杭州狭长软土基坑支护侧移规律与解析预测方法研究

In order to reduce the influence of deep narrow foundation pit construction on adjacent properties in urban area in Hangzhou, the characteristics of the support wall lateral deflection are analyzed and the corresponding analytical prediction method is proposed. The support wall lateral deflections of the deep narrow foundation pits at Wenyi West Road, Qingchun Station, Qiutao Station, Xingtang Station and Qingnian Station in Hangzhou soft clay are monitored and compared with those of deep foundation pits in Zhejiang and deep narrow foundation pits in Shanghai, Taipei and Singapore. The results show that the maximum support wall lateral deflection of the foundation pit on Wenyi West Road, 0.20%He ~0.25%He, where He is the maximum excavation depth, is close to that in Shanghai(0.15%He~0.41% He), but is smaller than those in Zhejiang, Taipei and Singapore(0.27% He~0.62% He); which is related to the high tangential modulus of Hangzhou soil and small width of the foundation pit. The support wall lateral deflection of the narrow deep foundation pits in Hangzhou can be precisely predicted based on the representative stress strain relationship at site and the modified mobilisable strength design (MMSD) method.     

道路阻抗函数研究综述

道路阻抗是交通分配和路网规划中的重要参数,是路网属性抽象的重要内容之一。为给道路阻抗函数研究提供新思路和新方法,更好服务于交通分配和路网规划,针对路阻函数的研究背景及现实意义,从路阻函数研究方法和影响因素两方面综合对比分析各种路阻函数模型的优缺点,分析得出既有研究多以美国联邦公路局（Bureau of Public Roads, BPR）函数为基础,针对BPR函数本身缺陷进行优化,或加入其他影响路阻的因素进行优化。在此基础上,总结得出目前路阻函数研究中存在不重视数据采集、函数内参数不可靠、函数适应性不强等问题。最后,对未来研究方向进行了展望,未来可应用车联网、自动驾驶等前沿技术采集数据,应用大数据和人工智能算法提高参数可靠度,提出适用于自动驾驶的路阻函数,制定路阻函数适应性标准,扩大路阻函数应用范围。     

考虑汽车共享服务的出行方式选择影响因素研究

为了分析汽车共享服务对城市出行者出行方式选择行为的影响,基于随机效用理论,运用行为调查和意向调查数据,以汽车共享服务、出租车、地铁三种出行方式作为选择肢,构建多项Logit模型,并应用SPSS软件对模型进行拟合检验与参数估计。研究表明：性别、年龄、最常使用交通工具、日常通勤单程距离、出行距离和汽车共享服务收费标准均会对出行者的汽车共享服务选择行为产生显著影响;中青年男性更倾向于选择汽车共享服务出行,且随着出行距离的增加、汽车共享服务收费标准的降低,汽车共享服务被选择的概率会增大;相较于出租车,日常通勤单程距离为20~30km的出行者更倾向于选择汽车共享服务;相较于地铁,最常使用交通工具为私家车的出行者选择汽车共享服务的概率更大。因此,为提高汽车共享服务被选择概率,应提高用户体验、服务水平,合理设置收费标准。     

地理信息系统在海运智能交通中的应用

智能交通系统（ITS）是当前交通领域研究的热点,更是未来交通发展的方向。本文提出了海运智能交通系统的概念,分析了系统功能和构成。从海运交通的特点出发,以ECDIS为基础,对智能交通系统的重要组成部分－海运交通地理信息系统的处理模型、关键技术和方向进行了分析探讨。     

航空货运多航段多阶段模型

在航空货运运力分配中需要解决两个问题:一是选择哪条航段来运输货物,二是在满足货物运输的前提下,选择哪个时期运输货物.本文使用数学规划方法建立了航空货运多航段多阶段模型,以解决航空货运运力分配中的两个问题.通过实例数值仿真,证明了该模型的有效性,并揭示了飞机的承载能力、航段的收益水平和货物的利润水平对舱位分配策略影响较大.     

醇类燃料均质压燃技术及其产业化展望

阐述了醇类燃料(甲醇,乙醇)均质压燃(HCCI)技术,通过试验得出了乙醇燃料的均质压燃运行区域,以及进气温度、过量空气系数和EGR率是HCCI技术应用的主要影响因素的结论。指出乙醇燃料均质压燃技术产品的产业化前景应该是双燃烧模式,介绍了将ZS1105柴油机进行改造并进行双燃烧模式试验的情况。     

基于电功率的HEV动力电池能量的监控方法

针对目前用于混合动力电动汽车动力电池能量管理的荷电状态法存在的“定义与结果难相一致”的问题,针对基于电功率的混合动力汽车动力电池能量的动态监控方法,建立了相应的数学模型,利用计算机仿真分析和实验来验证该方法的可行性和实用性。     

铁含量对AlSi10Mg(Cu)合金断屑性能影响的研究

为改善AlSi10Mg(Cu)五阀缸盖毛坯的切削加工性能,对合金中的Fe含量进行了分析、试验研究。试验结果表明,铁含量在0.45%～0.55%时,AlSi10Mg(Cu)五阀缸盖毛坯的综合性能和加工性能最为适宜;在保证合金成分要求的前提下,应尽可能地提高铁元素的含量,以提高合金的加工性能。     

Nonlinear Statistical Process Monitoring Based on Control Charts with Memory Effect and Kernel Independent Component Analysis

A novel nonlinear combination process monitoring method was proposed based on techniques with memory effect (multivariate exponentially weighted moving average (MEWMA)) and kernel independent component analysis (KICA). The method was developed for dealing with nonlinear issues and detecting small or moderate drifts in one or more process variables with autocorrelation. MEWMA charts use additional information from the past history of the process for keeping the memory effect of the process behavior trend. KICA is a recently developed statistical technique for revealing hidden, nonlinear statistically independent factors that underlie sets of measurements and it is a two-phase algorithm: whitened kernel principal component analysis (KPCA) plus independent component analysis (ICA). The application to the fluid catalytic cracking unit (FCCU) simulated process indicates that the proposed combined method based on MEWMA and KICA can effectively capture the nonlinear relationship and detect small drifts in process variables. Its performance significantly outperforms monitoring method based on ICA, MEWMA-ICA and KICA, especially for long-term performance deterioration.     

A New Arithmetic Coding System Combining Source Channel Coding and MAP Decoding

A new arithmetic coding system combining source channel coding and maximum a posteriori decoding were proposed. It combines source coding and error correction tasks into one unified process by introducing an adaptive forbidden symbol. The proposed system achieves fixed length code words by adaptively adjusting the probability of the forbidden symbol and adding tail digits of variable length. The corresponding improved MAP decoding metric was derived. The proposed system can improve the performance. Simulations were performed on AWGN channels with various noise levels by using both hard and soft decision with BPSK modulation.The results show its performance is slightly better than that of our adaptive arithmetic error correcting coding system using a forbidden symbol.