基床爆夯在工程中的应用

爆破夯实密实基床的施工方法在广州港南沙港区工程#1#～10泊位施工中普遍采用;该工程的特点是基床厚度大(最大达21m),抛石量大。因此,采用爆破夯实的施工方法对工期要求紧迫的工程很有必要。通过对该工程质量管理经验总结,为同类型项目的施工提供参考。     

基于支持向量机的港口吞吐量预测

对传统的两个线性组合预测模型进行了研究,提出了一个新的线性组合预测模型Ⅲ。为提高精度,提出了支持向量机非线性的组合预测模型。以青岛港历年集装箱吞吐量为例,与单一预测方法、线性组合预测进行对比,结果表明支持向量机非线性的组合预测方法比较精确。     

一种具有双重功能的海底挖沟机

水下管道维修前，需要对海床进行基础开挖使管道裸露出来，并在维修点周围形成一定范围的工作面，因此须要使用水下管道维修基础开挖的专用设备——海底挖沟机。在新管线敷设过程中，也需要先对海底实施挖掘开沟，然后进行管道埋设。介绍了一种海底挖沟机，特别是关于一种既能进行海底管道维修基础开挖，又能进行海底管道开沟埋设的具有双重功能的海底挖沟机。     

扫路机液压驱动功率匹配与控制

介绍了液压驱动式扫路机发动机与液压泵的功率匹配原理、扫路机液压元件参数选择及CGJ1600SL扫路机驱动方式与控制,以从液压驱动功率匹配和控制方面实现高效、可靠、低成本的目的。     

轨道梁下桩对扶壁式码头的抗倾稳定性影响

设置桩支承的起重机轨道梁的扶壁码头结构形式,抗倾稳定性影响分析中应该考虑截桩力的稳定力矩。探讨了截桩力的产生机理和计算方法,结合工程对截桩力产生的稳定力矩的影响进行分析,结果表明,考虑截桩力稳定力矩具有一定的经济意义。     

船舶液压系统油污染的控制研究

大量统计资料显示,液压系统的故障率70%以上都是由于液压油的污染造成的。增强控制液压油污染的意识,加强对液压油污染的检测,提高液压油管理技术,能有效降低液压系统故障率。     

TB880E型掘进机应用研究

由铁道部出资7．3亿元购置的2台TB880E型掘进机，先后完成了秦岭特长Ⅰ线隧道、磨沟岭隧道、桃花铺1号隧道的掘进任务，累计掘进长度22162m。这2台掘进机自2002年工程完工后，维修、保养、存放至今。TB880E型掘进机的正常使用寿命应在8000台班左右，可以完成35～40km隧道的掘进任务。此文结合秦岭特长隧道、乌鞘岭特长隧道施工方案，对掘进机与钻爆法的优缺点进行对比分析，探讨TBM剩余寿命期的利用问题，以期为今后选择合理的隧道建设方案提供参考。     

圆柱形壳体上开大直径相贯圆孔的数控切割原理

对在圆柱形壳体上开大直径孔的数控切割原理进行了分析，主要是针对大直径开孔所涉及到的重要的空间几何关系和运动关系的计算，并介绍了DKK-1型大直径开孔数控火焰切割机的设计及实际使用情况。     

Multimode trip information detection using personal trajectory data

Handheld global positioning system (GPS) devices can serve as a new tool to collect an individual's trip information with advantages of low cost, accurate data, and intensive spatial coverage. Various machine learning algorithms have been explored to detected trip train information in previous studies; however, few of them focused on the evaluation and comparison of the performance and applicability of different models. Meanwhile, according to previous studies, car and bus mode detection is a thorny issue due to their similar travel characteristics, and algorithms still need to be well explored and improved to solve this problem. In this article, an innovative method is proposed to detect trip information, including trip modes, mode-changing time and location, and other attributes, from personal trajectory data. The method is a two-step process. A machine learning algorith-based module (including artificial neural network, support vector machine, random forests, and Bayesian network) is firstly used to identify walk, bicycle, and motorized trip modes (bus or car); we thoroughly compared the performance of these four algorithms. Then a second module, using critical points on the GPS trajectories, is further developed to distinguish car and bus mode, incorporated with GIS map information. Field test results show that the proposed machine learning models can all be applied for walk, bicycle, and motorized mode detection with high detection rates exceeding 90%; however, the algorithms work relatively poorly for bus and car mode detection, with results mostly below 75%. The proposed two-step method can greatly improve bus and car mode detection accuracy by 14–30%. As a result, the average mode detection rates for all the four modes are above 90%. Compared with mode detection results by using only the machine learning algorithm, the proposed two-step method has much better performance in both accuracy and consistency.     

舰船液压管系

概要介绍了舰船液压管系的组成,结合舰船液压管系的特点,提出了设计和布置的原则,以及需要遵循的标准和规范,为从事舰船液压管系设计的技术人员提供有价值的参考。