边坡开挖支护时序有限元分析

为研究公路改扩建工程边坡稳定性的影响因素, 寻求科学的支护方法, 以柳州至南宁高速K1456+800处左侧改扩建边坡为研究对象, 利用ANSYS建立了有限元数值模型, 选择未及时支护和及时支护2种支护方式, 模拟计算了改扩建工程中6级边坡开挖过程中坡体的剪应变增量及水平、竖向位移增量; 为定量分析2种支护条件下边坡开挖过程中位移及应力的变化趋势, 选取了6个特殊节点进行监测, 主要监测内容包括测点的位移(包括水平位移和竖向位移)以及主应力(包括最大主应力和最小主应力)随开挖时步的变化情况。分析结果表明: 无论是否及时支护, 每步剪应变增量最大值均位于坡脚, 但及时支护时, 分布面积及数值较未及时支护时小, 边坡发生失稳的可能性较低; 随着开挖推进, 水平位移增量先减小后小幅增大, 竖向位移增量先急剧增大后缓慢减小, 及时支护下各测点最终位移较未及时支护情况要小; 未及时支护时最终开挖安全系数接近1.0, 及时支护后每步安全系数均大幅提高, 基本大于1.35。综上所述, 及时支护能够有效减小边坡剪切应力, 限制水平与竖向位移, 降低整体应力水平, 提高边坡安全系数, 显著改善坡体稳定性。      

铺缆船用电缆埋设犁土壤挖掘阻力计算

传统的计算埋设犁土壤挖掘阻力的方法一般采用经验公式计算。经验公式依赖丰富的试验数据，且只能适应特定形状和尺寸的埋设犁。由于埋设犁的形状和尺寸各不相同，基于经验公式计算土壤挖掘阻力的方法准确性不高。根据土力学基本原理，在力学分析的基础上，运用数学方法进行公式推导，得到用于计算不同形状尺寸埋设犁挖掘阻力的理论方法，解决依赖经验公式计算土壤挖掘阻力的局限性。     

不同空间结构的有轨电车超级电容热行为

为了减轻有轨电车超级电容模组因温度引起的性能衰减，基于超级电容器的单体结构，研究单体不同空间结构对超级电容模组热行为的影响. 首先，建立超级电容电化学-热耦合模型，并搭建实验平台验证模型的有效性；其次，定义“自然对流换热比表面积”，通过最高温度、最大温差、单体温度波动率和空间利用率4个指标对截面为3 × 6、2 × 9的长方体结构、截面为4 × 4的正方体结构和六面体结构的超级电容模组的温度特性和体积特征进行评估. 研究表明:气流路径的长度、对流换热比表面积以及强制对流换热的单体数量会影响散热的效果，具有短而宽流动路径的空间结构冷却效果更好；正方体结构是冷却效果和均温方面的最优选择；对于空间利用率和冷却效率而言，六面体结构是最佳选择.      

The value of options for time charterparty extension: an artificial neural networks (ANN) approach

The most frequently associated options in the physical shipping market are options to extend the charter period on time charters and additional shipment options on contracts of affreightment. The value of freight options, in practice, is estimated mostly by referring to forward curves. An option on freight has different properties from its financial counterparts, and the straightforward adoption of theoretical models does not produce promising results. In this paper, extension options, which have the property of options on futures, were transformed into regular European options before the application of the Black-Scholes model (BSM). The efficient market hypothesis, which justifies the parity of the performance of a long-term charter to that of repetitive short-term charters, worked as the basis for the transformation. The option values determined by the BSM were compared with actual realized values. Additionally, the artificial neural networks (ANN) was employed to derive the option values. This study is meaningful as the first-time application of both the closed-form solution and the ANN to the valuation of physical freight options. The research results can contribute to the quality of chartering decisions. The results could also be used in quantifying credit risk, as extension options tend to be granted to charterers with more creditability.     

Reliability Modeling and Maintenance Policy Optimization for Deteriorating System Under Random Shock

Performance degradation and random shock are commonly regarded as two dependent competing risks for system failures. One method based on effective service age is proposed to jointly model the cumulative effect of random shock and system degradation, and the reliability model of degradation system under Nonhomogeneous Poisson processes (NHPP) shocks is derived. Under the assumption that preventive maintenance (PM) is imperfective and the corrective maintenance (CM) is minimal repair, one maintenance policy which combines PM and CM is presented. Moreover, the two decision variables, PM interval and the number of PMs before replacement, are determined by a multi-objective maintenance optimization method which simultaneously maximizes the system availability and minimizes the system long-run expect cost rate. Finally, the performance of the proposed maintenance optimization policy is demonstrated via a numerical example.     

Occupant injury risk analysis at NASS/CDS database

Injury information for vehicle occupants from the body regions of the head, thorax, abdomen, and upper and lower extremities, due to the restraints and interior parts of the vehicle, were extracted from the 2009 ~ 2012 NASS/CDS database. For those cases with high occurrence frequency, a detailed and comprehensive data analysis was performed to find the relationship between the accident, occupant, vehicle, and injury data. A numerical frontal impact sled model with the Hybrid III dummy and the GHBMC human body model was constructed to simulate and identify those injury risks according to NASS/CDS. Among the 5,734 injuries to the aforementioned body regions from frontal crashes are, listed by frequency of occurrence, the lower extremity (27.8 %), upper extremity (21.3 %), thorax (15.1 %), face (10.9 %), spine (8.7 %), head (7.3 %), and abdomen (6.9 %). The main injury sources to the head were the windshield, side structure, and steering wheel. For the thorax and abdomen they were the seat belt and steering wheel. For the lower extremity it was the instrument panel. The main injury patterns for the head were the concussion and the contusion. For the thorax they were vessel laceration and lung contusion. For the abdomen they were laceration and contusion of the organs. For the lower extremity they were bone fracture and ligament rupture. The steering wheel and seat positions were main factors affecting head and thorax injury risks. From the sled impact simulation, high injury risks of the head and thorax were assessed respectively at conditions of steering column tilt down and rear most seat position, which correlated well with the findings from the NASS/CDS data analysis.     

Approximate optimal AUTOSAR software components deploying approach for automotive E/E system

The AUTOSAR has been developed as the worldwide standard for automotive E/E software systems, making the electronic components of different suppliers to be employed universally. However, as the number of component-based applications in modern automotive embedded systems grows rapidly and the hardware topology becomes increasingly complex, deploying such large number of components in automotive distributed system in manual way is over-dependent on experience of engineers which in turn is time consuming. Furthermore, the resource limitation and scheduling analysis make the problems more complex for developers to find out an approximate optimal deploying approach in system integration. In this paper, we propose a novel method to deploy the AUTOSAR components onto ECUs with the following features. First, a clustering algorithm is designed for deploying components automatically within relatively low time complexity. Second, a fitness function is designed to balance the ECUs load. The goal of our approach is to minimize the communication cost over all the runnable entities while meeting all corresponding timing constraints and balancing all the ECUs load. The experiment results show that our approach is efficient and has well performance by comparing with other existing methods in specific and synthetic data set.     

“中—尼—印铁路通道”线路设计及建设可行性分析

随着我国"一带一路"倡议的推进,跨国运输通道的建设成为倡议实施的关键环节之一,而我国建设复杂地质条件下跨国基础设施的经验尚不丰富。"中—尼—印铁路通道"是一条途经尼泊尔,连接中国和印度2个大国的运输通道,基于实地考察,分析该通道建设的必要性及建成后的效益,对线路进行初步规划,并总结该通道建设的难点:铁路轨道坡度大;沿线区域地质构造复杂;周边基础设施落后,施工条件恶劣;大量深长隧道以及大跨径高桥梁;环境以及气候条件复杂。同时对沿线隧道以及桥梁的建设可行性进行分析,并给出施工建议:沿线隧道采用以TBM法为主、钻爆法为辅的施工方法;桥梁建设则因地制宜,根据不同区间的地质特点,采用相应的建设方法。     

纵流艏船舶测深仪使用效能研究

长江航道系统的航标船大多采用纵流艏船型,由于其型线的特殊性,使得装在船底的测深仪,在航速大于5km/h时,即不能正常工作显示水深。本课题主要从流体力学、测深原理和船体结构等诸方面进行研究,研制了特殊的组合机构,解决了上述问题,使得测深仪在各种工况下均能准确测量航道,对同类船的改造提供了指导和依据。     

协商民主视域下统一战线发挥作用面临的问题及对策

社会主义协商民主建设是一个过程,统一战线在这一过程中发挥着举足轻重的作用。按照《关于加强社会主义协商民主建设的意见》的要求,目前统一战线还面临着在广泛性、多样性和制度化三个层面与协商民主的要求有一定差距的问题。解决这些问题,需要进一步扩大统一战线的群众基础,进一步丰富协商内容、完善协商形式,进一步完善制度建设,以此来推动统一战线在建设社会主义协商民主进程中发挥更大的作用。