自卸式远洋散装水泥运输船特殊结构强度分析研究

以远洋散装水泥运输船为研究对象,采用三维有限元分析方法及ＤＮＶ船级社的ＳＥＳＡＭ结构计算软件,从船体结构强度、船舶振动预报和船体结构温度应力等方面对该型船结构设计的多项技术难点进行了详细的计算和评估。并且着重对大型散装水泥运输船间断内底板、中纵舱壁以及高腹板旁桁材等特殊结构的受力状态及应力分布进行分析和探讨。为自卸式散装水泥运输船的结构优化设计提供技术支撑。     

Optimum design of tilting bogie frame in consideration of fatigue strength and weight

This paper addresses the use of finite-element (FE) analysis to calculate the fatigue strength of a bogie frame, for the development of tilting trains in Korea. A multi-body dynamic analysis was performed to extract the load condition by tilting on curves. Using the results of the multi-body dynamic analysis and the load scenario setout in the UIC standard, FE analysis was performed to obtain the stress distribution and to calculate the fatigue strength. An attempt was made to minimize the weight of the bogie frame using a back-propagation artificial neural network (ANN). The results of this study reveal that the stresses at some nodes are near the fatigue limit in the Goodman diagram and by using back-propagation ANN, the weight of the bogie frame could be reduced by 4.7%.     

结构可靠性优化设计的遗传算法

本文针对结构可靠性优化设计问题的特点与计算上的难点，提出遗传算法，文中比较详细地比较了遗传算法的理论基础，遗传算子及工作过程，并对参数选择及其对收敛的影响作了探讨，最后以两个可靠性优化问题作了算例，验证了遗传算法解决此类问题的有效性。     

小水线面双体船结构优化

本文对小水线面双体船结构优化设计方法进行了研究。以-570t外倾式小水线面双体船为结构优化对象,根据劳氏船级社特种船舶入级规范中的有关要求作为其约束条件,利用混合离散变量优化方法(MDOD法)对该船进行了结构优化设计。     

天津西南环线铁路钢横梁框架墩设计

当前,新建铁路临近市区或车站地段,往往铁路密集、纵横交错,新建线路与既有铁路、公路小角度交叉的情况不可避免;加之临近车站时线路纵断面抬高困难,需严格限制上跨线路的结构建筑高度.钢横梁框架墩的建筑高度较低,而横向跨度相对较大,是此类工点较好的解决方案.本文介绍了钢横梁框架墩的结构特点,分析比较了不同的墩顶固结方式,并总结了设计注意事项.     

铁路小半径曲线刚构-连续梁桥设计研究

为研究小半径曲线刚构-连续梁桥的受力特点,以某(36+60+36)m铁路刚构-连续梁桥为背景进行分析。采用BSAS、MIDAS、ANSYS建立有限元模型,针对该桥小半径、施工复杂等特点,从弯扭耦合效应、刚度、变形、稳定性等方面进行详细分析,结果表明:该桥具有足够的强度、刚度和稳定性。     

An easy procedure to determine Magic Formula parameters: a comparative study between the starting value optimization technique and the IMMa optimization algorithm

In 2004, a new searching algorithm for Magic Formula tyre model parameters was presented. Now, a summary of the results, for pure and combined slip, that this algorithm is able to achieve is presented. The Magic Formula tyre model needs a set of parameters to describe the tyre properties. The determination of these parameters is dealt with in this article. A new method, called IMMa Optimization Algorithm (IOA), based on genetic techniques, is used to determine these parameters. Here, we show the computational cost that has been used to obtain the optimum parameters of every characteristic of the Magic Formula tyre model, called Delft Tyre 96. The main advantages of the method are its simplicity of implementation and its fast convergence to optimal solution, with no need of deep knowledge of the searching space. Hence, to start the search, it is not necessary to know a set of starting values of the Magic Formula parameters (null sensitivity to starting values). The search can be started with a randomly generated set of parameters between [0, 1]. Nowadays, MF-Tool, an application developed by TNO, uses an optimization technique to fit Magic Formula parameters from Matlab toolbox [van Oosten, J.J.M. and Bakker, E., 1993, {Determination of magic tyre model parameters}. Vehicle System Dynamics, 21, 19–29; van Oosten, J.J.M., Savi, C., Augustin, M., Bouhet, O., Sommer, J. and Colinot, J.P., 1999, {Time, tire, measurements, forces and moments, a new standard for steady state cornering tyre testing}. EAEC Conference, Barcelona, 30 June–2 July.]. We refer to that algorithm as the starting value optimization technique. The comparison between the optimization technique employed by TNO and the proposed IOA method is discussed in this article. In order to give a relative idea of adjustment accuracy, the sum-squared error and the mean-squared error, from the curves of the tyre model with the parameters optimized by both applications compared with test data are evaluated.     

Ant Colony Routing algorithm for freeway networks

Dynamic traffic routing refers to the process of (re)directing vehicles at junctions in a traffic network according to the evolving traffic conditions. The traffic management center can determine desired routes for drivers in order to optimize the performance of the traffic network by dynamic traffic routing. However, a traffic network may have thousands of links and nodes, resulting in a large-scale and computationally complex non-linear, non-convex optimization problem. To solve this problem, Ant Colony Optimization (ACO) is chosen as the optimization method in this paper because of its powerful optimization heuristic for combinatorial optimization problems. ACO is implemented online to determine the control signal – i.e., the splitting rates at each node. However, using standard ACO for traffic routing is characterized by four main disadvantages: 1. traffic flows for different origins and destinations cannot be distinguished; 2. all ants may converge to one route, causing congestion; 3. constraints cannot be taken into account; and 4. neither can dynamic link costs. These problems are addressed by adopting a novel ACO algorithm with stench pheromone and with colored ants, called Ant Colony Routing (ACR). Using the stench pheromone, the ACR algorithm can distribute the vehicles over the traffic network with less or no traffic congestion, as well as reduce the number of vehicles near some sensitive zones, such as hospitals and schools. With colored ants, the traffic flows for multiple origins and destinations can be represented. The proposed approach is also implemented in a simulation-based case study in the Walcheren area, the Netherlands, illustrating the effectiveness of the approach.     

两种舰船—飞机耦合系统的降阶建模方法

舰船的运动和甲板的变形，对着舰飞机的冲击载荷会产生影响，而该冲击载荷又会直接影响飞行甲板的变形，因此两者的运动是耦合的，需要把它们作为一耦合系统进行分析。本文对该耦合系统提出了两种降阶建模方法。该方法首先对飞行甲板进行动力缩聚，使其只包含在整个降落过程中会与飞机起落架的运动发生耦合的所有自由度，然后把降阶了的模型与飞机一起建工耦合动力学方程。运用该方法建立起来的动力学方程规模将大大减小。通过对某型号飞机及舰船计算表明，本文提出的方法是可行的。     

基于遗传算法的重载与非重载去向开行方案比较研究

本文道德简要介绍重载运输在我国开行的现状，在此基础上建立一个重载列车去向模型。引进一个先进的算法－遗传算法求解模型，根据求得最终优化方案，比较普通直达列车和重载列车开行方案的不同，计算结果表明重载列车的开行应该重新调整现有编组计划，而不是仅仅加大原有开行方向上的编成辆数以实现重载。