065减壳铸造工艺优化及应用

对065减速器壳生产效率低,废品率高的现状进行原因分析,通过对原工艺优化,最终解决了该铸件存在的气孔、夹渣、缩孔等缺陷,并提高了生产效率、降低了生产成本。     

Wave and sea level monitoring and prediction in the service module of the Global Ocean Observing System (GOOS)

The need for a Global Ocean Observing System Global (GOOS) is now widely appreciated. Parts of GOOS are currently being implemented already. In this paper, written on the request of the joint Scientific and Technical Committee of GOOS, we present some of the scientific issues that need to be addressed for the further development of the Ocean and Marine Meteorology Service module of GOOS. This module is concerned with monitoring and prediction of sea level (both tsunamis and storm surges) and wind driven waves (wind–sea and swell), among other things. For each of these we discuss the current state-of-the-art, indicate what observations are needed and make suggestions for future modelling development.     

基于共同配送策略的公路货运网络优化问题

为取得公路货运网络的规模经济,提出采用共同配送模式来优化公路货运网络。针对已有运输网络设计模型中对运费函数和路径选择分析的不足,提出包含分段费用函数和最短运输路径选择的公路货运枢纽网络设计模型。通过实例计算,采用共同配送模式的公路货运网络中的货物周转量比采用传统的"点-点"网络模式中的货物周转量增加38.07%;而前者的干线公路运输费用却比后者下降了26.48%。结果表明,采用共同配送模式有利于实现公路货运网络的规模经济,文中提出的运输网络设计模型能较好用于公路货运网络优化中。     

考虑剪力滞效应的合理成桥状态的荷载检验

以某顶推施工独塔钢箱梁斜拉桥为背景,通过不同方法对比确定合理成桥状态。在此基础上,应用ANSYS软件,考虑扁平钢箱梁的剪力滞效应,对斜拉桥的成桥状态进行荷载检验,确认桥梁营运期的安全可靠。     

船舶结构混合变量优化的遗传算法

本文针对船舶结构优化设计中普遍存在的混合离散变量现象，对遗传算法进行了若干探讨和改进，以直接获得实用的最优解。通过两个船舶结构优化的算例，验证了本文方法的有效性。     

Cost-time Minimization in a Transportation Problem with Fuzzy Parameters: A Case Study

In real world applications the supply, the demand and the transportation cost per unit of the quantities in a transportation problem are hardly specified precisely because of the changing economic and environmental conditions. It is also important that the time required for transportation should be minimum. In this paper a method has been proposed for the minimization of transportation cost as well as time of transportation when the demand, supply and transportation cost per unit of the quantities are fuzzy. The problem is modeled as multi objective linear programming problem with imprecise parameters. Fuzzy parametric programming has been used to handle impreciseness and the resulting multi objective problem has been solved by prioritized goal programming approach. A case study has been made using the proposed approach.     

车身壁板自由阻尼层稳健性优化设计

在车身壁板自由阻尼层的优化设计中,提出了考虑阻尼材料参数不确定性波动的稳健性优化设计方法。首先,在车身防火墙、地板和顶棚等区域全敷阻尼材料;其次,以等效辐射声功率(ERP)为优化目标对阻尼层布局进行拓扑优化并验证优化效果;最后,以阻尼层厚度为随机设计变量,损耗因子和弹性模量为随机变量,质量最小为优化目标,并结合径向基函数(RBF)近似模型、蒙特卡洛模拟(MCS)和序列二次规划算法(SQP)对阻尼层进行6σ稳健性优化设计。结果表明,优化后车身自由阻尼层的总质量减少了50.45%,并且车身结构噪声性能达到了6σ质量水平,实现了保证车身轻量化要求下的阻尼层稳健性优化的目标。     

混输原油管道优化运行技术研究

针对长吉输油管线采用混合输送方式输送俄罗斯原油和大庆原油及该管线的工程实际,以总运行费用最小为原则,以各站进站温度和开泵方案为决策变量,建立了该管线优化运行的数学模型,采用穷举法穷举出各种可能的开泵方案作为外层嵌套,将进站温度的优化作为内层嵌套求解该模型。通过某天实际运行方案和优化运行方案对比可以看出,优化运行方案总费用降低7%。     

基于Pareto遗传算法的船舶操纵性能多目标优化技术研究

针对船舶初始设计阶段船舶操纵性能优化这一复杂的多目标问题,开展相应的多目标优化方法研究。利用Pareto方法的特点,提出基于Pareto遗传算法来解决传统方法中的这个问题。经过优化可以得到均匀分布的Pareto解集,便于进行分析比较和选择,并给出计算实例。     

基于蚁群算法的舰船避险航路规划

采用蚁群算法研究舰船避险航路规划问题,利用栅格法将航行海区进行细分,建立舰船避险航路模型,进而求算优化解。仿真结果表明,蚁群算法求解舰船优化航路具有较强的稳定性和鲁棒性。