����ANP����������ѡַ�о�

比较了传统运输节点与物流中心的差异，指出物流中心选址重要性和独有特征．综合分析了当前一些文献对物流中心选址方法的研究，指出这些方法可能存在的不足．分析了AHP方法的扩展ANP应用于物流中心选址的优点，指出从物流中心选址的外部动态环境和内部决策条件出发可以更加全面分析物流中心选址涉及到的各种因素及其内部关系，提出采用ANP方法进行物流中心选址的影响因素结构及其分析方法、具体分析步骤和要点．     

一类有竞争的物流配送中心选址模型

对已有多个配送中心存在的前提出，新增配送中心为获取最大市场占有量如何进行有效的选址决策问题进行了研究，建立了一个选址决策模型，把求解的问题归结为无约束的非线性规划问题，并给出了迭代算法，最后对如何解决考虑多种选址影响因素及多个新增配送中心的复杂情况进行了讨论。     

非线性规划中的SQP法

本文对非线性规划中的SQP法作了探讨。在求解QP子问题时引入了对偶变换和LCP法并采用了乘积法和重新求逆等技术。据此编制的非线性规划软件在收敛速度、可靠性和精度等方面均有较好的性能。     

Integrated optimization of location and signal timings for midblock pedestrian crosswalk

Finding the optimal location and signal timing plan is one of the most critical operational issues for a signalized midblock crosswalk on an arterial section, which is increasingly being installed in highly populated areas in developing countries such as China. This paper presents a multiobjective optimization model and an efficient solution algorithm for a one‐ or two‐stage midblock crosswalk on an arterial section. The proposed model aims to produce the optimal location and corresponding signal settings to balance the trade‐off between pedestrian delays and vehicular bandwidth when the signals of the crosswalk and adjacent intersections are coordinated. The proposed model has three distinguishing features: (i) the costs for both pedestrians and vehicles are considered in a unified framework; (ii) the location and signal settings of the midblock crosswalk are simultaneously optimized; and (iii) a multiobjective optimization approach is developed to study the effectiveness of the midblock crosswalk under conditions in which the priorities between pedestrian and vehicle flows differ. A nondominated sorting genetic algorithm II (NSGA II)‐based algorithm is developed to solve the model efficiently. The results of the case study showed that the proposed model would help traffic practitioners, researchers, and authorities properly locate and signalize a one‐ or two‐stage midblock pedestrian crosswalk on an arterial section. Copyright © 2015 John Wiley & Sons, Ltd.     

高准确度扭矩标准机力臂系统设计

本文简要地介绍了一种高准确度扭矩标准机力臂系统的设计要点,重点说明了力臂长度设计所考虑的因素、力臂结构设计的原则,最后分析了力臂对整个装置不确定度的贡献。     

基于斜拉索张力测定的斜拉桥健康诊断

应用试验校正的高精度三维有限元模型,对斜拉桥主梁结构损伤位置识别的斜拉索张力指标进行了研究。模拟12种可能的损伤情况,研究了基于斜拉索局部模态基频构造索张力指标的方法,索张力指标对各损伤情况下损伤位置的识别效果和对损伤程度的敏感性。结果表明,用斜拉索局部模态基频所构造的张力指标对不同的损伤程度呈现较好的稳定性和灵敏性,对模拟的12种损伤情况的正确识别率可达75%。该方法的突出优点是只需测量斜拉索局部振动模态的基频,就能获得较好的损伤识别效果,比其他面向损伤检测的测量容易得多。该方法可十分方便地推广应用于悬索桥加劲梁结构的损伤定位,具有较高的实用价值。     

多期水深测量数据拟合处理及冲淤分析计算

从港口维护的实际情况出发 ,建立拟合计算的数学模型 ,对多期水深测量数据进行拟合处理和冲淤分析计算 ,同时编制了计算软件 ,并给出计算结果。     

明挖预制装配式隧道结构拼装精度控制标准研究与制定

明挖装配式隧道结构建造技术的研究和应用在我国尚属起步阶段,拼装精度控制标准是装配式结构建造过程中衡量和控制工程质量的重要尺度,标准的合理制定,关系到工程建设的安全可靠性、经济合理性及实际可操作性。通过拼装精度影响因素分析,提出了理论指标,并结合工程实际应用情况和实测值正态分布曲线的分析和提炼,给出了明挖装配式隧道结构拼装精度主要控制要素的控制标准,包括轴线平面定位偏差、高程定位偏差、构件形位姿态偏差、接缝张开量、结构表面错台量、同一环构件纵向错位量、前后环纵缝平面错位量等允许值,并与明挖现浇隧道、盾构隧道及装配整体式等结构的相关标准进行了对比分析。研究和实际工程应用证明：控制标准总体合理,可作为后续工程建设和相关标准制定的参考。构件制作精度对拼装精度的影响较大,提高构件制作精度,对提高拼装精度具有重要意义;自重压紧方式对控制隧道纵缝张开量最为有利,而控制张拉荷载、提高构件制作精度、控制施工累计误差等,可有效控制隧道环缝张开量;接头设置定位销棒并严格控制定位精度和预留空隙量,对控制结构表面错台量起到关键性作用。     

基于相位差变化率的机载无源定位研究

单站无源定位的核心难点是如何实现无源测距问题。利用目标角度和角度变化率信息对观测站和目标间的距离进行解算,通过定位误差的几何分布（GDOP）对单次定位的距离测量精度进行了仿真分析。由于观测器在运动过程中对固定辐射源目标进行无源测距的精度不高,用卡尔曼滤波对多次定位进行了滤波处理。通过单次和多次定位精度的仿真验证了该方法是一种高精度的定位方法。     

A Novel Algorithm Based on 3D-MUSIC Algorithm for Localizing Near-Field Source

A novel 3-D MUSIC algorithm based on the classical 3D-MUSIC algorithm for the location of near-field source was presented. Under the far-field assumption of actual near-field, two algebraic relations of the location parameters between the actual near-field sources and the far-field ones were derived. With Fourier transformation and polynomial-root methods, the elevation and the azimuth of the far-field were obtained, the tracking paths can be developed, and the location parameters of the near-field source can be determined, then the more accurate resuits can be estimated using an optimization method. The computer simulation results prove that the algorithm for the location of the near-fields is more accurate, effective and suitable for real-time applications.