Evaluating the effects of green port policy: Case study of Kaohsiung harbor in Taiwan

The paper evaluates the effectiveness of strategies designed to reduce these pollutants in port areas, based on a newly developed assessment model to calculate emissions. The case study found that the strategy of reducing the ship’s speed to 12 knots is most effective in cutting fuel consumption and costs, as well as emissions. Adopting an onshore power supply system could reduce CO₂ emission by 57.16% and PM by 39.4%. By adopting the strategies of both reduced speed and cold ironing emissions control, a reduction in emissions of 71% to 91% can be achieved with a 20 nautical mile reduced speed zone. Therefore, the goals of reductions in emissions to improve port areas air quality could be achieved through adopting a green port policy in the future.     

Physical environments influencing bicyclists’ perception of comfort on separated and on-street bicycle facilities

This study investigates the impacts of physical environments on bicyclists’ perceptions of comfort on separated and on-street bicycle facilities. Based on a field investigation conducted in Nanjing, China, we find that physical environmental factors significantly influencing bicyclists’ perception of comfort on the two types of facility. Cyclists’ comfort is mainly influenced by the road geometry and surrounding conditions on physically separated paths while they pay attention to the effective riding space and traffic situations on on-street bicycle lanes.     

Modelling the impact of weather conditions on active transportation travel behaviour

Three weather sensitive models are used to explore the relationship between weather and home-based work trips within the City of Toronto, focusing on active modes of transportation. The data are restricted to non-captive commuters who have the option of selecting among five basic modes of auto driver, auto passenger, transit, bike and walk. Daily trip rates in various weather conditions are assessed. Overall, the results confirm that impact of weather on active modes of transportation is significant enough to deserve attention at the research, data collection and planning levels.     

兰渝线新龙凤隧道涌水分析

文章结合兰渝线新龙凤隧道发生的岩溶涌水突泥地质灾害问题,在对隧道地质环境及岩溶发育特征分析研究的基础上,从隧道所处地段的岩溶发育强度、岩溶水动力垂直及横向分带,以及大气降雨条件等方面分析了隧道涌水的原因,认为新龙风隧道发生的涌水是揭露中小型岩溶管道所致,涌水的主要控制因素为大气降雨.     

桃树坪隧道富水粉细砂地层挑高段设计方案优化

桃树坪隧道穿越富水粉细砂地层,施工难度很大,尤其是斜井进正洞的挑高段施工风险更高.通过对四种方案在施工工序、支护形式及体系转换等方面的比选,最后选择采用导洞爬高进入正洞双侧壁导洞高度进行导洞施工、后进行中间部分施工的设计方案,顺利完成了隧道施工.文章详细介绍了四种比选方案及方案实施效果.     

基于灰色理论的隧道围岩收敛预测

文章根据隧道围岩收敛监测信息,应用灰色系统原理和方法,建立了GM(1,1)模型并进行了预测。预测结果表明,灰色模型预测值与实测值吻合程度较好,能为隧道的动态设计和信息化施工提供决策依据。     

熊洞湾隧道出口平导涌水处理探讨

在熊洞湾隧道工程中,针对在平行导洞实施超前地质钻探时出现的涌水现象,通过采取地形地貌考察、TSP超前地质预报、红外探水、超前地质钻探以及水质检验等措施,最终确定了该出水点水源性质及处理方案.文章介绍了工程背景和地质特征,对涌水的原因,以及采取的处理方案和技术措施进行了分析研究.     

硅油型制动液的研究及应用进展

硅油型制动液性能优异,能显著延长制动液更换周期,减少车辆维护成本。本文综述了国外硅油型制动液的研制进展、产品组成、美军产品规范MIL-PRF-46176B和SAEJ1705标准,以及硅油型制动液在车辆上的应用情况。     

大跨悬索桥MTMD抖振控制的参数优化

针对悬索桥抖振控制问题,建立有限元模型,应用神经网络和遗传算法对多重调频质量阻尼器(MTMD)进行双参数优化。以某大跨悬索桥为例,利用神经网络改进的谐波合成模拟方法(RBF-WAWS法)对脉动风速进行模拟,并换算成抖振力作用主梁上,通过时程分析及后处理获取主跨跨中横桥向响应值。将响应值的均方差作为优化目标函数,以MTMD总质量、个数及阻尼比作为优化变量和约束条件,采用神经网络拟合目标函数并应用改进的自适应遗传算法进行寻优。结果表明,优化后的MTMD能有效控制悬索桥在脉动风作用下的抖振响应,减振率达48%。提出的理论与计算方法对悬索桥中MTMD的设置及参数选取具有实际工程意义。     

基于物理规律的气垫船气液介质仿真系统研究

针对全垫升气垫船气液介质复杂场景实时再现仿真需求,基于粒子系统原理和OSG渲染平台,考虑气垫船近场波浪高程模型、气垫船垫升系统压力及流量仿真模型以及气垫船气流场特点,提出了一种基于多模型的气垫船航行时气液介质特效仿真框架和实现方法。搭建了该技术的体系结构和实现流程,解决了不同开发环境下建立的异构模型仿真问题,并通过仿真模拟计算验证了该技术的可行性和正确性。仿真结果符合气垫船航行时的气液介质外形特征、作用范围以及气液介质产生的随机性和规律性特征,能快速逼真地实现气垫船航行时气液介质视景特效,对增强气垫船模拟训练效果具有重要的意义。