机电一体化的液压冲击器模糊控制研究

针对机电一体化的液压冲击器的工作特点,将模糊控制策略引入液压冲击器控制系统中,对液压冲击器的输出参数(冲击能与冲击频率)实现了模糊控制,通过实验采集数据表明,系统控制性能良好,实现了新型液压冲击器预期的工作性能要求。     

独墩单铰支座曲线梁桥通病分析及治理

针对目前独墩单铰支座曲线梁桥出现的通病 ,就温度对其梁体的变位影响以及预应力等因素对其支座支反力的作用进行了实例剖析。在此基础上探讨此类桥梁的支承体系的病害整治对策 ,并通过加固实例的监测结果予以验证     

城市高架桥之高独柱墩横向位移探讨

结合城市高架高独柱墩顶部发生横向位移这一现象,对高独柱墩顶部横向荷载产生的原因进行初步分析,并应用三维非线性屈曲分析,阐述组合荷载所引起的大变形及混凝土徐变效应与墩顶横向位移之间的关系,提出了设计、施工类似结构时应注意的事项。     

Driving cycle prediction model based on bus route features

Bus fuel economy is deeply influenced by the driving cycles, which vary for different route conditions. Buses optimized for a standard driving cycle are not necessarily suitable for actual driving conditions, and, therefore, it is critical to predict the driving cycles based on the route conditions. To conveniently predict representative driving cycles of special bus routes, this paper proposed a prediction model based on bus route features, which supports bus optimization. The relations between 27 inter-station characteristics and bus fuel economy were analyzed. According to the analysis, five inter-station route characteristics were abstracted to represent the bus route features, and four inter-station driving characteristics were abstracted to represent the driving cycle features between bus stations. Inter-station driving characteristic equations were established based on the multiple linear regression, reflecting the linear relationships between the five inter-station route characteristics and the four inter-station driving characteristics. Using kinematic segment classification, a basic driving cycle database was established, including 4704 different transmission matrices. Based on the inter-station driving characteristic equations and the basic driving cycle database, the driving cycle prediction model was developed, generating drive cycles by the iterative Markov chain for the assigned bus lines. The model was finally validated by more than 2 years of acquired data. The experimental results show that the predicted driving cycle is consistent with the historical average velocity profile, and the prediction similarity is 78.69%. The proposed model can be an effective way for the driving cycle prediction of bus routes.     

无线调车机车信号和监控系统实际应用中无线通信解决方案研究

在配有无线调车机车信号和监控系统(STP)的铁路车站,如果站场存在高建筑物、山体、多隧道、特长隧道等特殊情况,会使车地无线通信出现信号弱或者无信号现象。针对这些特殊站场情况,给出几种无线通信解决方案,并在实际工程项目中有效地解决信号弱或者无信号问题。     

海上风电大直径单桩基础固有频率影响因素的数值分析

针对海上风电整机结构其低阶固有频率的控制问题,基于有限元分析技术开展小直径桩土相互作用的数值模拟分析,与试验结果、API规范计算结果进行对比,验证了数值模型的适用性,分析大直径单桩结构桩内土芯、冲刷深度、表层土置换措施对整机固有频率的影响,结果表明,基于有限元实体单元计算所得一、二阶整机固有频率要明显大于传统p-y方法计算结果;桩内土芯对一、二阶整机固有频率影响很小;在一定范围内,随着泥面冲刷深度的增加,一、二阶固有频率降低不明显,认为传统p-y方法对于大直径单桩的适用性有待研究;在实际工程设计中,桩内土芯的影响可忽略;对于大直径单桩,在一定范围内可以忽略冲刷的影响。     

Evaluating sustainability of supply chains by two-stage range directional measure in the presence of negative data

Assessing sustainability of supply chains is a critical and increasingly complex problem. In recent years sustainability has received more attention in supply chain management (SCM) literature with triple bottom lines including social, environmental, and economic factors. Conventional data envelopment analysis (DEA) models consider decision making units (DMUs) as black boxes that consume a set of inputs to produce a set of outputs and do not take into consideration internal interactions of DMUs. Two-stage DEA models deal with such DMUs. However, existing two-stage DEA models are applicable only in technologies characterized by positive inputs/outputs. This paper aims to build and present a new two-stage DEA model considering negative input-intermediate-output data. Some numerical examples along with some theorems and properties are given to show capability of proposed method. The proposed ideas are used in a case study where 29 Iranian supply chains producing equipment of expendable medical devices are evaluated in terms of sustainability.     

A carbon footprint-based closed-loop supply chain model under uncertainty with risk analysis: A case study

The management of products’ end-of-life and the recovery of used products has gained significant importance in recent years. In this paper, we address the carbon footprint-based problem that arises in a closed-loop supply chain where returned products are collected from customers. These returned products can either be disposed of or be remanufactured to be resold as new ones. Given this environment, an optimization model for a closed-loop supply chain (CLSC) in which carbon emission is expressed in terms of environmental constraints, i.e., carbon emission constraints, is developed. These constraints aim to limit the carbon emission per unit of product supplied with different transportation modes. Here, we design a closed-loop network where capacity limits, single-item management and uncertainty on product demands and returns are considered. First, fuzzy mathematical programming is introduced for uncertain modeling. Then, the statistical approach to the possibility to synthesize fuzzy information is utilized. Therefore, using a defined possibilistic mean and variance, we transform the proposed fuzzy mathematical model into a crisp form to facilitate efficient computation and analysis. Finally, the risk caused by violating the estimated resource constraints is analyzed so that decision makers (DMs) can trade off between the expected cost savings and the expected risk. We utilize data from a company located in Iran.     

Reducing CO2 emissions in temperature-controlled road transportation using the LDVRP model

Temperature-controlled transport is needed to maintain the quality of products such as fresh and frozen foods and pharmaceuticals. Road transportation is responsible for a considerable part of global emissions. Temperature-controlled transportation exhausts even more emissions than ambient temperature transport because of the extra fuel requirements for cooling and because of leakage of refrigerant. The transportation sector is under pressure to improve both its environmental and economic performance. To explore opportunities to reach this goal, the Load-Dependent Vehicle Routing Problem (LDVRP) model has been developed to optimize routing decisions taking into account fuel consumption and emissions related to the load of the vehicle. However, this model does not take refrigeration related emissions into account. We therefore propose an extension of the LDVRP model to optimize routing decisions and to account for refrigeration emissions in temperature-controlled transportation systems. This extended LDVRP model is applied in a case study in the Dutch frozen food industry. We show that taking the emissions caused by refrigeration in road transportation can result in different optimal routes and speeds compared with the LDVRP model and the standard Vehicle Routing Problem model. Moreover, taking the emissions caused by refrigeration into account improves the estimation of emissions related to temperature-controlled transportation. This model can help to reduce emissions of temperature-controlled road transportation.     

递进式连锁经营管理专业实践教学改革研究——基于加盟创业项目视角

连锁经营管理专业人才培养目标大多定位在一线服务员或基层管理者，所培养的学生必须具备较强的连锁专业能力和创业能力，而大多数高职院校培养出来的学生在这些方面所表现出来的能力却差强人意，尤其是创业能力方面。本文提出将加盟创业项目贯穿于连锁经营管理实践教学全过程，按照“仿真训练-校内孵化-校内模拟-市场全真”四个阶段，形成一个递进式的实践教学流程，从而促使学生的专业能力和创业能力实现递进式提升。