利用模态参数对轮胎纯侧偏特性建模

在轮胎静生趣特怀建模的基础上，探讨了利用轮胎模态参数对轮胎纯侧偏特性的建模。通过侧向激振试验提取了轮胎的侧向模态参数并计算了轮胎在不同载荷下的偏离特性，计算结果与以往轮胎的试验结果具有很好的一致性。计算结果转化为无量纲形式并与经验模型进行了比较，建模和计算结果充分说明了模型的合理并显示了建模方法的优越性。     

城市公交线网优化的线性模型

为了对现有公交线网进行优化,有效利用现有交通资源,解决城市交通问题,运用系统科学的思想,通过对城市公交线网优化的主要内容、优化原则、优化目标以及约束条件的分析,兼顾考虑乘客出行时间、公交线网密度和公交企业的利益以及公交线网的布局对整个城市的交通系统的影响,提出了优化目标的函数表达式及相应约束条件的数学表达式,建立了公交线网优化的线性模型,并给出了运用逐步筛选法对所提出的数学模型进行求解的方法。     

斜拉索对钢管混凝土桁式组合拱桥力学性能的影响

位于湖南省永连公路上的天子山大桥是目前世界上第一座钢管混凝土桁式组合拱桥,其设计上的一个创新是用斜拉索代替了原来的刚性斜杆.制作了天子山大桥1∶20的铝合金模型,用模态分析的方法对钢管混凝土桁式组合拱桥的动力特性进行了研究,探讨了斜拉索对钢管混凝土桁式组合拱桥力学性能的影响.     

基于48000载重吨教学实习船的动力学结构优化

本文以48000载重吨教学实习船为研究对象,采用通用有限元软件MSC.Patran/Nastran进行全船频响分析.全船有限元计算条件要求极高,而一般情况下又存在各种资料的限制或实验数据的缺失,因而会使得计算精度较低.本文介绍利用基本的设计资料的条件下,从模态参与系数角度结合模态振型提出一种新的动力学结构优化思路,并进行计算分析以验证该方法的可行性与准确性,为全船有限元振动分析提供新的研究思路.     

船舶烧伤病房气流组织分析与优化

针对舰船舱室气流组织的形式特点,以烧伤病房作为研究对象建立数学模型,通过使用Airpak软件对烧伤病房不同设计方案下的气流组织进行了计算仿真,通过舱室温湿度,空气流速,热舒适指标等参数的对比,获得舱室的压力、温度、速度、热舒适性指标等的分布特性,对烧伤病房气流组织进行了分析并提出了优化方法,可以有效提高人员的舒适性和气流组织效果。     

卸船作业模式下自动化码头AGV路径仿真优化

AGV作为自动化码头水平运输的设备,主要负责运输集装箱。受岸桥和场桥装卸能力、水平运输距离和集装箱作业量增加等因素影响,水平运输环节是制约自动化码头发展的瓶颈。结合港口码头作业实际,采用"模型+实例+仿真"的方法对自动化码头AGV路径优化问题进行研究。结合道路交通流理论,提出交通虚拟环岛策略以避免多AGV在码头行驶时产生冲突和拥堵。在卸船作业流程下,采用e M-Plant仿真软件,对提出的交通控制策略从不同角度进行仿真模拟。结果表明,AGV不同路径的选择影响着码头的作业效率。试验结果进一步提高码头作业效率,为自动化码头AGV路径优化提供参考依据。     

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.     

Optimization of terminal airspace operation with environmental considerations

The rapid growth in air traffic has resulted in increased emission and noise levels in terminal areas, which brings negative environmental impact to surrounding areas. This study aims to optimize terminal area operations by taking into account environmental constraints pertaining to emission and noise. A multi-objective terminal area resource allocation problem is formulated by employing the arrival fix allocation (AFA) problem, while minimizing aircraft holding time, emission, and noise. The NSGA-II algorithm is employed to find the optimal assignment of terminal fixes with given demand input and environmental considerations, by incorporating the continuous descent approach (CDA). A case study of the Shanghai terminal area yields the following results: (1) Compared with existing arrival fix locations and the first-come-first-serve (FCFS) strategy, the AFA reduces emissions by 19.6%, and the areas impacted by noise by 16.4%. AFA and CDA combined reduce the emissions by 28% and noise by 38.1%; (2) Flight delays caused by the imbalance of demand and supply can be reduced by 72% (AFA) and 81% (AFA and CDA) respectively, compared with the FCFS strategy. The study demonstrates the feasibility of the proposed optimization framework to reduce the environmental impact in terminal areas while improving the operational efficiency, as well as its potential to underpin sustainable air traffic management.