Calculation of strain amplification matrix for strain invariant failure theory based on representative volume element models with periodical boundary condition

Strain invariant failure theory (SIFT) is a micro-mechanics-based failure theory for multi-scale failure analysis of composite materials originally proposed by Gosse and Christensen. In this paper, the approach for obtaining strain amplification matrix which is a key step for the execution of SIFT is improved by adopting representative volume element (RVE) finite element models considering periodical boundary condition, based on which more actual deformation mode is reflected. The deformation modes and strain data at the characteristic points of the centroid cell of multi-cell RVE model are analyzed and taken as a reference. It can be concluded that more reasonable deformation mode and relationship between the micro-mechanical and macro-mechanical strain states are obtained by employing the new model. Finally, numerical examples are provided to illustrate the determination of strain amplification factors within the RVEs considering periodical boundary condition at the characteristic points.     

Experimental study on performance of combined cambered-type wave absorbing beach

Wave simulation performance and its quality are key factors to reflect the overall capacity and level of an ocean engineering basin. They include wave simulating and absorbing capacity of reflected waves. In order to reduce the influence of reflected waves, various wave absorbing devices are equipped in ocean engineering basins across the world. The experimental investigation into the performance of combined cambered-type wave absorbing beach (CCTWAB) with damping bars equipped in Deepwater Offshore Basin is conducted. The experiment adopts the two-point method. The reflection coefficients are calculated by the method, in which the incident and reflected waves can be separated from the physically simulated composite waves with different periods and wave heights in the time domain. The experimental results indicate that in the range of normal wave heights and periods for model tests, the CCTWAB with damping bars is excellent in eliminating the reflected waves.     

Uncertainty analysis of value for money assessment for public-private partnership projects

In recent years, private sectors are encouraged to take an active part in franchising of urban infrastructure investments and operations, which promotes the rapid development of public-private partnership (PPP) in infrastructure and public service supply. Value for money (VFM) assessment has been officially proposed to provide a reference for selection of projects planning to adopt PPP. Based on the bottlenecks of VFM application in China and the uncertainties for urban infrastructure PPP projects, a discounted cash flow (DCF) model is established for VFM of infrastructure PPP projects. Then, a Monte Carlo simulation model is established on the basis of uncertainty factors for VFM. Through the analysis of Huai’an trams PPP project, coping strategies of uncertainties for VFM are put forward. Findings of the research may propel the establishment of a complete VFM evaluation system for PPP projects. Key instructional functions of VFM during the process of decision-making can be brought into full play and PPP may develop orderly.     

EMP激励下带孔缝金属机箱的屏蔽效能研究

研究理想带孔缝金属机箱在电磁脉冲(EMP)激励下的电场屏蔽效能(SE),对不同结构和不同数量孔缝的耦合结果进行了讨论.耦合电场的分布呈现明显的谐振现象,谐振峰值位于机箱中心区域.对于面积相同的单孔缝,当入射波极化方向与矩形缝短边平行时,矩形缝机箱的屏蔽效能最小,圆孔机箱的屏蔽效能最大.在保持总开孔面积不变的情况下,将较大的单孔缝分解成多个较小的孔缝,可有效增大机箱的屏蔽效能.另外,采用双层屏蔽也可显著提高机箱的屏蔽效能.     

利用CIVIL 3D进行海港工程疏浚设计方法研究

本文在南方某海港工程港池航道工程设计中引入BIM正向设计,利用CIVIL 3D建立了地形曲面和地质曲面模型,建立采样线,对地形曲面、设计曲面、地质曲面进行采样;用断面法进行疏浚工程量计算,用程序自带网格施工图及其他软件等多种方法进行校核以验证计算准确性;通过材质定义,计算不同土类疏浚量并在断面图中表示;在设计完成后,按...     

铁路连续梁桥下部结构地震力计算

结合两座铁路连续梁桥的工程设计,基于反应谱法对连续梁桥下部结构的地震力计算方法进行了对比分析,旨在得出规范简化算法在连续梁中的适用性。对规范简化算法及有限元全桥模型计算方法的参数取值、影响因素及存在问题进行了探讨,在模型误差很小的前提下对比分析了多桥计算结果,得出以下主要结论：（1）主墩墩高接近的连续梁桥纵向地震力计算可采用规范简化算法,固定墩结果偏保守,活动墩结果略小;横向地震力需采用有限元全桥模型进行计算。（2）主墩墩高差异较大的连续梁桥,规范简化算法误差太大。     

Fault diagnosis for singular stochastic systems

This paper studies the fault diagnosis of singular stochastic systems. The probability distribution of output is measured by probability density functions (PDFs), which are modeled by a square root B-spline expansion. An adaptive nonlinear observer is proposed to estimate the size of the fault occurring in systems. Furthermore, the linear matrix inequality (LMI) approach is applied to establish sufficient conditions for the existence of the observer. Finally, the simulation results are given to indicate the method for diagnosing the fault.     

Vocational and academic approaches to maritime education and training (MET): Trends,challenges and opportunities

Traditional seafarer training has always focused on the acquisition and use of practical skills. The prevailing view is that, while this approach addresses a degree of cognitive skills, it focuses on and gives much more emphasis to the acquisition of hands-on practical skills for the performance of specific tasks. On the other hand, academic education has been seen to be much more focused on the development of in-depth analytical and critical thinking skills; cognitive skills that are less reliant on hands-on task-oriented training, but stress critical reading and discussion. The global trend in maritime education and training is increasingly to link an essentially vocational education that provides specific and restricted competence outcomes with more general or deeper academic components leading to an academic qualification. This trend has led to some dilemmas for curriculum development, for training legislation in a global industry, and for achieving desired learning outcomes in a professional setting (in the shipping industry). This paper discusses some of the challenges arising from this trend and the opportunities the trend offers.     

Rapid first-stage tests of on-ship infection

Protection against on-ship infectious disease—whether due to mishap or to harmful purpose—faces special situational problems. Sometimes, when infection levels on board have reached threshold levels, emergency actions are required. Often, the most thorough strategies for responding to threat are not feasible. A rapid first-stage test (RFT) is a fast, minimally invasive procedure used to rule out from possible infection a large percentage of an infection-threatened group. Prevention and control of on-ship infection need to combine various interconnected tactics. When timely criterion tests are not possible, the medical team must adopt fast alternative measures. The methods used to summarize protection against on-ship infectious agents included a scientific literature review and a web search. The fields of the review were maritime, health, and technology sources. Special attention was paid to material dealing with risks and threats of on-ship penetration by infectious agents, on-ship infection prevalence thresholds, and rapid diagnostic screens. The Bayes rule and the law of large numbers were applied to the analysis, for large on-ship populations, of RFT indications of crossing of an infection prevalence threshold. The increasing risk of serious on-ship infection—either accidental or purposeful—calls for a multi-layered protection approach. RFTs are a key part of the outer layer of such a defense. Well-designed and well-administered RFTs provide several advantages for defense against on-ship infection: low-cost, non-invasive, fast, and focuses on a drastically smaller number of infection possibilities.     

Brittleness analysis and important nodes discovery in large time-evolving complex networks

The brittleness analysis and important nodes detection have been a hot spot in the complex networks. How to get the overall feature of the whole network and how to find out some important nodes are requisites to solve these problems. In this paper, we adopt the trace of the adjacency matrix and the centrality of the complex networks to give a quantitative and qualitative analysis of networks being studied. Results show that the k-shell plays a more important role than the degree centrality and the betweenness in finding important nodes, and it can also be used to give direction on the immunization and maintenance of complex networks.