V形刚构桥施工中倒三角区域支架的拆除时机分析

采用桥梁博士软件模拟一座典型的V形墩连续刚构桥的施工过程,为找出支架拆除对传力途径的影响,分别单独计算结构自重、预应力以及收缩徐变内力,然后对单因素分析的结果进行组合。分析结果表明倒三角区域支架的拆除时机对桥梁在施工阶段及成桥后的内力均有显著影响,可达50%以上。建议优先采用早拆支架方案,以使结构受力明确,且对V形墩区域受力有利。     

特种弹药铁路运输可调式定位装置研究

概述了特种弹药铁路运输可调试定位装置的主要功能、技术要求、主要战技术指标，介绍了特种弹药铁路运输采用的从箱体顶部固定方式，并进行了相应的可调式定位装置研究，将装置分为整体固定和单点独立固定两种，用于固定弹箱在敞车内的位置，确保弹体运输安全。     

新能源公交车辆大数据决策支持平台的研究

新能源汽车具有能源利用效率高、环境污染小、适用清洁能源种类多、噪声低、方便保养、安全性高等优点,成为未来公共交通发展的重点方向。为了实现更高的信息化程度,为国内大型城市的新能源公交车辆的规模化应用提供便利,相关的信息化系统平台的建设非常重要。大数据技术为新能源公交车辆决策支持平台建立了数据分析与应用基础,该大数据决策支持平台能够存储、处理来自不同数据源的多维数据,利用联机分析处理实现多维度数据分析,运用数据挖掘技术利用新能源公交车辆信息,提供新能源车辆充电决策、充电场地建设决策、电池容量及衰退分析等功能。     

关于沥青混凝土路面的常见病害及防治措施

沥青混凝土路面主要应用于公路的面层,由于沥青混凝土材料本身的差异,以及受设计、施工水平的影响,沥青路面常常出现松散、脱皮、冻胀翻浆、水破坏、沉陷、开裂、泛油、坑槽等病害。这些病害的出现严重影响了路面行车速度、行车安全、加大了汽车磨损、缩短了沥青路面的使用寿命,使行车不畅,行成交通压力,造成道路使用年限缩短。本文具体结合工程项目阐述沥青混凝土的施工工艺、病害分析及防治措施。     

锌氧化银电池注液激活系统仿真模拟

利用ANSYS Fluent软件对锌氧化银一次电池注液激活系统进行模拟分析,在三种不同特性的点火器匹配注液激活系统条件下,模拟计算各个阀门能否正常开启、开启时间以及开启的顺序。分析计算得出各个阀门开启的时间,能够很好的指导注液系统设计。     

动力定位船舶全速度路径跟踪CB导引自适应闭环控制

针对仅使用槽道推进器提供横向推力的动力定位船舶路径跟踪控制问题,建立慢变环境干扰影响下的非线性船舶数学模型,设计带有自适应干扰补偿的反步控制算法来消除环境干扰的影响。引入平行目标接近(CB)导引算法为跟踪控制生成期望速度矢量信号,通过与所提出的自适应反步控制算法相结合,得到不受船舶驱动特性限制的全速度范围动力定位船舶导引跟踪控制算法,应用李雅普诺夫稳定性理论证明系统跟踪误差渐进收敛到零。仿真结果表明通过调整导引算法参数可以调节船舶跟踪过程表现,并可以得到较好的控制精度。     

Effect of interference fits on the fatigue lives of bolted composite joints

The effect of interference fits on the fatigue lives of bolted composite joints is investigated by conducting mechanical tests. Static and fatigue tests are carried out on specimens made of carbon-bismaleimide composites joined together as double-lap single-bolt joints. The bolts having interference fits ranging of 0 (neat fit), 0.5%, 0.75% and 1% are performed. The results demonstrate the relationship between fatigue life and different values of interference fits. After the fatigue tests, non-destructive evaluation (NDE) and scanning electron microscope (SEM) are used to observe the damage of the surrender and surface of the hole. The test results show that the interference fitted specimens have improved fatigue life compared to the neat fitted specimen. The NDE and SEM results reveal that the damage degree of interference fitted specimen is weaker than that for the neat fitted one.     

Two degree of freedom flow-induced vibration of cylindrical structures in marine environments: frequency ratio effects

The flow-induced vibration of a cylindrical structure is a very common problem in marine environments such as undersea pipelines, offshore risers, and cables. In this study, the vortex-induced vibration (VIV) of an elastically mounted cylinder at a low Reynolds number is simulated by a transient coupled fluid–structure interaction numerical model. Considering VIV with low damping ratio, the response, hydrodynamic forces, and vortex shedding modes of the cylinder is systematically analyzed and summed up the universal rule under different frequency ratios. On the basis of the analysis, we find that the frequency ratio α is a very important parameter. It decides the locked-in, beat, and phase-switch phenomena of the cylinder, meanwhile, it also influence the vortex mode of the cylinder. The trajectory of the two degrees of freedom (2 DOF) case at different natural frequency ratios is discussed, with most trajectories having a “figure of 8” shape and a few having a “crescent” shape. A fast Fourier transformation technique is used to obtain the frequency characteristics of the vibration of the cylindrical structure. Using the 2 DOF cylinder model in place of the 1 DOF model presents several advantages in simulating the nonlinear characteristics of cylindrical structures, including the capacity to model the crosswise vibration generated by in-line vibration.     

Isolating high-priority metro and feeder bus transfers using smart card data

Fixed-rail metro (or ‘subway’) infrastructure is generally unable to provide access to all parts of the city grid. Consequently, feeder bus lines are an integral component of urban mass transit systems. While passengers prefer a seamless transfer between these two distinct transportation services, each service’s operations are subject to a different set of factors that contribute to metro-bus transfer delay. Previous attempts to understand transfer delay were limited by the availability of tools to measure the time and cost associated with passengers’ transfer experience. This paper uses data from smart card systems, an emerging technology that automatically collects passenger trip data, to understand transfer delay. The primary objective of this study is to use smart card data to derive a reproducible methodology that isolates high priority transfer points between the metro system and its feeder-bus systems. The paper outlines a methodology to identify transfer transactions in the smart card dataset, estimate bus headways without the aid of geographic location information, estimate three components of the total transfer time (walking time, waiting time, and delay time), and isolate high-priority transfer pairs. The paper uses smart card data from Nanjing, China as a case study. The results isolate eight high priority metro-bus transfer pairs in the Nanjing metro system and finally, offers several targeted measures to improve transfer efficiency.     

Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam,Tanzania

The household travel survey (HTS) finds itself in the midst of rapid technological change. Traditional methods are increasingly being sidelined by digital devices and computational power—for tracking movements, automatically detecting modes and activities, facilitating data collection, etc.. Smartphones have recently emerged as the latest technological enhancement. FMS is a smartphone-based prompted-recall HTS platform, consisting of an app for sensor data collection, a backend for data processing and inference, and a user interface for verification of inferences (e.g., modes, activities, times, etc.). FMS, has been deployed in several cities of the global north, including Singapore. This paper assesses the first use of FMS in a city of the global south, Dar es Salaam. FMS in Dar was implemented over a 1-month period, among 581 adults chosen from 300 randomly selected households. Individuals were provided phones with data plans and the FMS app preloaded. Verification of the collected data occurred every 3 days, via a phone interview. The experiment reveals various social and technical challenges. Models of individual likelihood to participate suggest little bias. Several socioeconomic and demographic characteristics apparently do influence, however, the number of days fully verified per individual. Similar apparent biases emerge when predicting the likelihood of a given day being verified. Some risk of non-random, non-response is, thus, evident.