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201.
典型船舶燃料电池推进系统研究 总被引:1,自引:0,他引:1
为拓展燃料电池在船舶领域内的应用,针对船用燃料电池电力推进系统进行相关研究。首先,根据船舶的工作环境及船舶的运行工况,选择了厦门地区运营的新型太阳能混合动力游览船作为典型船舶。其次,根据相关母型船的海试以及燃料电池的工作特性,确定了改造后电力推进系统的能量管理策略。最后,基于MATLAB/Simulink建立燃料电池船舶仿真试验平台,验证该系统的可行性。仿真结果显示,燃料电池的输出功率能够分别维持在2 k W和3.6 k W的2个功率点,满足能量管理策略要求,在理论上验证了燃料电池可作为小型船舶的动力源。 相似文献
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宜万铁路马鹿箐隧道DK255+978处通过一高压富水隐伏溶腔,先后发生多达19次的突涌水(泥)灾害.在对该高压富水隐伏岩溶的处治中,系统地运用了释能降压原理,释放了溶腔所存储的能量,降低了水土压力对隧道的稳定性影响.释能降压技术主要采取了综合地质预报手段探明溶腔边界、内部充填物特性和分布特征等,并根据溶腔的水压、水量测试结果进行排水系统规划、钻孔泄水,采用控爆措施揭开溶腔,并进行实时预警预报监控.结果表明,运用释能降压技术处治马鹿箐+978溶腔,规避了岩溶溃水的风险,取得了良好的效果. 相似文献
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船舶能效设计指数(EEDI)是对未来造船界有深远影响的一项新的IMO法规。本文从政治、经济及技术等方面对船舶能效设计指数推出的合理性进行了全面的阐述。 相似文献
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Reducing energy consumption and controlling greenhouse gas emissions are key challenges for urban residents. Because urban areas are complex and dynamic, affected by many driving factors in terms of growth, development, and demographics, urban planners and policy makers need a sophisticated understanding of how residential lifestyle, transportation behavior, land-use changes, and land-use policies affect residential energy consumption and associated CO2 emissions. This study presents an approach to modeling and simulating future household energy consumption and CO2 emissions over a 30-year planning period, using an energy-consumption regression approach based on the UrbanSim model. Outputs from UrbanSim for a baseline scenario are compared with those from a no-transportation-demand model and an Atlanta BeltLine scenario. The results indicate that incorporation of a travel demand model can make the simulation more reasonable and that the BeltLine project holds potential for curbing energy consumption and CO2 emissions. 相似文献
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基于统计能量法(SEA),采用VA One软件,建立某85 m平台工作船的SEA模型,进行不同工况下的舱室噪声预测,并与实测值进行比较。对比分析平台工作船在航行工况下不同主机负荷时的舱室噪声规律以及动力定位(DP)工况下侧推桨45%负荷时的舱室噪声规律;对比不同激励对舱室噪声的影响,并分析舱室噪声预测时应考虑的一些因素。通过对比不同工况下的噪声预测值与实测值发现,艏侧推桨是平台工作船最重要的噪声源,尤其是在侧推桨出现空泡情况下,噪声超标严重。分析结果可为该类型船舶的降噪措施提供参考。 相似文献
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This paper focuses on comparing the frameworks and projections from four global transportation models with considerable technology details. We analyze and compare the modeling frameworks, underlying data, assumptions, intermediate parameters, and projections to identify the sources of divergence or consistency, as well as key knowledge gaps. We find that there are significant differences in the base-year data and key parameters for future projections, especially for developing countries. These include passenger and freight activity, mode shares, vehicle ownership rates, and energy consumption by mode, particularly for shipping, aviation and trucking. This may be due in part to a lack of previous efforts to do such consistency-checking and “bench-marking.” We find that the four models differ in terms of the relative roles of various mitigation strategies to achieve a 2 °C/450 ppm target: the economics-based integrated assessment models favor the use of low carbon fuels as the primary mitigation option followed by efficiency improvements, whereas transport-only and expert-based models favor efficiency improvements of vehicles followed by mode shifts. We offer recommendations for future modeling improvements focusing on (1) reducing data gaps; (2) translating the findings from this study into relevant policy implications such as gaps of current policy goals, additional policy targets needed, regional vs. global reductions; (3) modeling strata of demographic groups to improve understanding of vehicle ownership levels, travel behavior, and urban vs. rural considerations; and (4) conducting coordinated efforts in aligning historical data, and comparing input assumptions and results of policy analysis and modeling insights. 相似文献