钢-混凝土组合梁桥温度场与温度效应研究综述

组合结构桥梁由热工性能差异显著的钢材和混凝土构成,温度效应往往成为控制其设计和应用的关键因素,因此,对其温度场和温度效应进行准确地计算与评估具有重要的科研价值与工程意义。对组合结构桥梁温度场与温度效应开展了综述研究。首先,对各国桥梁规范温度荷载的规定进行归纳对比,讨论不同规范中温度荷载计算方法的特点,总结中国现有规范对全国气候划分的分辨率不足、对日照辐射的考虑不够完善等有待提升之处;其次,对国内外桥梁温度场与温度效应研究的发展与现状进行调研,重点分析中国钢-混凝土组合结构桥梁温度场与温度效应的研究进展,对现有研究的不足进行讨论;再次,提出基于可靠度理论的组合结构桥梁设计温度荷载模型,可使用气象部门统计的温度统计资料,通过MATLAB高效数值模型计算形成组合结构桥梁温度场时程数据,进一步利用极值模型获得桥梁设计的温度荷载代表值,快速、高效地实现对桥梁地理信息、结构参数等因素的考虑;最后,以北京地区典型3跨连续直线组合梁桥为算例,对连续钢-混凝土组合桥梁的温度效应展开研究。提出的基于可靠度理论与MATLAB的钢-混凝土组合结构桥梁设计温度荷载模型,可实现任意地区组合结构桥梁温度场的精确计算并显著提升计算效率。     

海水-冰晶两相流非等温流动及传热研究

船舶在冰区航行时,存在冰晶颗粒混合海水流入船舶冷却系统现象。基于颗粒动力学理论,建立适用于海水-冰晶两相流的欧拉-欧拉双流体模型,耦合相间传热传质模型对海水-冰晶两相流在水平直管内流动及传热特性数值模拟。研究表明,冰晶颗粒流动过程中,在管道上部位置R=8~10mm处冰晶体积分数达到最大值,且随着速度增加而增大;当入口含冰率(IPF)为4%时,冰晶速度的最大值出现在管道中心轴线上方。当入口速度为1.0~3.0 m·s-1,含冰率4%~30%时,局部传热系数随入口速度及含冰率增大而增加。     

轮胎路面接触应力分布仿真研究

根据11.00R20-16PR型全钢子午线轮胎实际结构,考虑轮胎材料、几何及接触非线性,利用ABAQUS有限元软件建立轮胎与刚性路面接触三维模型,并与轮胎径向刚度试验结果对比验证了该模型的有效性;分析了静止竖向荷载作用下胎压一定荷载不同和荷载一定胎压不同的轮胎路面接触应力及印迹分布变化。研究结果表明:轮胎与路面接触应力呈非均匀分布,且接触面积并非路面设计中所采用的圆形而更接近于矩形。     

Using GPS-data to determine optimum electric vehicle ranges: A Michigan case study

Fuel-switching personal transportation from gasoline to electricity offers many advantages, including lower noise, zero local air pollution, and petroleum-independence. But alleviations of greenhouse gas (GHG) emissions are more nuanced, due to many factors, including the car’s battery range. We use GPS-based trip data to determine use type-specific, GHG-optimized ranges. The dataset comprises 412 cars and 384,869 individual trips in Ann Arbor, Michigan, USA. We use previously developed algorithms to determine driver types, such as using the car to commute or not. Calibrating an existing life cycle GHG model to a forecast, low-carbon grid for Ann Arbor, we find that the optimum range varies not only with the drive train architecture (plugin-hybrid versus battery-only) and charging technology (fast versus slow) but also with the driver type. Across the 108 scenarios we investigated, the range that yields lowest GHG varies from 65 km (55+ year old drivers, ultrafast charging, plugin-hybrid) to 158 km (16–34 year old drivers, overnight charging, battery-only). The optimum GHG reduction that electric cars offer – here conservatively measured versus gasoline-only hybrid cars – is fairly stable, between 29% (16–34 year old drivers, overnight charging, battery-only) and 46% (commuters, ultrafast charging, plugin-hybrid). The electrification of total distances is between 66% and 86%. However, if cars do not have the optimum range, these metrics drop substantially. We conclude that matching the range to drivers’ typical trip distances, charging technology, and drivetrain is a crucial pre-requisite for electric vehicles to achieve their highest potential to reduce GHG emissions in personal transportation.     

An adaptive information fusion model to predict the short-term link travel time distribution in dynamic traffic networks

As intelligent transportation systems (ITS) approach the realm of widespread deployment, there is an increasing need to robustly capture the variability of link travel time in real-time to generate reliable predictions of real-time traffic conditions. This study proposes an adaptive information fusion model to predict the short-term link travel time distribution by iteratively combining past information on link travel time on the current day with the real-time link travel time information available at discrete time points. The past link travel time information is represented as a discrete distribution. The real-time link travel time is represented as a range, and is characterized using information quality in terms of information accuracy and time delay. A nonlinear programming formulation is used to specify the adaptive information fusion model to update the short-term link travel time distribution by focusing on information quality. The model adapts good information by weighing it higher while shielding the effects of bad information by reducing its weight. Numerical experiments suggest that the proposed model adequately represents the short-term link travel time distribution in terms of accuracy and robustness, while ensuring consistency with ambient traffic flow conditions. Further, they illustrate that the mean of a representative short-term travel time distribution is not necessarily a good tracking indicator of the actual (ground truth) time-dependent travel time on that link. Parametric sensitivity analysis illustrates that information accuracy significantly influences the model, and dominates the effects of time delay and the consistency constraint parameter. The proposed information fusion model bridges key methodological gaps in the ITS deployment context related to information fusion and the need for short-term travel time distributions.     

Daily activity and travel sequences of students,faculty and staff at a large Canadian university

This paper examines the activity engagement, sequencing and timing of activities for student, faculty and staff commuter groups at the largest university in the Maritime Provinces of Canada. The daily activity patterns of all university community groups are modeled using the classification and regression tree classifier algorithm. The data used for this study are derived from the Environmentally Aware Travel Diary Survey (EnACT) conducted in spring 2016 at Dalhousie University, Nova Scotia. Results show that there are significant differences in activity and travel behavior between university population segments and the general population in the region, and between campus groups. For example, students participate in more recreation activities compared to faculty and staff. They also take more trips to and from campus, and are more flexible in their scheduling of trips. The insights gained from this study will provide helpful information for promoting sustainability across university campuses, and for development of campus-based travel demand management strategies.     

船舶烧伤病房气流组织分析与优化

针对舰船舱室气流组织的形式特点,以烧伤病房作为研究对象建立数学模型,通过使用Airpak软件对烧伤病房不同设计方案下的气流组织进行了计算仿真,通过舱室温湿度,空气流速,热舒适指标等参数的对比,获得舱室的压力、温度、速度、热舒适性指标等的分布特性,对烧伤病房气流组织进行了分析并提出了优化方法,可以有效提高人员的舒适性和气流组织效果。     

小郭巨渔港工程防波堤平面布置方案

波浪是渔港建设中最重要的水动力因素,由于外海风浪作用强烈,影响港内渔船泊稳,需修建防波堤挡潮抗浪。从波浪角度研究防波堤平面布置,首先分析了舟山市六横岛小郭巨渔港工程的建设条件,确定防浪掩护控制标准,并提出防波堤直线形、折线形布置的8个平面布置方案。以满足渔船有效泊稳面积为准,采用MIKE21 BW模块计算在50 a一遇波浪与水位组合条件下堤后波高分布及防浪掩护效果,对8个方案进行研究,基于其中相对较优方案,进行了2个方案的优化。最终确定某渔港防波堤平面布置最优方案为:防波堤总长350 m、折堤夹角132°、直线段长122 m、折线段长228 m。     

汛期落成洲整治建筑物对船舶锚泊安全的影响

随着落成洲整治建筑物的建成,该区域内的流场将发生一定的变化,对船舶的航行及锚泊造成一定的影响,利用计算流体力学软件,数值模拟整治建筑物建成前后该区域内的流场变化情况。结果表明:整治建筑物的建成将有效地防止水流对落成洲的冲刷作用,航道水流更加稳定;但是,落成洲左汊下游镇江危险品锚地所在区域内的流速将明显提高,不利于锚泊安全,尤其是汛期。因此,应加强对该区域的监测和管理。     

重载情况下船舶及主机加速问题分析

针对目前一些船舶在恶劣海况下遇到的加速问题,以及通过转速禁区时间过长的问题,从螺旋桨匹配和主机内部设计两方面进行原因分析。围绕转速禁区功率裕度,结合相关案例,从轻螺旋桨裕度、转速禁区及MAN主机输出扭矩能力等方面入手,提出改进措施。