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81.
This paper concerns the development of a new decision support framework for the appraisal of transport infrastructure projects. In such appraisals there will often be a need for including both conventional transport impacts as well as criteria of a more strategic and/or sustainable character. The proposed framework is based on the use of cost-benefit analysis featuring feasibility risk assessment in combination with multi-criteria decision analysis and is supported by the concept of decision conferencing. The framework is applied for a transport related case study dealing with the complex decision problem of determining the most attractive alternative for a new fixed link between Denmark and Sweden – the so-called HH-connection. Applying the framework to the case study made it possible to address the decision problem from an economic, a strategic, and a sustainable point of view simultaneously. The outcome of the case study demonstrates the decision making framework as a valuable decision support system (DSS), and it is concluded that appraisals of transport projects can be effectively supported by the use of the DSS. Finally, perspectives of the future modelling work are given. 相似文献
82.
阐述了船坞超高型管柱支撑的设计。提出了船坞区域搭载时管子支撑与外板3种连接形式下的支撑设计允许承载力的理论计算,并对目前船坞使用的φ426mm×14mm和φ500mm×18mm两种管子进行计算分析。改进了撑管的底部支撑,提高了超高型管子支撑的使用效果和安全性。 相似文献
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Short-term forecasting of high-speed rail (HSR) passenger flow provides daily ridership estimates that account for day-to-day demand variations in the near future (e.g., next week, next month). It is one of the most critical tasks in high-speed passenger rail planning, operational decision-making and dynamic operation adjustment. An accurate short-term HSR demand prediction provides a basis for effective rail revenue management. In this paper, a hybrid short-term demand forecasting approach is developed by combining the ensemble empirical mode decomposition (EEMD) and grey support vector machine (GSVM) models. There are three steps in this hybrid forecasting approach: (i) decompose short-term passenger flow data with noises into a number of intrinsic mode functions (IMFs) and a trend term; (ii) predict each IMF using GSVM calibrated by the particle swarm optimization (PSO); (iii) reconstruct the refined IMF components to produce the final predicted daily HSR passenger flow, where the PSO is also applied to achieve the optimal refactoring combination. This innovative hybrid approach is demonstrated with three typical origin–destination pairs along the Wuhan-Guangzhou HSR in China. Mean absolute percentage errors of the EEMD-GSVM predictions using testing sets are 6.7%, 5.1% and 6.5%, respectively, which are much lower than those of two existing forecasting approaches (support vector machine and autoregressive integrated moving average). Application results indicate that the proposed hybrid forecasting approach performs well in terms of prediction accuracy and is especially suitable for short-term HSR passenger flow forecasting. 相似文献
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在分析现有齿轮箱故障诊断方法的基础上,提出了采用多分类器支持向量机齿轮箱故障智能诊断方法,简介了该方法的系统结构、实现原理、特征提取与故障类别,重点讨论了齿轮箱故障多分类器支持向量机智能诊断模型与算法。仿真试验结果说明了采用多分类器支持向量机智能方法进行齿轮箱故障智能诊断的可行性与正确性。 相似文献
87.
一种适用于大变形支护的新型可伸长锚杆 总被引:3,自引:0,他引:3
支护理论的发展对锚固技术提出了新的要求,即要与围岩变形相协调,允许围岩可控变形,充分发挥围岩的自支撑能力。基于此设计了一种适用于大变形支护的新型可伸长锚杆,该型锚杆在达到初始锚固力后,在保持与围岩协调变形的伸长过程中锚固力可基本保持恒定,达到围岩许用变形形值后,锚固力急速上升。室内与现场试验证实了新型可伸长锚杆协调围岩大变形的优良性能,可在围岩大变形支护中推广应用。可伸长。 相似文献
88.
基于粘弹塑性理论的沥青路面车辙分析 总被引:2,自引:3,他引:2
应用粘弹塑性理论,研究了沥青混合料一维粘弹塑性本构关系,并运用ABAQU软件建立了柔性基层沥青路面车辙分析的有限元模型,研究了路面车辙的发展规律,经环道试验进行了验证。结果表明:荷载作用初期路面车辙发展较快,而后期车辙发展较慢;路面永久变形主要由绝对车辙引起,侧向隆起仅占15%~30%;随着沥青层厚度增加,车辙增加,但增加幅度逐渐减小;从表层开始沥青层的变形率随深度的增加而逐渐变大,在8 cm处变形率达到最大值,之后逐渐减小;沥青路面车辙主要产生在结构深度20 cm深度范围以内,尤其在4~12 cm之间。另外,进行了重载作用下的路面车辙模拟,对基于车辙等效的轴载换算进行了探讨,提出轴载换算系数为5.9。 相似文献
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90.