台风对洋口港深水航道骤淤影响的研究

联合运用SWAN模型和MIKE21模型，建立了波流联合作用下平面二维的泥沙数学模型，模拟台风作用下洋口港深水航道的淤积情况；提出了近底高浓度水体临界高度的计算方法，据此建立了考虑推移质与近底高浓度含沙水体层两层模式输沙、计算粉砂质海岸淤强的经验公式；最后运用上述2种方法分别计算台风作用下洋口港外航道的淤积，分析结果认为台风作用不会对洋口港外航道造成很大淤积。     

Using a random displacement model to simulate turbulent particle motion in a baroclinic frontal zone: A new implementation scheme and model performance tests

Numerical artifacts can limit accurate simulation of turbulent particle motion when Lagrangian particle-tracking models are implemented in hydrodynamic models with stratified conditions like fronts. Yet, modeling of individual particle motion in frontal regions is critical for understanding sediment dynamics as well as the transport and retention of planktonic organisms. The objective of this research was to develop a numerical technique to accurately simulate turbulent particle motions in a particle-tracking model embedded within a hydrodynamic model of a frontal zone. A new interpolation scheme, the ‘water column profile’ scheme, was developed and used to implement a random displacement model for turbulent particle motions. A new interpolation scheme was necessary because linear interpolation schemes caused artificial aggregation of particles where abrupt changes in vertical diffusivity occurred. The new ‘water column profile’ scheme was used to fit a continuous function (a tension spline) to a smoothed profile of vertical diffusivities at the x–y particle location. The new implementation scheme was checked for artifacts and compared with a standard random walk model using (1) Well Mixed Condition tests, and (2) dye-release experiments. The Well Mixed Condition tests confirmed that the use of the ‘water column profile’ interpolation scheme for implementing the random displacement model significantly reduced numerical artifacts. In dye-release experiments, high concentrations of Eulerian tracer and Lagrangian particles were released at the same location up-estuary of the salt front and tracked for 4 days. After small differences in initial dispersal rates, tracer and particle distributions remained highly correlated (r = 0.84 to 0.99) when a random displacement model was implemented in the particle-tracking model. In contrast, correlation coefficients were substantially lower (r = 0.07 to 0.58) when a random walk model was implemented. In general, model performance tests indicated that the ‘water column interpolation’ scheme was an effective technique for implementing a random displacement model within a hydrodynamic model, and both could be used to accurately simulate diffusion in a highly baroclinic frontal region. The new implementation scheme has the potential to be a useful tool for investigating the influence of hydrodynamic variability on the transport of sediment particles and planktonic organisms in frontal zones.     

汽车行驶阻力的数学模型及其电模拟模型的应用与研究

建立了汽车行驶阻力的数学模型，阐明了电模拟模型的基本原理、方法，以及电涡流测功机控制方法等关键技术，实现了不同工况、不同负荷下对汽车行驶阻力进行的模拟试验。     

不等式证明中的概率方法

在分析数学中有些不等式的证明往往比较复杂，而且具体的直观含义也比较抽象．如果能够建立起适当的概率模型，赋以一些随机事件或随机变量的具体含义，再利用概率论的理论加以证明，则常常能使证明过程得到简化．同时还可以为抽象的数学问题提供具体的概率背景，沟通各数学分支之间的联系．文中在分析数学的几个重要不等式的证明之中引进了概率方法，取得较好的效果。     

Economic Viability of Mega-size Containership in Different Service Networks

The mega-size containership viability was analyzed by considering different service networks for different ship sizes: hub-and-spoke and multi-port-calling (MPC) networks for mega-size containerships and conventional ships. A model was proposed, which quantifies the economies of scale in operating large con- tainerships and constructs models for ship routing under different service networks. A sensitivity analysis was conducted to test the effect of feeder costs and the results analyzed to determine optimal containership size with respect to different operational scenarios. Throughout model applications for Asia-Europe and Asia-North America trades, the mega-size containership is competitive in all scenarios for Asia-Europe, while it is viable for Asia-North America only when the feeder costs are low.     

Research on probability distribution of port cargo throughput

In order to more accurately examine developing trends in gross cargo throughput, we have modeled the probability distribution of cargo throughput. Gross cargo throughput is determined by the time spent by cargo ships in the port and the operating efficiency of handling equipment. Gross cargo throughput is the sum of all compound variables determining each aspect of cargo throughput for every cargo ship arriving at the port. Probability distribution was determined using the Wald equation. The results show that the variability of gross cargo throughput primarily depends on the different times required by different cargo ships arriving at the port. This model overcomes the shortcoming of previous models： inability to accurately determine the probability of a specific value of future gross cargo throughput. Our proposed model of cargo throughput depends on the relationship between time required by a cargo ship arriving at the port and the operational capacity of handling equipment at the port. At the same time, key factors affecting gross cargo throughput are analyzed. In order to test the efficiency of the model, the cargo volume of a port in Shandong Province was used as an example. In the case study the actual results matched our theoretical analysis.     

用OO技术建立接触网参数数据库的输入模型

本文主要介绍向对象的系统分析原理与方法以及进行系统信息模型设计的思想，并用这种新方法对接触网参数数据库输入过程进行了分析和建模。     

船舶碰撞后运动趋势的模拟计算

本文首先应用明诺斯基(Minorsky)一维碰撞理论,扩展为多自由度模型,描述船舶在碰撞瞬间的能量和运动的转化。以确定两船碰撞后运动的初始条件。船舶碰撞结束之后,开始进入惯性运动阶段,再以日本MMG小组提出的船舶操纵性数学模型为基础,根据基本物理定理,建立两船在互为约束条件下的运动数学模型,计算碰撞后两船的运动过程。最后,在可能出现的各种碰撞格局下进行模拟试验,确定比较符合实际的碰撞前的初始运动状态,为事故分析提供依据。研究表明,用此种模拟计算方法,能较好地计算出船舶碰撞后的运动过程,是一种分析碰撞事故的有效方法。     

SDMIS管理信息系统的研究

SDMIS是一个热处理车间计划和调度微机管理信息系统。该系统运用运筹学模型和数据库技术,对MIS及计划和调度模型作了一些理论上和实践上的探索和尝试。由于以热处理车间为模型,系统是针对热处理车间的特点进行分析和设计的。通过SDMIS系统用户可以随时了解生产情况,掌握生产进度。在引进优先效和优先级的基础上,本文还建立了优先数计划编制模型和三级优先随机调度模型,用调度模型进行的日调度,能在全面分析生产情况和短线情况的基础上,分清轻重缓急,进行科学有效的调度。