船闸闸室结构的船-墙碰撞三维有限元分析

以江苏某重力式船闸闸室结构为例,采用ABAQUS软件建立船舶-闸室结构-土体三维有限元模型,对船舶撞击闸室进行瞬态动力分析,得到不同工况下的撞击力时程曲线和撞击力值等结果。研究结果表明:船舶撞击闸室的法向平均撞击力大小与船舶排水量的12次方、撞击速度的1次方、撞击角度的1次方成线性关系;将软件模拟的船舶法向撞击力数值与依据JTJ 307—2001《船闸水工建筑物设计规范》得到的计算值比较,发现规范公式得到的数值普遍偏小,低估了过闸船舶撞击力的影响。     

下穿公路隧道大管棚施工地表沉降研究

在采用管棚支护的隧道施工中地表沉降主要由管棚施工地表沉降和隧道开挖地表沉降组成。文章结合厦门高崎下穿公路隧道的工程实际,运用现场量测和理论分析的手段,对大管棚施工引起的地表沉降规律进行了研究;现场监测数据也证明,通过公式计算能有效地预测大管棚施工引起的地表沉降,其计算分析结果具有一定的实用价值。     

城市交通系统通行性影响因素及计算理论

文章分析了震后城市交通系统通行性的影响因素,提出了包含路段单元通行概率、路段连通概率及路网连通概率的城市交通系统通行性计算理论,为城市路网的连通可靠性评价提供参考。     

浅埋暗挖地铁隧道施工监测方法

文章以重庆市地铁一号线大坪车站临时施工便道为例,对在浅埋、软岩条件下既有隧道拆除采用工字钢支顶、风镐破岩,新建隧道采用台阶法环形开挖预留核心土、人工非爆破开挖的施工方法,通过现场监控量测,得出最大地表沉降仅为3.82mm,表明采用合理的施工方法可以减少地表沉降。     

路基压实质量的影响因素分析

针对公路路基压实质量在公路施工中的重要性,结合已有的工程施工情况,总结出在路基压实中应注意的问题,并从筑路材料、压实设备、压实工艺等方面进行了分析和讨论。     

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.     

Development and evaluation of a statistically reliable traffic counting program

This paper reviews the existing procedures to compute the seasonal factors, growth factors, and the number of automatic traffic recorder stations (ATRs) for developing a statistically reliable traffic counting program. The review is based on, (i) theoretical evaluation of the procedures, (ii) analysis of the results obtained from applying these procedures to extensive real life data, and (iii) experience of past researchers with these methods. The paper primarily deals with existing statistical procedures for determining seasonal factors, since it is believed that these factors play the most important role in estimating Annual Average Daily Traffic (AADTs) from short counts. The procedure of cluster analysis (which is most commonly used to determine seasonal factors) is critically reviewed. The shortcomings of this method motivated the development of a different statistical procedure, based on regression analysis, to determine seasonal factors. It is shown that this newly developed method gives better results than the cluster analysis techniques. Furthermore, separate sections are dedicated to a thorough analysis of determination of number of ATR stations and computation of growth factors.     

公路建设项目中降雨因子对土壤流失量的影响分析

降雨因子对水土流失量起着决定性的作用。通过在汉十高速公路上设置实验小区，用径流小区法进行了水土流失监测，并根据数理统计原理，对水土流失量及降雨量的数据进行分析，建立回归方程，研究了降雨因子与水土流失量之间的关系，并对其结果从溅蚀和径流冲刷两个方面进行了理论分析。     

预抛高法处理桥头跳车问题

分析了桥头跳车的原因．介绍了解决这一问题的主要方法．深入探讨了预抛高法处理桥头跳车措施的原理．提出其抛高量的估算是该法的关键。