Evaluating the knowledge of experts in the maritime regulatory field

Regulations are introduced by the International Maritime Organization (IMO) into the maritime industry as the result of safety accidents and/or pollution incidents. When there is lack of historical data, then the IMO appoints experts in order to collect information regarding the costs and benefits generated to a stakeholder of the maritime industry once implementing a maritime regulation. Therefore, the role of experts in providing qualitative and quantitative information is crucial with respect to the quality of the maritime regulatory process within the IMO or other regulatory authorities. In this article, a methodology is proposed involving common criteria in determining the expertise of an individual in the maritime regulatory field. As essential part of the research methodology, analytic hierarchy process (AHP) is utilized to determine the expertise of an individual based on his/her own judgements. The regulatory authorities and other stakeholders of the maritime industry may use this method when selecting experts for decision-making. In this article, a simulation is carried showing the potentials of the AHP methodology in expertise evaluation followed by a case study.     

鱼雷定深航行稳定性的分叉分析

鱼雷定深运动方程含有诸多的非线性项，用传统的分析方法对其稳定性进行研究有较大难度。运用非线性科学中的分叉理论，选定鱼雷定深运动方程中的某一流体动力系数扰动值为分叉参数，系统地分析在经典比例微分深度控制系统作用下，鱼雷在退化平衡点处的航行稳定性。利用中心流形定理，推导出系统状态变量解析表达式，对系统 Hopf分叉进行分析，并进行仿真验证。结果表明，流体动力系数变化使定深航行产生 Hopf分叉，并给出了确保鱼雷稳定航行的流体动力参数取值范围。     

Fractional-order-based ACC/CACC algorithm for improving string stability

Traffic flow optimization and driver comfort enhancement are the main contributions of an Adaptive Cruise Control (ACC) system. If communication links are added, more safety and shorter gaps can be reached performing a Cooperative-ACC (CACC). Although shortening the inter-vehicular distances directly improves traffic flow, it can cause string unstable behavior. This paper presents fractional-order-based control algorithms to enhance the car-following and string stability performance for both ACC and CACC vehicle strings, including communication temporal delay effects. The proposed controller is compared with state-of-the-art implementations, exhibiting better performance. Simulation and real experiments have been conducted for validating the approach.     

Distributed MPC for cooperative highway driving and energy-economy validation via microscopic simulations

Traffic congestion and energy issues have set a high bar for current ground transportation systems. With advances in vehicular communication technologies, collaborations of connected vehicles have becoming a fundamental block to build automated highway transportation systems of high efficiency. This paper presents a distributed optimal control scheme that takes into account macroscopic traffic management and microscopic vehicle dynamics to achieve efficiently cooperative highway driving. Critical traffic information beyond the scope of human perception is obtained from connected vehicles downstream to establish necessary traffic management mitigating congestion. With backpropagating traffic management advice, a connected vehicle having an adjustment intention exchanges control-oriented information with immediately connected neighbors to establish potential cooperation consensus, and to generate cooperative control actions. To achieve this goal, a distributed model predictive control (DMPC) scheme is developed accounting for driving safety and efficiency. By coupling the states of collaborators in the optimization index, connected vehicles achieve fundamental highway maneuvers cooperatively and optimally. The performance of the distributed control scheme and the energy-saving potential of conducting such cooperation are tested in a mixed highway traffic environment by the means of microscopic simulations.     

高速公路沥青路面施工质量控制分析

无接缝、平整、行车舒适、噪音低以及振动小、易于养护等优点,使沥青混凝土路面成为我国国内公路面层普遍采用的一种比较好的结构形式。但是如果施工中不能按照施工工艺严格的进行施工质量控制,则很容易导致路面的一系列质量问题,这不仅影响使用功能,还影响影响其社会效益。     

Urban single-lane roundabouts: A new analytical approach using multi-criteria and simultaneous multi-objective optimization of geometry design,efficiency and safety

Building safe and effective roundabouts requires optimizing traffic (operational) efficiency (TE) and traffic safety (TS) while taking into account geometric factors, traffic characteristics and local constraints. Most existing simulation-based optimization models do not simultaneously optimize all these factors. To capture the relationship among geometry, efficiency and safety, we put forward a model formulation in this paper. We present a new multi-criteria and simultaneous multi-objective optimization (MOO) model approach to optimize geometry, TE and TS of urban unsignalized single-lane roundabouts. To the best of our knowledge, this is the first model that uses the multi-criteria decision-making method known as analytic hierarchy process to evaluate and rank traffic parameters and geometric elements of urban single-lane roundabouts. The model was built based on comprehensive review of the research literature and existing roundabout simulation software, a field survey of 61 civil and traffic expert engineers in Croatia, and field studies of roundabouts in the Croatian capital city of Zagreb. We started from the basis of Kimber’s capacity model, HCM2010 serviceability model, and Maycock and Hall's accident prediction model, which we extended by adding sensitivity analysis and powerful MOO procedures of the bounded objective function method and interactive optimization. Preliminary validation of the model was achieved by identifying the optimal and most robust of three geometric alternatives (V.1-V.3) for an unsignalized single-lane roundabout in Zagreb, Croatia. The geometric parameters in variant V.1 had significantly higher values than in the existing design V.0, while approaches 1 and 3 in variant V.2 were enlarged as much as possible within allowed spatial limits and Croatian guidelines, reflecting their higher traffic demand. Sensitivity analysis indicated that variant V.2 showed the overall highest TE and TS across the entire range of traffic flow demand and pedestrian crossing flow demand at approaches. At the same time, the number of predicted traffic accidents was similar for all three variants, although it was lowest overall for V.2. The similarity in predicted accident frequency for the three variants suggests that V.2 provides the greatest safety within the predefined constraints and parameter ranges explored in our study. These preliminary results suggest that the proposed model can optimize geometry, TE and TS of urban single-lane roundabouts.     

混凝土工程中裂缝的起因及控制与处理

对水泥混凝土工程中常见的裂缝问题进行分析,提出了一些预防、控制及处理措施。     

关于大学生心理健康教育课程的几点思考

大学生心理健康教育课程教学的目的是培养学生健康的心理和良好的心理素质,使其在思想认识、知识和技能三个层面学有所获。课程教学应遵循理论与实践相结合、教师讲授与学生体验相结合,通过课堂讲授、小组讨论与典型案例分析、心理素质训练与拓展等体验式教育方法进行教学;采用理论效果评估与实际操作效果评估相结合的方式对课程效果进行评估。     

Integrated vehicle and powertrain optimization for passenger vehicles with vehicle-infrastructure communication

This research proposes an optimal controller to improve fuel efficiency for a vehicle equipped with automatic transmission traveling on rolling terrain without the presence of a close preceding vehicle. Vehicle acceleration and transmission gear position are optimized simultaneously to achieve a better fuel efficiency. This research leverages the emerging Connected Vehicle technology and utilizes present and future information—such as real-time dynamic speed limit, vehicle speed, location and road topography—as optimization input. The optimal control is obtained using the Relaxed Pontryagin’s Minimum Principle. The benefit of the proposed optimal controller is significant compared to the regular cruise control and other eco-drive systems. It varies with the hill length, grade, and the number of available gear positions. It ranges from an increased fuel saving of 18–28% for vehicles with four-speed transmission and 25–45% for vehicles with six-speed transmission. The computational time for the optimization is 1.0–2.1 s for the four-speed vehicle and 1.8–3.9 s for the six-speed vehicle, given a 50 s optimization time horizon and 0.1 s time step. The proposed controller can potentially be used in real-time.     

流线型钢箱梁涡激振动机理与气动控制措施

以某主跨390 m的独塔流线型钢箱梁斜拉桥为工程依托，采用风洞试验与计算流体动力学（Computational Fluid Dynamics，CFD）相结合的方法对流线型钢箱梁涡激振动机理与气动控制措施进行研究。首先，采用几何缩尺比为1∶30的主梁节段模型进行主梁涡振性能与气动控制措施优化研究；其次，采用CFD方法对主梁涡振响应进行流固耦合计算，将Newmark-β算法嵌入ANSYS Fluent用户自定义函数（User Defined Functions，UDFs）实现主梁结构振动响应求解，同时结合动网格技术实现主梁断面流固耦合分析；并根据判断条件来检索箱梁壁面上的网格单元，以获得主梁断面振动过程中的表面压力，然后结合主梁结构振动响应、表面压力以及流场特征等对主梁涡激振动机理进行分析。结果表明：该桥主梁原设计方案存在涡激共振现象，将梁底检修车轨道内移120 cm可有效抑制主梁涡振响应；主梁涡激振动响应的数值模拟结果与风洞试验结果吻合较好；检修车轨道内移120 cm后主要改变了箱梁下表面平均压力系数分布特性，且箱梁表面各测点脉动压力卓越频率不一致，有效减小了主梁涡激振动响应；流线型箱梁靠近迎风侧的“被动区域”对结构涡振响应贡献较小，背风侧“驱动区域”发生周期性旋涡脱落是影响流线型箱梁涡振的主要因素。