船舶总纵极限强度模糊可靠性研究

本文以模糊数学和结构可靠性基本理论为基础,分析了传统随机可靠性理论的不足,并在常规模糊可靠性理论研究的基础上,利用模糊集合与普通集合之间的转换关系,研究了模糊变量组合时的可靠性计算方法,拓展了模糊可靠性理论的使用范围.通过对模糊可靠度计算结果分析发现,模糊可靠性理论使设计更加科学,更加符合工程实际;模糊变量组合在船舶总纵极限强度可靠性上的应用,避免了传统计算方法由于变量统计数据不足而导致的偏差,减少了很多繁复的数学运算.算例分析验证了本文方法的准确性和实用性.     

多值非线性系统的自适应控制

提出了带有多值非线性环节的线性离散系统的自适应控制算法，仿真实验的结果表明：该算法简单易行具有明显的优点，跟踪误差比采用一般的自适应控制算法时要小得多，且能保证闭环系统大范围近收敛。     

直流牵引变电所在供电系统运行仿真中的建模

讨论了直流牵引变电所在供电系统运行仿真中的建模问题。直流牵引变电所主要由整流变压器和硅整流器构成。在进行直流牵引供电系统的运行仿真时,将其按戴维南电路建模,其等效内电阻和理想电压源由交流电源和整流机组的参数以及负载情况决定。本文给出了12脉波整流机组的计算实例。     

Estimation of value of travel time reliability

In mode choice decision, travelers consider not only travel time but also reliability of its modes. In this paper, reliability was expressed in terms of standard deviation and maximum delay that were measured based on triangular distribution. In order to estimate value of time and value of reliability, the Multinomial and Nested Logit models were used. The analysis results revealed that reliability is an important factor affecting mode choice decisions. Elasticity is used to estimate the impacts of the different policies and system improvements for water transportation mode. Among these policies, decision maker can assess and select the best alternative by doing the benefit and cost analysis based on a new market share, the value of time, and the value of reliability. Finally, a set of promising policies and system improvement of the water transportation were proposed.     

桩承式路堤土拱效应形成机制离散元模拟

针对桩承式路堤,分别建立二维和三维离散元分析模型,开展土拱形成过程数值模拟。从细观角度研究不同路堤高度条件下桩承式路堤土拱形态和荷载传递机制,获得土拱效应充分发挥条件下的土体沉降模式,其模式呈现为椭圆形拱状。二维分析结果表明,当路堤填土高度达到一定值时,其高度约为0.8倍桩净距。由于二维土拱模型只能反映一个截面上的土拱效应,因而高估了路堤荷载传递效率。相比二维Trapdoor分析结果,三维条件下土拱效应充分发挥时所需的桩-土差异沉降更大,桩顶和桩间土压力随差异沉降的变化速率更慢,荷载传递效率更低且受填土高度影响更高。     

论隧道洞口仰坡的风险评估与管理

在分析、总结风险评估理论的基础上,结合模糊数学多级综合评判理论,建立了隧道洞口仰坡施工期间破坏失稳的概率模型。同时将计算结果引入到风险评估理论中,把失稳概率和风险计算过程结合起来,并尝试建立评价隧道施工期间洞口仰坡的风险评估模型,在此基础上又提出了仰坡风险管理的几种手段,期望能够对隧道施工减灾有一定的借鉴。     

公路工程造价快速测算方法及其应用

在总结和分析各种工程造价估测方法的基础上，构建了基于模糊理论和造价管理系统之上的造价快速估测模型，并给出了其计算步骤和估测实例，可用于公路工程造价的快速测算。     

Consumer preferences and willingness to pay for advanced vehicle technology options and fuel types

The automotive industry is witnessing a revolution with the advent of advanced vehicular technologies, smart vehicle options, and fuel alternatives. However, there is very limited research on consumer preferences for such advanced vehicular technologies. The deployment and penetration of advanced vehicular technologies in the marketplace, and planning for possible market adoption scenarios, calls for the collection and analysis of consumer preference data related to these emerging technologies. This study aims to address this need, offering a detailed analysis of consumer preference for alternative fuel types and technology options using data collected in stated choice experiments conducted on a sample of consumers from six metropolitan cities in South Korea. The results indicate that there is considerable heterogeneity in consumer preferences for various smart technology options such as wireless internet, vehicle connectivity, and voice command features, but relatively less heterogeneity in the preference for smart vehicle applications such as real-time traveler information on parking and traffic conditions.     

Large-scale dynamic transportation network simulation: A space-time-event parallel computing approach

This paper describes a computationally efficient parallel-computing framework for mesoscopic transportation simulation on large-scale networks. By introducing an overall data structure for mesoscopic dynamic transportation simulation, we discuss a set of implementation issues for enabling flexible parallel computing on a multi-core shared memory architecture. First, we embed an event-based simulation logic to implement a simplified kinematic wave model and reduce simulation overhead. Second, we present a space-time-event computing framework to decompose simulation steps to reduce communication overhead in parallel execution and an OpenMP-based space-time-processor implementation method that is used to automate task partition tasks. According to the spatial and temporal attributes, various types of simulation events are mapped to independent logical processes that can concurrently execute their procedures while maintaining good load balance. We propose a synchronous space-parallel simulation strategy to dynamically assign the logical processes to different threads. The proposed method is then applied to simulate large-scale, real-world networks to examine the computational efficiency under different numbers of CPU threads. Numerical experiments demonstrate that the implemented parallel computing algorithm can significantly improve the computational efficiency and it can reach up to a speedup of 10 on a workstation with 32 computing threads.     

高等数学教学中学生数学思维能力的培养

高等数学作为大学的一门基础课程和必修课程,对于学生逻辑思维能力、抽象概括能力以及推理能力都有很大的帮助,同时,高等数学与其他的专业课程密不可分,只有这个基础打好了,才能使其他课程的学习更加顺利。教师在教学过程中,要积极地引导学生思考,提出问题让学生解决,督促学生勤于思考,培养他们的数学思维能力。