长柱状重力活塞取样器作业收放方式浅析

长柱状重力活塞取样是科考船上常用的取样作业之一,也是地质考察中最重要的取样作业之一。文中着重阐述长柱状重力活塞取样器收放作业的技术,简单介绍长柱状重力取样的工作原理及步骤;对比几种长柱状重力活塞取样作业的收放技术和实施方案;给出一定的前瞻性建议。     

Post-disaster debris reverse logistics management under psychological cost minimization

This work presents a novel reverse logistics system for post-disaster debris. Effectiveness of the proposed system is demonstrated by applying it to a case study in Wenchuan County of China. The county was the epicenter of the Wenchuan earthquake on May 12, 2008. A multi-objective linear programming model is also formulated capable of systematically minimizing total reverse logistical costs, corresponding environmental and operational risks, and psychological trauma experienced by local residents why they waited for medical treatment and removal of debris. The psychological stress induced during the debris reverse logistic process is the integral of an increasing marginal function of the waiting time for medical treatment and debris removal. Numerical results indicate that when considering risk-induced and psychological costs, the proposed model can reduce such costs associated with post-disaster debris reverse logistics by 22.62% and 54.93%, respectively, from their values when only the logistical costs are minimized. Although reducing the psychological cost of disaster victims, the temporary storage of disaster-hit sites increases the psychological costs of individuals who are processing the debris. We recommend increasing on-site storage and treatment capacities to reduce risk-induced and psychological costs with a lower increase in logistical costs. When the risk tolerance ranges from its minimum value to +25%, the Pareto fronts are closer than those of the risk tolerance increase by more than +25%. Efforts are underway to design a tool based on the Pareto analysis method for future decision making.     

RW-R01铁路运输通信数字式语音记录仪维护与故障处理

铁路运输通信语音记录设备,完整记录指挥调度工作过程,为行车事故的分析处理提供依据。以西安局太中银线RW-R01记录仪维护为例,总结故障处理思路和办法。     

纯电动车热管理系统构建研究

现在国内专业领域针对电动车热管理多集中在电池热管理方向,探讨电机、电池、空调系统整合的整车热管理参考文献不多;主要介绍了纯电动汽车电机、电控等散热需求零件的热管系统构建和电池温控系统发展技术综述与技术趋势。希望通过本文的介绍,对后续热管理系统的发展,推动相关热管理零部件产业化发展提供参考(如通断式电子水阀、流量比例调节的电子水阀、高功率水泵、新型材料的冷却管路等);同时也对控制策略、控制阀值、零部件作动方式进行较为详细的介绍,有一定的参考意义。     

基于LabVIEW的转向架应力应变测试系统设计

本文以LabVIEW为软件开发平台,结合相应的NI工控机及数据采集卡,完成了对应力应变信号数据的自动采集与处理,具有实时显示应变值、实时存储、数据处理等功能,使用灵活,可移植性好,性价比高。结果表明,采用NI计算机测试系统代替传统的应变仪,对应力应变信号实时数据采集与处理具有重要的现实意义。     

灰色自适应模型在围岩变形预测中的应用

文章针对当前隧道围岩变形预测常用方法存在的局限性,通过对监测数据的平滑和等时距处理,建立灰色自适应模型,并将该模型应用于厦蓉高速公路隧道拱顶沉降位移预测工程实际,验证了模型的有效性及可行性。     

集装箱车辆跟踪和管理

叙述对集装箱车辆跟踪和管理的重要性,介绍实现集装箱车辆跟踪和管理的方法,以及采用3G（GPS、GIS、GSM）高新技术开发而成的集装箱车辆跟踪和管理系统,最后展示应用实例。     

204国道改建工程软基处理技术

204国道改建工程在我省所经地区均为海淤地质,又是老路拓宽,施工难度较大,在实施过程中针对具体情况,结合科研,对沿线桥、涵、路基、路面、沟塘均进行了较好的软基处理,不仅保证了质量,而且节省了造价,缩短了工期．可供同类工程参考使用。     

基于时域解析信号的广义MUSIC算法

波束形成是声呐信号处理的关键技术,本文提出一种新的基于宽带时域解析信号的广义MUSIC自适应波束形成算法(TAMUSIC算法).该算法将时域解析信号与改进的MUSIC算法相结合,对精确时延之后的宽带时域信号进行希尔伯特变换生成复数形式的时域解析信号,增加权向量自由度;通过增加调节指数构建新广义噪声子空间,解决了传统MUSIC算法信源数目估计不准带来的影响,提高算法鲁棒性;最后利用信号子空间和噪声子空间的正交性估计目标方位.仿真数据和海试数据处理的结果表明:TAMUSIC算法可以获得更尖锐的谱峰,提高目标的角度分辨力,增强了弱小目标的发现能力.     

A reactive container rerouting model for container flow recovery in a hub-and-spoke liner shipping network

This paper focuses on the container rerouting due to a disruption, aims at making the optimal container flow recovery plan for the affected liner shipping company. First, we make the initial effort to bring up with a basic framework of disruption management for liner shipping. Second, we present a compact integer linear programming model for addressing the container rerouting problem under the proposed framework in a hub-and-spoke liner shipping network, based on a given recovery vessel schedule that determines to omit a port of call. Other shipping companies’ services and other modes (roadway, railway, and airline) as candidate alternative means to transport the miss-connected containers are also incorporated in the proposed model. The container flow recovery plan would select the optimal alternative paths for the miss-connected containers balancing the trade-off between container transport costs and delivery delay penalty costs. Finally, a case study from a global liner shipping company is investigated and the computational results indicate the model can be solved effectively and efficiently for the real-scale problem. Thus, the proposed approach in this paper can supply real-time decision support tool for the liner shipping operators on handling the process of container flow recovery.