应滑模摊铺施工机械性能，充分发挥滑模摊铺机施工优势，确保水泥混凝土路面强度、平整度等指标而提出的水泥混凝土施工配合比计算方法。     

考虑荷载历史的既有桥梁结构可靠度分析方法

针对既有桥梁结构的特点,建立了考虑荷载历史的可靠度分析模型,并讨论了其计算方法。应用所研究的方法,对一座实际钢筋混凝土桥梁的承载能力可靠度进行了分析和评估;结果表明,荷载历史对该桥可靠度提高的影响不容忽视。     

磁流变阻尼器在洪山大桥拉索减振中的应用

介绍了一种新型磁流变(MR)阻尼器--永磁调节装配式磁流变阻尼器在长沙洪山大桥拉索减振的应用及试验研究情况,得到了安装阻尼器前后拉索的动力特性,结果表明这种新型磁流变阻尼器能有效地提高拉索的模态阻尼比,抑制拉索的大幅振动.由于该阻尼器无需供电,装配简单,维修方便,与其他的磁流变阻尼器相比,具有较高的推广应用价值.     

使用乙醇还原剂的NOx-SCR催化剂的性能评价

采用计算机辅助分析的方法设计了乙醇还原剂添加装置，并使用这套装置在发动机台架上进行了稀燃NOx选择催化还原（SCR）催化剂的性能评价试验。试验结果表明，在30000h^-1空速、排温为350～420℃范围的条件下，该催化剂的NOx转化率维持在90％以上，而在低温和高温下的转化率较低；随着乙醇添加量的增加，催化剂NOx转化率提高，但同时会增加THC排放；当空速超过40000h^-1后，催化剂性能有所下降。     

全承载式车身结构浅析

简要说明了客车全承载车身技术的重要性和全承载车身的优越性；阐述了全承载车身的发展历程和在我国的应用现状，最后详细说明了全承载车身结构的特点及优点，使我们对于全承载车身结构技术有了一个更全面的认识。     

Study on dynamic characteristics of vehicle gearbox under multi-boundary conditions

With the development of vehicle gearbox to high-power-density and high-speed, how to predict and optimize the dynamic characteristics of vehicle gearbox becomes increasingly prominent. Aiming at the vehicle gearbox, this paper comprehensively and deeply studies the dynamic characteristics under the multi-boundary conditions. The generation mechanism of the multi-source excitations triggering the gearbox vibration is analyzed firstly. The vibration transfer path of the gearbox is explored. Secondly, the engine excitation, the gear meshing excitation and the bearing support load are numerically calculated. According to the finite element method, a fluid-solid coupling finite element model of the gearbox body is established to predict the gearbox dynamic responses based on the Galerkin method and the Hamiltonian variational principle. Finally, the effects of the excitation condition, oil height and reinforcement forms on the vibration responses of the gearbox body are thoroughly studied by simulation. The analysis indicates that it not only helps to modify and improve the method of forecasting the gearbox dynamic response, and also provides the theoretical and technical guidance for the gearbox design and optimization.     

Target priority determination methods by interval-valued intuitionistic fuzzy sets with unknown attribute weights

The paper aims at the problem of multi-targets threat degree being hard to be evaluated accurately in complex air defense battlefield environments. Combined with multi-sensors information fusion and interval-valued intuitionistic fuzzy sets (IVIFS) theories, the target priority determination is studied. The score and accuracy functions of IVIFS are improved with thinking about the hesitating information in order to increase the rationality. Then, the influence factors of target priority and the nonlinear relationship between the influence factors and target priority are analyzed. Next, the algorithms for calculating the factor weights and sensor weights are given. Based on the theory of IVIFS and technique for order preference by similarity to an ideal solution (TOPSIS), two methods of target priority determination based on the IVIFS and TOPSIS are proposed. At last, an application example verifies the effectiveness and flexibility of the proposed algorithms.     

Exploring the impact of walk–bike infrastructure,safety perception,and built-environment on active transportation mode choice: a random parameter model using New York City commuter data

This study estimates a random parameter (mixed) logit model for active transportation (walk and bicycle) choices for work trips in the New York City (using 2010–2011 Regional Household Travel Survey Data). We explored the effects of traffic safety, walk–bike network facilities, and land use attributes on walk and bicycle mode choice decision in the New York City for home-to-work commute. Applying the flexible econometric structure of random parameter models, we capture the heterogeneity in the decision making process and simulate scenarios considering improvement in walk–bike infrastructure such as sidewalk width and length of bike lane. Our results indicate that increasing sidewalk width, total length of bike lane, and proportion of protected bike lane will increase the likelihood of more people taking active transportation mode This suggests that the local authorities and planning agencies to invest more on building and maintaining the infrastructure for pedestrians. Further, improvement in traffic safety by reducing traffic crashes involving pedestrians and bicyclists, will increase the likelihood of taking active transportation modes. Our results also show positive correlation between number of non-motorized trips by the other family members and the likelihood to choose active transportation mode. The model would be an essential tool to estimate the impact of improving traffic safety and walk–bike infrastructure which will assist in investment decision making.