现代汽车电子技术及其在仪表中的应用

主要讨论汽车电子技术发展的简要历程,现代汽车电子技术的一些应用领域及已有成效,在此基础上介绍汽车智能仪表的开发流程及其应用关键。     

非等桩径荤素桩组合咬合桩受力计算模型研究

针对咬合桩等效成地下连续墙的理论计算模型中的不足,本研究考虑钻孔咬合桩中荤素桩之间桩径相对大小的影响及素混凝土桩的刚度折减效应,推导出修正后的等效刚度的咬合桩受力与形变理论计算模型.依托深圳市城市轨道交通12号线太子湾站主体围护结构咬合桩工程,采用Midas/GTS NX有限元软件建立了数值模拟,分析了基坑开挖全过程围...     

抛填石层超深基坑咬合桩结构参数优化研究

钻孔咬合桩围护结构对抛填石层的超深基坑施工至关重要,其合理的结构参数选定是咬合桩结构设计的关键.依托深圳地铁12号线太子湾站钻孔咬合桩工程,采用Midas/GTS有限元数值模型,模拟基坑开挖过程中围护桩的受力形变规律,并与现场实际效果进行了相互验证,研究了荤素桩桩径比、咬合量及刚度比对结构位移和弯矩的影响效应.研究结果...     

无支架缆索吊装锚碇锚索施工技术研究

介绍落布溪大桥钢管拱肋劲性骨架的无支架缆索吊主锚碇锚索施工技术。     

轿车与6岁儿童行人不同方位碰撞中下肢损伤分析

Euro NCAP发布的行人模型认证技术公告TB024的最新版本对6岁儿童行人模型认证提出了单独要求,旨在加强对儿童行人的保护.本研究应用符合Euro NCAP技术公告(TB024)规定并且具有详细解剖学结构的6岁儿童行人有限元模型,设置了4组不同方位行人-汽车碰撞仿真试验,以探究不同碰撞方位下的儿童下肢损伤机理.结果...     

基于深度学习的智能车辆视觉里程计技术发展综述

针对基于模型的视觉里程计在光照条件恶劣的情况下存在鲁棒性差、回环检测准确率低、动态场景中精度不够、无法对场景进行语义理解等问题,利用深度学习可以弥补其不足。首先,简略介绍了基于模型的里程计的研究现状,然后对比了常用的智能车数据集,将基于深度学习的视觉里程计分为有监督学习、无监督学习和模型法与深度学习结合3种,从网络结构、输入和输出特征、鲁棒性等方面进行分析,最后,讨论了基于深度学习的智能车辆视觉里程计研究热点,从视觉里程计在动态场景的鲁棒性优化、多传感器融合、场景语义分割3个方面对智能车辆视觉里程计技术的发展趋势进行了展望。     

焊前预处理对AlSi10MgMn真空压铸件与铝型材MIG焊接气孔的影响

AlSi10MgMn真空压铸铝合金在MIG焊接存在气孔,其连接方式的选择一定程度上受限,通过对Al?Si10MgMn真空压铸铝合金和型材件进行焊前预处理(氧化皮打磨、酒精清洗、预热处理)后进行MIG焊接,分析了该方案对于焊接气孔的改善效果,结果发现焊前预处理对AlSi10MgMn真空压铸铝合金和型材件MIG焊接气孔改善效果明显,焊缝接头剖面平均气孔率由1.14%降低为0.73%,同时发现焊缝接头剖面中心区域显微硬度值最高,接头强度为180 MPa,接头效率为75%,焊前预处理对显微硬度和接头强度基本无影响。     

溶岩地区桩基础施工技术问题的探讨

石灰岩地区地质情况较复杂,对桥梁的基础施工带来困难和不利影响。介绍花清高速公路高架桥在石灰岩溶岩地区的桩基础施工技术。     

Analysis of factors that may be essential in the decision to fly on fully autonomous passenger airliners

This research investigates factors that influence opinion in the decision to fly on fully autonomous passenger airliners primarily from the perspective of aviation and technology professionals. Bayesian statistical inference and a two‐level fractional factorial survey are used to sample passengers' views on fully autonomous airliners. Eight trust, safety, and cost factors are incorporated into a vignette set in the future. Factors include automation levels, safety records, liability guarantees, airline integrity, and service disruptions. Dependent variables exist in five post‐vignette questions and essentially ask “Would you” or “Would you not” be willing to fly on a fully autonomous airliner? Sixteen versions of the vignette, each with unique trust, safety, and cost levels, present varying (unknown) degrees of influence to the survey respondents. For every demographic, the research shows a 99% statistically significant difference between the “prior” and “posterior” sampled population proportions willing to fly. The most significant positive influence involves integrity characteristics of the airline, while the most negative influence relates to life insurance liability guarantees. Research from 2003 suggested that this mode of travel would be acceptable to only 10.5% of respondents. When the 2003 research is used as a Bayesian prior probability, the resulting posterior probability for the demographics sampled can be modeled as a beta distribution, indicating 95% probability that the sampled proportion of the population willing to fly is between 33.2% and 36.4%. After adjusting for age and profession demographics to match the US population, the 95% probability bounds on the proportion willing to fly are 31.35% and 34.15%. Copyright © 2015 John Wiley & Sons, Ltd.     

The planning and analysis of a new group rapid transit system: the SkyCabs monobeam system in Auckland

This paper examines a case study of the SkyCabs system as a way to alleviate some of the traffic problems of Auckland, New Zealand. SkyCabs is an elevated two-way monobeam carrying light eight-seater cabs on tracks on each side of the beam, available on demand, providing fast, pollution-free, unimpeded travel above the footpath with panoramic views of the city. The aim of this study is to investigate the attractiveness of implementing the SkyCabs system to and from Auckland central business district (CBD) and Auckland international airport by examining four variables: different routes, different number of stops/stations, different passenger demand levels, and different number of cabs in the system. The analysis utilizes geographical information system and simulation tools for the various scenarios considered. The results show that it is possible to assess the cost–benefit of alternative routes in terms of those four variables and rate of return on investment.