大型通航建筑物下游检修水位的确定

针对通航建筑物下游检修水位确定的问题,通过工程类比方法,对坝址天然流量、入库流量、调峰流量、最大发电流量、下游梯级回水顶托和上游梯级群建成后对入库流量的影响等因素进行综合分析,认为宜选择对电站出力影响最小的下游水位作为通航建筑物的下游检修水位。     

基于纵倾优化的油船节能研究

以成品油船的阻力性能为优化指标,根据船体型线图,采用CATIA及ICEM软件,建立三维模型及计算域,划分结构性网格;采用计算流体力学软件(Fluent)计算目标船在变纵倾状态和吃水下的阻力值,并与船模拖曳试验相比较,分析纵倾变化对船舶阻力性能的影响规律.结果表明:该方法可以确定船舶在不同吃水下的最优纵倾值,并为船舶的实际运营提供建议,从而提高船舶的节能减排率,为发展绿色船舶提供新方向.     

土质特性对水泥土搅拌桩桩身强度增长机制分析

针对水泥土搅拌桩所处场地土层不单一,探讨了不同类型的土质下的水泥土搅拌桩桩身强度增长固化机制。通过一个工程实例的桩身芯样无侧限抗压强度实验数据,分析了各类土段搅拌桩桩身强度变化特征,来说明水泥土搅拌桩桩身强度的增长机制。     

现代国际港口客运站设计探究

一般邮轮旅游都是跨境游,与之配套的国际港口客运站除了要具备国内客运站应有的基本功能外,还涉及到旅客的出入境问题.结合实际工程案例详细探究通关设施的流线组织设计的原则和要求.为建筑师提供一个把手,规划、设计出更高效、实用、便捷、经济的现代国际港口客运站.     

瓯江大桥钢混结合段局部受力分析

运用大型有限元软件ANSYS对瓯江大桥主桥钢混结合段在运营过程中最不利荷载工况下的应力状态进行了分析。分析结果表明,除钢箱梁锚垫板下预应力管道支承钢板以及与混凝土箱梁结合面折角处存在应力集中现象、部分拉应力超出混凝土的抗拉强度外,结构总体受力合理,内部应力满足设计要求。针对钢混结合段的构造与受力复杂情况,对此部分的混凝土箱梁采用钢纤维混凝土作为加强措施。     

Van der Meer公式中渗透系数P的研究进展及应用

在抛石斜坡堤的设计中,国际规范普遍采用Van der Meer公式对斜坡堤护面块石的稳定质量进行计算。该公式对渗透系数P的取值,根据堤心、倒滤层、护面层的不同配置给出了4种标准情形下的推荐值,分别为P=0.1、P=0.4、P=0.5和P=0.6。在工程实践中,斜坡堤并不完全符合任何一种标准情形,往往表现为两种标准情形的中间形态,尤其是对堤心砂设置倒滤层并铺设土工布的情况。介绍了Van der Meer对渗透系数的研究和近年来的研究进展,并将研究成果应用到工程实例中,可为海外类似工程的设计提供一定的借鉴。     

"悬索桥按二阶理论的实用计算"法的推广应用探讨

本文对无中间支承的三跨连续悬索桥结构作了两种简化处理方案后，使“悬索桥按二阶理论的实用计算”文献中的全套公式得到了扩宽应用。文中还结合算例分析来说明方法的应用，它可供设计部门在初步设计中作截面尺寸估算的参考。     

真空热处理对Co-W电刷镀镀层的影响

本文以3Cr2W8V为基体,制备了Co-W合金的电刷镀镀层,并在不同温度下对镀层试样进行了真空热处理,观察了热处理后镀层截面形貌和组织特征,分析了热处理后镀层的硬度、结合力等性能。结果表明在750℃时对Co-W镀层进行真空热处理后,涂层具有良好的综合性能。     

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.     

金属带式无级变速器夹紧力的分析与研究

在当前金属带式无级变速器常用的夹紧力控制方法基础上,通过台架试验标定出了临界夹紧力,并考虑温度对夹紧力的影响而引入温度修正系数;利用模糊算法选定各种不同工况下的安全系数,从而确定金属带的目标夹紧力.实车试验结果表明,应用上述方法确定的目标夹紧力,可在保证金属带不打滑的情况下,有效降低目标夹紧力,提高了金属带式无级变速器的传动效率.