A second order volume of fluid （VOF） scheme for numerical simulation of 2-D breaking waves

Among all environmental forces acting on ocean structures and marine vessels, those resulting from wave impacts are likely to yield the highest loads. Being highly nonlinear, transient and complex, a theoretical analysis of their impact would be impossible without numerical simulations. In this paper, a pressure-split two-stage numerical algorithm is proposed based on Volume Of Fluid (VOF) methodology. The algorithm is characterized by introduction of two pressures at each half and full cycle time step, and thus it is a second-order accurate algorithm in time. A simplified second-order Godunov-type solver is used for the continuity equations. The method is applied to simulation of breaking waves in a 2-D water tank, and a qualitative comparison with experimental photo observations is made. Quite consistent results are observed between simulations and experiments. Commercially available software and Boundary Integral Method (BIM) have also been used to simulate the same problem. The results from present code and BIM are in good agreement with respect to breaking location and timing, while the results obtained from the commercial software which is only first-order accurate in time has clearly showed a temporal and spatial lag, verifying the need to use a higher order numerical scheme.     

对ANN技术表达船体曲线算法的改进

应用人工神经元网络（ANN）技术表达船体曲线。根据问题性质,选用小波基作为前向单层神经网络的神经元激励函数,结合逐层学习（OHLO）算法对一艘3．6万吨散货船的后半体进行了表达。编程运算结果表明,该方法速度较传统的BP算法有较大提高。     

A two-phase model for dry port location with an application to the port of Dalian in China

This paper provides guidance for an optimal and reasonable dry port layout for the port of Dalian in China. We present a two-phase framework on the location of dry ports, which solves the selection of candidate inland cities and optimal dry port location choice, respectively. Fuzzy C-Means Clustering is applied to select alternative cities in the vast hinterland of the seaport of Dalian, with a view to identify evaluation factors that affect the location selection decision. A cost-minimisation linear programming solution is proposed, with the aid of a genetic algorithm, to choose the optimal location as well as capacity level among the candidate inland cities.     

Large-scale evacuation network optimization: a bi-level control method with uncertain arterial demand

To improve the efficiency of large-scale evacuations, a network aggregation method and a bi-level optimization control method are proposed in this paper. The network aggregation method indicates the uncertain evacuation demand on the arterial sub-network and balances accuracy and efficiency by refining local road sub-networks. The bi-level optimization control method is developed to reconfigure the aggregated network from both supply and demand sides with contraflow and conflict elimination. The main purpose of this control method is to make the arterial sub-network to be served without congestion and interruption. Then, a corresponding bi-objective network flow model is presented in a static manner for an oversaturated network, and a Genetic Algorithm-based solution method is used to solve the evacuation problem. The numerical results from optimizing a city-scale evacuation network for a super typhoon justify the validity and usefulness of the network aggregation and optimization control methods.     

铁路客车轮对踏面硌伤自动分析系统的研究与实现

为了解决客车轮对踏面硌伤人工分析效率低且质量不高的问题,基于大数据关联分析技术,构建了一套硌伤自动分析系统.从硌伤排查、自动分析、故障定位、统计分析4个方面分析系统的主要组成和功能,探讨了实现系统的关键技术.系统的应用提高了对客车轮对踏面硌伤分析和故障排查的效率.     

青藏铁路综合视频监控系统室外摄像机抖动频率特征分析

青藏铁路沿线多处区段常年多风,导致安装在铁塔高处的长焦摄像机产生抖动引起图像模糊,因此使用的长焦摄像机应具有防抖功能.而多个摄像机、镜头等生产厂家,均无法提供其电子防抖性能的具体参数指标,或无法给出光学/机械防抖性能参数指标来源.通过提出采用SURF算法提取匹配图像的特征点,介绍算法原理和算法实现过程,并开展算法验证和...     

基于模拟退火-自适应布谷鸟算法的城市公交调度优化研究

为改善城市常规公交运营效率,提出基于模拟退火-自适应布谷鸟算法的公交调度优化模型.通过结合线路实际客流数据反映的客流特征,建立考虑公交公司和乘客双方利益的公交调度优化模型;改进布谷鸟算法固定步长并加入模拟退火算法退火操作,设计模拟退火-自适应布谷鸟算法,改善寻优过程中跳出局部最优解而全局寻优的能力;以福州125路公交线...     

序决策逻辑及基于启发式遗传算法的规则挖掘

很多真实世界处理排序问题代替分类问题,例如由不同生产厂商生产的消费品,大学之间的排序等等.一般地,一个全局的信息表需要给定.本文采用了基于Rough集理论的方法来阐述排序规则的挖掘问题,且利用了基于遗传算法的启发式算法来达到算法的实现.     

粘连蚕卵图像分离算法研究

针对蚕卵图像中存在的粘连或者部分重叠现象,本文提出了一种新的分离方法。该方法先采用模糊C均值聚类算法将蚕卵图像从背景中分割,然后采用模糊距离变换得到模糊距离图像,最后使用分水岭算法将粘连或者部分重叠蚕卵分离。实验证明,此法能够将粘连颗粒物图像有效分离。     

Application of frequency estimation algorithm based on a single vector sensor in underwater acoustic communication

1 Introduction1 An acoustic vector sensor (AVS) simultaneously measures the acoustic pressure and the components of acoustic particle velocity which render the basis for developing new signal processing methods[1-2]. The higher processing gain can be obta…