模拟海洋环境条件下碳纤维复合材料力学性能试验研究

本文主要进行了CFRP材料浸渍于碱溶液、浸渍于盐溶液及经人工老化后的力学性能试验。试验证实,上述几种长期环境条件作用对CFRP的极限强度影响不大,但能显著降低CFRP的极限延伸率,碱溶液浸渍、盐溶液浸渍显著降低了CFRP的弹性模量,而人工老化则几乎没什么影响。试验结果分析证明,应用于加固结构分析的CFRP的应力-应变关系,可应用线弹性关系。     

船舶舱室环境热舒适性控制新技术综述

船舶舱室环境热舒适性是影响船员身体健康和工作效率的重要影响因素,发展合适的舒适性控制新技术以创建良好的舱室环境热舒适性是船舶通风空调系统的主要任务.该文对船舶舱室环境热舒适性控制新技术进行总结和综述,对船舶舱室环境热舒适性控制新技术的发展具有一定的借鉴意义.     

浅谈如何提高施工中砼路面的抗折强度

抗折强度是反映水泥混凝土路面强度的主要指标,是衡量水泥混凝土路面质量的重要指标。也是水泥混凝土路面质量控制的难点所在。从水泥质量、骨料、配合比设计、施工、养生等方面对如何提高水泥混凝土路面抗折强度作简浅剖析,恳请各位同行指教。     

公路网规划环境影响评价中的不确定性分析

公路网规划环境影响评价中的不确定主要来自公路网规划方案的不确定和环境信息的不确定。具有普遍性、传递性、累积性和可降低性,对决策者存在着较大的干扰,但是可以通过使用基于情景分析的预测方法、广泛开展公众参与以及通过多方协作的方式开展环境影响评价工作等方法来降低。     

水上交通安全宏观分析

分析了水上交通安全和宏观因素的关系,指出了进行水上交通安全宏观定量分析的可行性和存在的问题,结合目前宏观水上交通安全分析和评价的研究现状,提出了可行的研究方向。     

影响企业家薪酬的关键因素分析

随着我国市场经济体制的建立和国有企业改革的深入,企业家逐渐代替政府官员成为经济的主导角色。体制的转型和变革使得原有的企业家激励约束机制呈现出种种弊端,对企业家激励约束机制的变革成为当前国有企业改革的重点之一。结合我国企业实际情况,系统地分析影响企业家薪酬的基本因素,从而为构建企业家报酬结构模型和确立企业家薪酬模式奠定基础。     

长江流域航运与水环境协调发展模型

为促进长江流域航运与水环境的协调发展,利用系统分析方法和系统动力学模型,建立了长江流域航运与水环境协调发展模型,对各种宏观调控政策和措施效应进行了仿真模拟分析。模拟结果表明,计算指标模拟值与实际值基本吻合,最大相对误差为12.9%,表明模型能较好地模拟长江流域航运与水环境协调发展系统;航运污染主要来源于船舶事故污染和船员生活污染,占总污染90%以上;人口、水环境、航运及工农业协调增长模式有助于水环境质量的持续改善;船舶事故应急管理水平的提高是航运污染治理的关键。     

软土地基钻孔灌注桩受力性状分析

通过对冲孔灌注桩和旋挖灌注桩桩顶、桩端沉降量静载试验资料及桩身应力应变测试资料的分析,得出桩身荷载传递机理及不同施工工艺在不同荷载水平下桩的受力性状差异.并就影响桩侧摩阻力的因素进行深入探讨.这一研究表明:桩周土的性质、桩土相对位移、桩端沉渣、成孔时间、护壁清孔方式及加载反力装置均会对单桩极限承载力产生重要影响.     

Critical success factors of supply chain integration in container shipping: an application of resource-based view theory

ABSTRACT

The container shipping industry is receiving growing attention in driving the performance of global supply chains. This phenomenon has accelerated supply chain integration (SCI) within the industry. Although SCI could offer numerous benefits, it is often quoted to be implemented easier in theory than in practice. The high failure rate that is associated with SCI is often not addressed in the literature. Grounded on resource-based view (RBV) theory, this paper is aimed at identifying the critical success factors (CSFs) and examining their influence on SCI and supply chain performance (SCP). Survey questionnaires were administered on 164 container shipping firms. The constructs were validated empirically using confirmatory factor analysis and were subsequently analysed using structural equation modelling. The proposed CSFs in this study are found to be positively corelated with SCI, which, in turn, is positively correlated with SCP. This paper has contributed to both theory and practice by applying RBV theory to identify the key resources and capabilities that are necessary for SCI in the container shipping industry.     

Incorporating human-factors in car-following models: A review of recent developments and research needs

Over the past decades there has been a considerable development in the modeling of car-following (CF) behavior as a result of research undertaken by both traffic engineers and traffic psychologists. While traffic engineers seek to understand the behavior of a traffic stream, traffic psychologists seek to describe the human abilities and errors involved in the driving process. This paper provides a comprehensive review of these two research streams.It is necessary to consider human-factors in CF modeling for a more realistic representation of CF behavior in complex driving situations (for example, in traffic breakdowns, crash-prone situations, and adverse weather conditions) to improve traffic safety and to better understand widely-reported puzzling traffic flow phenomena, such as capacity drop, stop-and-go oscillations, and traffic hysteresis. While there are some excellent reviews of CF models available in the literature, none of these specifically focuses on the human factors in these models.This paper addresses this gap by reviewing the available literature with a specific focus on the latest advances in car-following models from both the engineering and human behavior points of view. In so doing, it analyses the benefits and limitations of various models and highlights future research needs in the area.