Check-in allocation improvements through the use of a simulation–optimization approach

The aeronautical industry is still under expansion in spite of the problems it is facing due to the increase in oil prices, limited capacity, and novel regulations. The expansion trends translate into problems at different locations within an airport system and are more evident when the resources to cope with the demand are limited or are reaching to theirs limits. In the check-in areas they are appreciated as excessive waiting times which in turn are appreciated by the customers as bad service levels. The article presents a novel methodology that combines an evolutionary algorithm and simulation in order to give the best results taking into account not only the mandatory hard and soft rules determined by the internal policies of an airport terminal but also the quality indicators which are very difficult to include using an abstract representation. The evolutionary algorithm is developed to satisfy the different mandatory restrictions for the allocation problem such as minimum and maximum number of check-in desks per flight, load balance in the check-in islands, opening times of check-in desks and other restrictions imposed by the level of service agreement. Once the solutions are obtained, a second evaluation is performed using a simulation model of the terminal that takes into account the stochastic aspects of the problem such as arriving profiles of the passengers, opening times physical configurations of the facility among other with the objective to determine which allocation is the most efficient in real situations in order to maintain the quality indicators at the desired level.     

Highway alignment optimization through feasible gates

An efficient optimization approach, called feasible gate (FG), is developed to enhance the computation efficiency and solution quality of the previously developed highway alignment optimization (HAO) model. This approach seeks to realistically represent various user preferences and environmentally sensitive areas and consider them along with geometric design constraints in the optimization process. This is done by avoiding the generation of infeasible solutions that violate various constraints and thus focusing the search on the feasible solutions. The proposed method is simple, but improves significantly the model's computation time and solution quality. Such improvements are demonstrated with two test examples from a real road project.     

刚构桥中的高墩计算研究

本文提出了刚构桥中高墩不仅要对单墩进行强度、稳定分析,还要对全桥整体稳定进行分析,并对高墩设计给出了比较完整的、清晰的、方便的计算方法和步骤,供同行参考和借鉴。     

基于进化算法的散货船结构疲劳破损检验计划研究

采用进化算法为优化手段，疲劳累积失效概率为约束条件，检验费用为目标函数，检验时间间隔及检验方式为优化变量，根据船体构件本身的疲劳特性进行疲劳破损检验优化研究，选出检验费用最少的最优检验方案，并给出了计算实例。     

Improving the efficiency of repeated dynamic network loading through marginal simulation

Currently, the applicability of macroscopic Dynamic Network Loading (DNL) models for large-scale problems such as network-wide traffic management, reliability and vulnerability studies, network design, traffic flow optimization and dynamic origin–destination (OD) estimation is computationally problematic. The main reason is that these applications require a large number of DNL runs to be performed. Marginal DNL simulation, introduced in this paper, exploits the fact that the successive simulations often exhibit a large overlap. Through marginal simulation, repeated DNL simulations can be performed much faster by approximating each simulation as a variation to a base scenario. Thus, repetition of identical calculations is largely avoided. The marginal DNL algorithm that is presented, the Marginal Computation (MaC) algorithm, is based on first order kinematic wave theory. Hence, it realistically captures congestion dynamics. MaC can simulate both demand and supply variations, making it useful for a wide range of DNL applications. Case studies on different types of networks are presented to illustrate its performance.     

轨道不平顺分析程序

轨道不平顺是引起车体振动加速度、轮轨作用力和轮轨噪声增大的主要因素之一。车体振动加速度的大小与轨道不平顺具有密切的关系。随着列车速度的提高,对车辆振动影响的轨道不平顺不利波长也随之增长。轮轨噪声中的滚动噪声与轨面短波连续不平顺具有密切关系。轨道不平顺分析程序对轨检车测得的轨道不平顺数据进行处理,得到功率谱密度分布函数。利用此分布函数分析轨道不平顺在各波长的分布;根据测得的车体振动加速度,对轨道不平顺与车体振动加速度进行相干分析,确定引起车辆振动加速度增大的不利波长,以便有针对性地对这些波长的轨道不平顺作重点养护。     

电涡流缓速器制动力矩的计算方法

运用电磁场理论推导了电涡流缓速器的电流密度和制动力矩计算公式，这些计算公式反映了电涡流缓速器各设计参数的相互关系．可用于指导电涡流缓速器的产品开发。     

基于差异演化算法和残差修正的涡轮增压机组防喘振控制

某型船用涡轮增压机组在低负荷运行时压气机容易发生喘振的问题。在涡轮增压机组喘振机理分析的基础上,采用差异演化算法辨识机组的理论喘振边界线,并利用机组出厂试验数据和理论计算结果的残差进行修正,避免采用经验值或理想状态下的实验数据作为辨识依据所造成的误差。在辨识得到的喘振边界线和已有涡轮增压机组模型的基础上,研究某型船用增压锅炉涡轮增压机组在低负荷运行时的喘振特性,并通过仿真实验得到压气机转速、增压比、空气流量与防止喘振的旁通阀最小开度与空气旁通流量之间的关系。结果表明：当压气机转速低于额定转速的8.35%时,必须紧急停机后重新启动;当转速高于额定转速的20.37%时,正常情况下不会出现喘振现象;当转速介于额定转速的8.35%~20.37%时,应保持对应的旁通挡板安全开度。