鱼雷攻击潜艇的毁伤效果评估模型研究

客观、准确地评价鱼雷攻击潜艇的毁伤效果是鱼雷与潜艇对抗的最后一环,也是评价鱼雷武器系统作战效能的重要指标。本文在现有毁伤概率计算方法的基础上引进了舱段的毁伤程度、要害指数、命中概率、毁伤效果累积系数和齐射毁伤系数等参数,建立了一种比较全面的用来评价鱼雷攻击潜艇毁伤效果的数学模型,并给出了典型应用。     

城市轨道交通的基本属性对投融资的启示

从城市轨道交通的基本属性入手,从产品分类、项目区分、可销售性评估、外部效应等角度分析其内在的本质特征:城市轨道交通的准公共性、准经营性、可销售性和外部性.形成了投融资工作的认识基础.提出了通过有条件的商业化运作方式建立起政府财力与社会资本互补的投融资机制的建议.     

高地应力千枚岩隧道二次衬砌施作时机研究

二次衬砌施作时机一直是高地应力软岩隧道工程设计与施工过程中面临的关键技术难题之一。为此,依托在建成都-兰州铁路典型千枚岩隧道工程,基于隧道变形长期监测结果,分析高地应力软岩隧道变形时程特点,考虑软岩隧道荷载特点,确定了二次衬砌施作时机原则;考虑隧道测量丢失变形,提出软岩隧道第1稳定阶段变形量确定方法;通过现场实测变形数据统计回归,基于一定保证率确定不同大变形等级和不同断面下的软岩隧道二次衬砌施作时机,并进行现场试验验证。研究结果表明:适当刚度的初期支护可以实现高地应力软岩隧道前期变形稳定,但无法保持围岩长期稳定,二次衬砌应该在初期支护变形达到第1稳定阶段后施作,既可以减少二次衬砌荷载,又可以控制围岩变形;采用指数函数拟合软岩隧道变形具有较好的相关性,但参数差异性较大,同时在确定隧道第1稳定阶段变形量时应考虑测量丢失变形;轻微、中等大变形段拱顶下沉变形速率小于0.1~0.2mm·d^-1,边墙收敛速率小于0.5mm·d^-1,严重、极严重大变形段拱顶下沉变形速率小于0.4mm·d^-1,边墙收敛小于0.6mm·d^-1,即可进行二次衬砌施作;轻微大变形段、中等大变形段和严重大变形段分别在隧道开挖45~55 d,55~60 d和80~90 d后达到二次衬砌施作标准。     

国内外船舶通用基础机电产品产业发展特点

本文围绕泵、阀、轴承、密封件、紧固件等五大类船舶通用基础机电产品,对其产业发展现状进行分析研究,总结国内外船舶通用基础机电产品产业发展特点,提出未来产业发展建议,为国内产品自主创新与产业升级提供参考。     

无梁板式高桩码头温度效应分析

气温的年变化会引起结构内温度的均匀变化,从而使得结构内部产生变形和内力,在高桩码头工程中温度作用往往会引起不利影响。为了研究无梁板式高桩码头的温度效应,基于无限板的热传导规律,以工程实例为依托,利用有限元软件ABAQUS建立三维模型。结合杭州地区的逐时气象资料,研究了气温变化特征、面板温差场以及结构变形与位移的变化规律,并对基本气温的选取进行讨论。结果表明:气温在无梁面板中呈现以厚度方向为主的一维传热特征,温度场在水平向分布均匀;气温年变幅在面板内几无衰减,日变幅对面板温度影响不可忽略;面板的整体温差与竣工时气温和年平均气温差,以及年变幅、日变幅的衰减值有关;无梁板码头基桩的温度响应受面板的整体温差控制,两者瞬时同步变化。     

基于贝叶斯概率估计的智能电动车动态目标避障算法

为了实现智能电动车在中汽中心智能网联示范基地内的动态避障,首先将直角坐标系与曲线坐标系进行转换,构建以参考路径的弧长s为横坐标,横向偏移距离q为纵坐标的曲线坐标系;其次,在曲线坐标系中利用三次多项式生成满足初始位姿与子目标点位姿的候选路径,同时对标准化常量的似然函数进行定义,在此基础上利用贝叶斯定理对每条候选路径的危险等级进行概率估计;在动态避障过程中,借鉴速度障碍法对碰撞威胁进行实时检测,并建立最短避障时间和安全距离的数学模型来实现高效的动态避障,最后对行人占用车道行走与横穿马路2种典型场景进行动态避障试验。研究结果表明：在曲线坐标系中,通过横向偏移距离能够便捷地建立起一系列候选路径,克服在直角坐标系中寻找移动子目标点这个难题;在寻找安全路径方面,由于智能电动车工作环境的不确定性,利用贝叶斯定理对候选路径危险等级进行概率计算的方法可靠性更高,速度障碍法与避障数学模型的结合满足碰撞危险检测的实时性和动态避障的高效性要求。试验结果表明：采用曲线坐标系中的动态避障算法对行人占用车道和横穿马路2种场景进行了有效的避障,在路径选择上符合实际驾驶习惯,达到了智能网联示范基地动态避障的要求。     

隆林新洲养护站边坡稳定性分析

文章利用SLOPE／W模块,基于确定值方法和可靠度理论的极限平衡法．对隆林新洲养护站边坡在不采取支挡措施和采用锚索抗滑桩支挡措施情况下,如何保持边坡稳定性进行了对比分析。     

Multiple criteria optimization method for the vehicle assignment problem in a bus transportation company

A vehicle assignment problem (VAP) in a road, long‐haul, passenger transportation company with heterogeneous fleet of buses is considered in the paper. The mathematical model of the VAP is formulated in terms of multiobjective, combinatorial optimization. It has a strategic, long‐term character and takes into account four criteria that represent interests of both passengers and the company's management. The decision consists in the definition of weekly operating frequency (number of rides per week) of buses on international routes between Polish and Western European cities. The VAP is solved in a step‐wise procedure. In the first step a sample of efficient (Pareto‐optimal) solutions is generated using an original metaheuristic method called Pareto Memetic Algorithm (PMA). In the second step this sample is reviewed and evaluated by the Decision Maker (DM). In this phase an interactive, multiple criteria analysis method with graphical facilities, called Light Beam Search (LBS), is applied. The method helps the DM to define his/her preferences, direct the search process and select the most satisfactory solution.     

Bush-based sensitivity analysis for approximating subnetwork diversion

Subnetwork analysis is often used in traffic assignment problems to reduce the size of the network being analyzed, with a corresponding decrease in computation time. This is particularly important in network design, second-best pricing, or other bilevel problems in which many equilibrium runs must be solved as a subproblem to a master optimization program. A fixed trip table based on an equilibrium path flow solution is often used, but this ignores important attraction and diversion effects as drivers (globally) change routes in response to (local) subnetwork changes. This paper presents an approach for replacing a regional network with a smaller one, containing all of the subnetwork, and zones. Artificial arcs are created to represent “all paths” between each origin and subnetwork boundary node, under the assumption that the set of equilibrium routes does not change. The primary contribution of the paper is a procedure for estimating a cost function on these artificial arcs, using derivatives of the equilibrium travel times between the end nodes to create a Taylor series. A bush-based representation allows rapid calculation of these derivatives. Two methods for calculating these derivatives are presented, one based on network transformations and resembling techniques used in the analysis of resistive circuits, and another based on iterated solution of a nested set of linear equations. These methods are applied to two networks, one small and artificial, and the other a regional network representing the Austin, Texas metropolitan area. These demonstrations show substantial improvement in accuracy as compared to using a fixed table, and demonstrate the efficiency of the proposed approach.     

Understanding members' carsharing (activity) persistency by using econometric model

Carsharing is an innovative travel alternative that has recently experienced considerable growth and become part of sustainable transportation initiatives. Although carsharing is becoming increasingly a popular alternative transportation mode in North America, it is still an under‐researched area. Current research is aimed at better understanding of the behavior of carsharing users. For every member, a two‐stage approach microsimulates the probability of being active in any month using a binary probit model and given that a particular member is active during a month, the probability of that member using the service multiple times using a random utility‐based model. The model is estimated using empirical data from one of the largest carsharing companies in North America. The model estimates reveal that the activity persistency of members is positively linked to previous behaviors for up to 4 months, and that the influence of previous months weakens over time. It also shows that some attributes of the traveler (gender, age, and language spoken at home) impact his or her behaviors. Copyright © 2010 John Wiley & Sons, Ltd.