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21.
发动机进气道流动特性的数值模拟 总被引:1,自引:0,他引:1
以发动机整个进气系统为研究对象,建立其三维流动模型,进行流动的数值模拟计算,模拟结果与试验值吻合良好,验证了模型的正确性;在此基础上,对比分析不同升程、不同网格单元模型及不同湍流模型下的流动现象,结果表明:增加网格单元数,计算精度并没有显著提高,而采用RNGk-ε模型计算,可以更好地处理流线弯曲程度较大的流动,结果更为准确。 相似文献
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In most metropolitan areas, an emergency evacuation may require a potentially large number of pedestrians to walk some distance to access their passenger cars or resort to transit systems. In this process, the massive number of pedestrians may place a tremendous burden on vehicles in the roadway network, especially at critical intersections. Thus, the effective road enforcement of the vehicle and pedestrian flows and the proper coordination between these two flows at critical intersections during a multimodal evacuation process is a critical issue in evacuation planning. This article presents an integrated linear model for the design of optimized flow plans for massive mixed pedestrian–vehicle flows within an evacuation zone. The optimized flow can also be used to generate signal timing plans at critical intersections. In addition, the linear nature of the model can circumvent the computational burden to apply in large-scale networks. An illustrating example of the evacuation around the M&T Bank Stadium in downtown Baltimore, MD, is presented and used to demonstrate the model's capability to address the complex interactions between vehicle and pedestrian flows within an evacuation zone. Results of simulation experiments verify the applicability of our model to a real-world scenario and further indicate that accounting for such conflicting movements will yield more reliable estimation of an evacuation's required clearance time. 相似文献
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Yanru Zhang 《智能交通系统杂志
》2016,20(3):205-218
》2016,20(3):205-218
Short-term traffic flow forecasting is a critical function in advanced traffic management systems (ATMS) and advanced traveler information systems (ATIS). Accurate forecasting results are useful to indicate future traffic conditions and assist traffic managers in seeking solutions to congestion problems on urban freeways and surface streets. There is new research interest in short-term traffic flow forecasting due to recent developments in intelligent transportation systems (ITS) technologies. Previous research involves technologies in multiple areas, and a significant number of forecasting methods exist in the literature. However, most studies used univariate forecasting methods, and they have limited forecasting abilities when part of the data is missing or erroneous. While the historical average (HA) method is often applied to deal with this issue, the forecasting accuracy cannot be guaranteed. This article makes use of the spatial relationship of traffic flow at nearby locations and builds up two multivariate forecasting approaches: the vector autoregression (VAR) and the general regression neural network (GRNN) based forecasting models. Traffic data collected from U.S. Highway 290 in Houston, TX, were used to test the model performance. Comparison of performances of the three models (HA, VAR, and GRNN) in different missing ratios and forecasting time intervals indicates that the accuracy of the VAR model is more sensitive to the missing ratio, while on average the GRNN model gives more robust and accurate forecasting with missing data, particularly when the missing data ratio is high. 相似文献
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以混凝土搅拌站袋式除尘器为研究目标,在solidworks中建立袋式除尘器的三维实体,利用fluent流体分析软件对内部流场进行数值模拟,得到其内部的速度、压力以及流体轨迹等参数分布,来探究影响除尘器使用寿命的因素,为袋式除尘器的优化提供理论支撑。 相似文献
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本文通过控制变量法进行工况设计,对多孔管进行数值模拟和试验对比,分别研究多孔管管径、管长、孔径、孔间距、水压五个变量对多孔管孔出流速及流量的影响。使用ANSYS软件中的DesignModeler模块进行几何建模,ICEM中的O-Block技术进行流体计算域网格划分,Fluent软件进行求解。研究发现,多孔管管内径和管长的增加均使孔出流速和出流量减小,管长度的增加会影响孔出流沿程的均匀性;孔径的增大使孔出流速明显减小,且影响孔出流沿程的均匀分布,出流量受孔径的影响较复杂,在孔径不超过2.5mm时可以认为出流量与孔径的平方成正比;孔间距的增大对孔出流速和沿程均匀分布基本无影响,而与出流量成正比。最后将数值模拟结果和试验进行对比,发现试验数据所反映的多孔管出流量与管内径、管长、孔径和孔间距的关系与数值模拟基本吻合,而试验中管的出流量普遍比数值模拟小。 相似文献
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文章阐明了密封性测试在批量生产方式的汽车制造业中的重要性,介绍了广泛使用的压力法和流量法泄漏检测的基本原理,着重通过实例说明了根据不同检漏方法开发的泄漏测试设备的特点及其在生产中的适用性,并据此对企业在密封工序工艺规划中的设备选择原则进行了分析。通过对用于燃油系统中的脱附试验装置的介绍,进一步表明了基于合理方案研制的专用密封性检测设备能为产品质量提供可靠的保证。 相似文献
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The limited driving ranges, the scarcity of recharging stations and potentially long battery recharging or swapping time inevitably affect route choices of drivers of battery electric vehicles (BEVs). When traveling between their origins and destinations, this paper assumes that BEV drivers select routes and decide battery recharging plans to minimize their trip times or costs while making sure to complete their trips without running out of charge. With different considerations of flow dependency of energy consumption of BEVs and recharging time, three mathematical models are formulated to describe the resulting network equilibrium flow distributions on regional or metropolitan road networks. Solution algorithms are proposed to solve these models efficiently. Numerical examples are presented to demonstrate the models and solution algorithms. 相似文献
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