27000 DWT多用途船设计

多用途船以其分舱灵活、装载货物种类多、货物装卸方便等优势,得到国内外以散杂货运输为主的船东青睐.介绍27 000 DWT多用途船的主要参数和总体布置情况,并对其EEDI能效设计指数、主机配置优化、线型优化设计、货舱布置、舷侧设计和防海盗措施进行了探讨.     

典型船舶悬臂基座阻抗特性研究

基于阻抗分法探索悬臂型基座的机械阻抗特性,借助有限元软件数值分析典型船体悬臂型基座的阻抗特性,以及基座各结构参数对其机械阻抗的影响规律;在此基础上,基于阻抗失配原理开展了悬臂型基座结构参数优化研究,最终形成一套较准确的船体基座阻抗分析方法,且具有较好的工程应用价值。     

Ground delay program planning under uncertainty in airport capacity

Abstract

This paper presents an algorithm for assigning flight departure delays under probabilistic airport capacity. The algorithm dynamically adapts to weather forecasts by revising, if necessary, departure delays. The proposed algorithm leverages state-of-the-art optimization techniques that have appeared in recent literature. As a case study, the algorithm is applied to assigning departure delays to flights scheduled to arrive at San Francisco International Airport in the presence of uncertainty in the fog clearance time. The cumulative distribution function of fog clearance time was estimated from historical data. Using daily weather forecasts to update the probabilities of fog clearance times resulted in improvement of the algorithm's performance. Experimental results also indicate that if the proposed algorithm is applied to assign ground delays to flights inbound at San Francisco International airport, overall delays could be reduced up to 25% compared to current level.     

Disruption Management of an Inequality-Based Multi-Fleet Airline Schedule by a Multi-Objective Genetic Algorithm

Abstract

This paper presents a novel application of a Method of Inequality-based Multi-objective Genetic Algorithm (MMGA) to generate an efficient time-effective multi-fleet aircraft routing algorithm in response to the schedule disruption of short-haul flights. It attempts to optimize objective functions involving ground turn-around times, flight connections, flight swaps, total flight delay time and a 30-minute maximum delay time of original schedules. The MMGA approach, which combines a traditional Genetic Algorithm (GA) with a multi-objective optimization method, can address multiple objectives at the same time, then explore the optimal solution. The airline schedule disruption management problem is traditionally solved by Operations Research (OR) techniques that always require a precise mathematical model. However, airline operations involve too many factors that must be considered dynamically, making a precise mathematical model difficult to define. Experimental results based on a real airline flight schedule demonstrate that the proposed method, Multi-objective Optimization Airline Disruption Management by GA, can recover the perturbation efficiently within a very short time. Our results further demonstrate that the application can yield high quality solutions quickly and, consequently, has potential to be employed as a real-time decision support tool for practical complex airline operations.     

Optimization of Fare Structure and Service Frequency for Maximum Profitability of Transit Systems

Abstract

Providing efficient public transportation has been recognized as a potential way of alleviating congestion, improving mobility, mitigating air pollution, and reducing energy consumption. Many people use public transportation systems for their daily commute, while others use different transportation modes (e.g. cars, taxis, carpools, etc.). Inexpensive fares with good transit service encourages ridership, and the resulting revenue may be used to provide better service. Optimization of transit service frequency and its associated fare structure is desirable in order to increase revenue at reasonable transit operating expenditure. The objective of the study reported here is to maximize profit subject to service capacity constraint, while elastic demand is considered. The solution methodology is developed and applied to solve the profit maximization problem in a case study based on Newark, NJ, USA. Numerical results, including optimal solutions and sensitivity analyses, are presented. It is found that an optimal temporal headway and differential fare structure that maximizes total profit for the studied subway system can be efficiently solved.     

细集料组成对沥青混合料的密实性影响分析

针对目前骨架密实型沥青混合料优化设计的热点问题,文章结合工程实际,通过室内试验,分析了在形成沥青混合料骨架结构的基础上,细集料组成对沥青混合料密实性的影响,并提出了控制细集料各个筛孔的合理通过率,为骨架密实型沥青混合料级配优化设计提供参考。     

交叉口混合交通流高维多目标信号优化控制

为提高我国城市道路交叉口混合交通流智能信号控制的效率,提出一种基于高维多目标进化算法的交叉口混合交通流信号智能优化控制方法.首先,提出一种新的高维多目标进化算法GRMODE,设计了新的算法模型并改进了Pareto支配排序等多项关键技术;其次,设计了基于GRMODE算法的交叉口混合交通流高维多目标信号优化控制模型,提供5项控制目标最优的信号控制方案.在南京市交叉口信号控制中的仿真实验结果表明,基于GRMODE算法的控制模型能够使交叉口机动车平均延误、停车次数、通行能力、非机动车平均延误及行人等待时间等多项性能指标同时达到最优,提升交叉口智能信号控制效率.     

动力总成悬置系统多目标优化算法研究

针对现有的动力总成悬置系统解耦率不能满足设计要求的问题,在Adams／view中建立了悬置系统的仿真分析模型,通过多学科设计优化软件Isight与多体动力学软件Adams的集成,分别采用了不同的多目标优化算法进行了悬置系统优化分析。     

昆明市轨道交通高架桥景观设计优化措施

结合昆明轨道交通项目工程实际,阐述了高架桥景观设计总体方案,并以景观细节处理作为切入点,总结了首期工程和6号线工程的经验教训,提出了实用、经济、有效的景观优化措施。     

关于某动力总成悬置支架的优化设计

本文针对某动力总成悬置系统NVH性能道路试验中,全油门缓加速工况受发动机频率激振影响,某悬置主动侧支架发生共振,导致在260Hz左右产生车内结构噪声的情况,采用hypermech-nastran有限元软件建立该悬置支架的有限元模型对其模态进行分析,并根据模态分析结果对该悬置支架设计优化。最后通过道路试验结果验证悬置支架结构设计优化的正确性,可使整车在全油门缓加速工况260Hz附近的振动和车内噪声明显降低。