Tradeoffs among free-flow speed, capacity, cost, and environmental footprint in highway design

This paper investigates differentiated design standards as a source of capacity additions that are more affordable and have smaller aesthetic and environmental impacts than modern expressways. We consider several tradeoffs, including narrow versus wide lanes and shoulders on an expressway of a given total width, and high-speed expressway versus lower-speed arterial. We quantify the situations in which off-peak traffic is sufficiently great to make it worthwhile to spend more on construction, or to give up some capacity, in order to provide very high off-peak speeds even if peak speeds are limited by congestion. We also consider the implications of differing accident rates. The results support expanding the range of highway designs that are considered when adding capacity to ameliorate urban road congestion.     

国产长输管道焊接施工装备研究

近年来,长输油气管道焊接施工装备技术快速发展,大量新型管道施工装备投入管道工程现场应用,比如管道全位置自动焊机、管道管端坡口机、管道内环缝自动焊机已被分别用于管口焊接、坡口加工、管口组对。在大厚壁、高钢级、大口径管道施工中,这些设备既提高了管道施工效率,也提高了管口的焊接质量。根据实际应用情况,阐述了前述设备的结构、性能和其他技术特点,以使相关技术人员对国产管道施工装备有进一步的认识。     

高含水集输管道内腐蚀预测与检测技术及应用

高含水油气管道内腐蚀穿孔频发,严重影响生产和环境。因此,油气管道内腐蚀的预测与检测是亟待解决的问题。常规检测耗资大,且效果差,结合美国腐蚀工程师协会内腐蚀直接评价标准和流体数值仿真技术(CFD)预测管道内腐蚀模型并与现场管道高程数据相结合,实现对高含水油气管线积水与易发内腐蚀位置的预测,针对该位置开展管体腐蚀检测,该方法在现场得到成功应用。通过现场检测数据来验证和修正预测模型,为解决高含水油气管道内腐蚀提供一种方法。     

秦岭天台山大断面高速公路隧道降尘除尘方案研究

为解决由于隧道施工断面大、在开挖过程中产生的粉尘难以通过施工通风排除的问题,对秦岭天台山隧道（双向6车道）施工过程中钻孔、爆破、出渣、喷浆等不同工况下的隧道粉尘质量浓度进行现场实测,并根据现场实测结果,对隧道内各工况施工粉尘分布特性进行数值模拟研究,提出适合于大断面隧道施工的粉尘控制措施。现场测试结果表明,出渣和喷浆工况下,粉尘质量浓度超过规范要求数倍。通过数值模拟得到： 1）靠近掌子面40 m区域内粉尘质量浓度不稳定,下降趋势不明显; 2）在布置风管时,风管末段至掌子面距离建议取为60~80 m,以保证新鲜风以较大的喷射面抵达掌子面; 3）建议采用附壁风筒降尘+车载除尘方案,除尘效率达95%,能有效处理隧道各区域粉尘,且对施工造成的影响小。     

盾构隧道管片接头嵌入式密封垫防水性能探究

为解决传统密封垫易于与混凝土管片胶结处发生渗漏水的问题,对新型嵌入式密封垫的防水性能进行研究。与传统的现场粘贴防水橡胶密封垫的工艺不同,嵌入式密封垫是将密封垫与混凝土管片整浇预制。采用模型试验和有限元数值模拟方法,对隧道接头中嵌入式密封垫的防水能力进行分析和论述。研究结果表明： 文中所涉截面形式的嵌入式密封垫在控制工况,即张开量7 mm、错缝量10 mm的情况下,满足上海深层排水调蓄隧道0.6 MPa的耐水压力要求,且弥补了传统密封垫易从密封垫与混凝土接触面渗漏水的缺陷。此外,通过在密封条两侧设置凹槽,可有效减小密封垫脚部与混凝土间接触应力,减少局部应力集中,保证混凝土管片的完整性,提高接头防水能力。     

圭嘎拉高海拔隧道施工人员体力劳动强度评价

为探究圭嘎拉高海拔隧道施工人员体力劳动强度水平,评价施工工序劳动强度,选择圭嘎拉隧道进口段（海拔4 300 m）及1#斜井段（海拔4 560 m）的施工人员作为测试对象,分别测量不同工序下施工人员的生理指标（心率、血氧饱和度、耗氧量）。基于耗氧量计算能量代谢率,进而计算各工序的劳动强度指数。结果表明： 1）260 m的海拔高差造成的施工综合劳动强度指数差异具有统计学意义（P<0.05）; 2）二次衬砌钢筋绑扎是所测施工工序中劳动强度最大的工序,该工序下施工人员的心率、血氧饱和度和平均能量代谢率都出现超过卫生限值的情况,劳动强度指数达到35（极重）; 3）海拔为4 300~4 560 m时,隧道各施工工序劳动强度大部分为中度-极重度。     

Employability skills of maritime business graduates: industry perspectives

The maritime industry underpins international business and world trade. As to be expected, business management is critical for the maritime industry, requiring highly trained individuals and teams to lead the development, implementation and control of sound contemporary management practices. Maritime business degrees are developed by universities to meet such demand by providing graduates with sufficient skills for the onshore business-related roles. This empirical study conducted in Australia, USA and Canada, investigates current and future industry employability skills for maritime business graduates through focus groups, individual interviews and an online survey with senior managers in maritime organisations. This study found the important employability skills for maritime business graduates which include communication, problem solving, adaptability, self-management, team work, and digital literacy and technology. Demand for digital literacy and technology knowledge and skills have increased due to the maritime industry having a trend of moving towards digitalisation and automation. However, the survey findings revealed that a skills focus for maritime business graduates will not be the technology itself but the use and management of technology. In relation to future skills/knowledge required from maritime business degree graduates in 10 years’ time, communication and adaptability are recognised as being the most important. Employers expect that maritime business graduates should be able to adopt new technology and be competent in communication, and be more adaptable given the highly dynamic nature of the maritime industry. Moreover, they require graduates to be equipped with a higher level of computer skills, have a strong work ethic and multilingual skills.     

A mixed Bayesian network for two-dimensional decision modeling of departure time and mode choice

The modeling of travel decision making has been a popular topic in transportation planning. Previous studies focused on random-utility discrete choice models and machine learning methods. This paper proposes a new modeling approach that utilizes a mixed Bayesian network (BN) for travel decision inference. The authors use a predetermined BN structure and calculate priori and posterior probability distributions of the decision alternatives based on the observed explanatory variables. As a “utility-free” decision inference method, the BN model releases the linear structure in the utility function but assumes the traffic level of service variables follow multivariate Gaussian distribution conditional on the choice variable. A real-world case study is conducted by using the regional travel survey data for a two-dimensional decision modeling of both departure time choice and travel mode choice. The results indicate that a two-dimensional mixed BN provides better accuracy than decision tree models and nested logit models. In addition, one can derive continuous elasticity with respect to each continuous explanatory variable for sensitivity analysis. This new approach addresses a research gap in probabilistic travel decision making modeling as well as two-dimensional travel decision modeling.     

Sustainability and interactivity between cities and ports: a two-stage data envelopment analysis (DEA) approach

Ports and cities are intrinsically linked. Port city, which serves as a link between the local and global economy, is an integration of both urban and port systems. Constrained by different regional structures, port cities have developed various formulations over time. Using a two-stage data envelopment analysis (DEA) approach, this paper proposes a new method for measuring the sustainable development of different port city systems. While the previous empirical studies often separate the port system and the urban system, this paper assesses the two systems in an integrated way. Moreover, this paper develops a systematic methodology for measurement of sustainability. Twenty world-leading container port cities are selected for this study using contemporary data. The DEA results display their relative differences in levels of sustainable development, which reveal the effectiveness of the prevailing policies in them. Eventually, recommendations are drawn for other port cities by referring to the best practices.     

面向智能船舶的容错卡尔曼融合估计方法

针对智能船舶多传感器系统因未知海洋环境干扰和设备间干扰等因素导致的一个或数个传感器产生随机间歇性故障从而导致融合估计结果出现偏差甚至失真的问题,设计1种基于四分位滤波的容错方法,并针对该方法导致的观测时滞问题设计1种预报方法,提前预报观测值,进而抵消容错方法导致的时滞问题。此外,针对多传感器之间的互协方差难以准确估计的问题,采用CI融合估计方法进行融合估计。为验证算法的有效性和融合估计的精度,对带有间歇性故障的两传感器系统进行仿真试验,并与按矩阵、按对角阵和按标量3种分布式融合估计方法得到的结果进行对比。4种方法的均方误差系数大小对比结果显示,对于带间歇性故障的多传感器系统,设计的融合滤波不仅具有鲁棒性,而且具有较高的融合精度。