美国面源型红外诱饵弹的发展分析

美国面源型红外诱饵弹在现代战争中发挥着越来越重要的作用。文章介绍了面源型红外诱饵弹的发展历程以及装备的研制、改进情况,指出了在现代战争中发展面源型红外诱饵弹的优势和重要性,重点探讨了几种面源型红外诱饵弹的性能及其特点,并论述了面源型红外诱饵弹的发展动向与分析。     

IGBT在两相斩波器中的应用

本文介绍了IGBT模块在两相斩波器上的应用。通过IGBT模块和GTR模块特性的比较分析,讨论了用IGBT模块设计两相两重斩波器的注意事项,试验结果证明了采用IGBT的设备在电流均衡等方面具有更加优越的性能。     

电机调速逆变电路保护措施浅析

本文介绍了电机调速逆变电路的保护措施。针对电机调速逆变电路中,常见的故障模式,通过对直流电路故障机理的分析,重点讨论了断路器、快速熔断器等保护器件的选择,保护电路的选择,绝缘保护及热保护的实现方法。     

基于LabVIEW的柴油机状态监测数据库系统

柴油机状态监测系统不可避免地要涉及到状态数据的存储与管理问题,利用LabVIEW作为开发平台,利用Access2003为系统数据库开发工具开发出了柴油机状态监测数据库系统,其主要功能包括：数据存储、数据库管理、数据回放。此系统既能够发充分发挥虚拟仪器技术的优势,又能利用数据库强大的功能,提高了柴油机状态监测水平。     

当前浮式平台船体结构分析的方法与重点综述(英文)

浮式平台概念的选择及其结构设计是深水工程项目的关键环节之一.它决定了平台在波浪载荷作用下的动力学响应、立管在深水条件下的运动以及进行平台建造与安装的技术难度等.结构强度、结构的抗疲劳性能以及结构的整体和局部稳定性能是浮式平台设计必须重点考虑的三个主要方面.总结了当前浮式平台设计的主要方法和它的主要任务以及技术要求,着重分析了设计过程中的主要技术难点及重点;最后,讨论了浮式平台结构设计的潜在发展趋势.     

基于NAPA的螺旋桨几何造型和图形生成方法研究

螺旋桨设计是船舶设计中重要的组成部分之一．基于船舶设计NAPA软件平台,使用NAPA自带的NAPA BASIC语言,利用坐标变换方法,根据螺旋桨桨叶的伸张轮廓和叶切面形状,得到了桨叶几何造型所需的三维坐标值,同时研究了桨叶二维图形的生成方法,从而有效地将船舶设计软件与螺旋桨的几何造型紧密结合起来,节省了大量的人力物力,提高了工作效率,推动了计算机技术在螺旋桨设计领域的应用,为船用螺旋桨的精确和高效绘图寻求了一条新途径．     

An analysis of bicycle route choice preferences in Texas,US

In the US, the rise in motorized vehicle travel has contributed to serious societal, environmental, economic, and public health problems. These problems have increased the interest in encouraging non-motorized modes of travel (walking and bicycling). The current study contributes toward this objective by identifying and evaluating the importance of attributes influencing bicyclists’ route choice preferences. Specifically, the paper examines a comprehensive set of attributes that influence bicycle route choice, including: (1) bicyclists’ characteristics, (2) on-street parking, (3) bicycle facility type and amenities, (4) roadway physical characteristics, (5) roadway functional characteristics, and (6) roadway operational characteristics. The data used in the analysis is drawn from a web-based stated preference survey of Texas bicyclists. The results of the study emphasize the importance of a comprehensive evaluation of both route-related attributes and bicyclists’ demographics in bicycle route choice decisions. The empirical results indicate that travel time (for commuters) and motorized traffic volume are the most important attributes in bicycle route choice. Other route attributes with a high impact include number of stop signs, red light, and cross-streets, speed limits, on-street parking characteristics, and whether there exists a continuous bicycle facility on the route.

A traffic analysis zone definition: a new methodology and algorithm

This paper develops a comprehensive approach to the definition of transportation analysis zones (TAZ), and therein, presents a new methodology and algorithm for the definition of TAZ embedded in geographic information systems software, improves the base algorithm with several local algorithms, and comprehensively analyses the obtained results. The results obtained are then compared to these presently used in the transportation analysis process of the Lisbon Metropolitan Area. The proposed algorithm presents a new methodology for TAZ design based on a smoothed density surface of geocoded travel demand data. The algorithm aims to minimise the loss of information when moving from a continuous representation of the origin and destination of each trip to their discrete representations through zones, and focuses on the trade-off between the statistical precision, geographical error, and the percentage of intra-zonal trips of the resulting OD matrix. The results for the Lisbon Metropolitan Area case study suggest a significant improvement in OD matrix estimates compared to current transportation analysis practises based on administrative units.

A copula-based joint multinomial discrete–continuous model of vehicle type choice and miles of travel

In this paper, a joint model of vehicle type choice and utilization is formulated and estimated on a data set of vehicles drawn from the 2000 San Francisco Bay Area Travel Survey. The joint discrete–continuous model system formulated in this study explicitly accounts for common unobserved factors that may affect the choice and utilization of a certain vehicle type (i.e., self-selection effects). A new copula-based methodology is adopted to facilitate model estimation without imposing restrictive distribution assumptions on the dependency structures between the errors in the discrete and continuous choice components. The copula-based methodology is found to provide statistically superior goodness-of-fit when compared with previous estimation approaches for joint discrete–continuous model systems. The model system, when applied to simulate the impacts of a doubling in fuel price, shows that individuals are more likely to shift vehicle type choices than vehicle usage patterns.

Traveled distance,stock and fuel efficiency of private vehicles in Canada: price elasticities and rebound effect

This paper presents estimates of the rebound effect and other elasticities for the Canadian light-duty vehicle fleet using panel data at the provincial level from 1990 to 2004. We estimate a simultaneous three-equation model of aggregate demand for vehicle kilometers traveled, vehicle stock and fuel efficiency. Price and income elasticities obtained are broadly consistent with those reported in the literature. Among other results, an increase in the fuel price of 10% would reduce driving by ~2% in the long term and by 1% the average fuel consumption rate. Estimates of the short- and long-term rebound effects are ~8 and 20%, respectively. We also find that an increase in the gross domestic product per capita of 10% would cause an increase in driving distance of 2–3% and an increase of up to 4% in vehicle stock per adult. In terms of policy implications, our results suggest that: (1) the effectiveness of new fuel efficiency standards will be somewhat mitigated by the rebound effect and (2) fuel price increases have limited impacts on gasoline demand.