L型布置内河框架直立式码头结构模态分析*

以重庆某平面布置为“L型”的内河框架直立式码头为依托,采用MIDAS建立空间刚架模型并进行模态分析,提取关键模态分析结构的振型特点.初步探讨其动力特性,为结构设计、振动故障诊断以及结构动态特性的优化设计提供依据.     

基于集对变权特大桥危险品运输安全评价研究

对特大桥危险品运输进行安全评价可有效防止和减少事故的发生.以集对论和变权理论为基础,对长三角区域特大型桥梁进行不良气候条件和紧急事件影响下的危险品运输安全分析,提出影响运输安全的关键因素,运用集对论对各因素进行同一性、差异性和对立性分析,并将集对论与指标权重的惩罚-激励相结合,建立特大桥危险品运输集对变权评价模型,以关联度最大为准则来判定运输安全程度.实例计算表明:评价方法实际有效,可为桥梁运营方提供直接应用和参考.     

一种动车组司机座椅的人机工程评估

采用问卷调查的方式对同一款司机座椅在不同线路上进行调研,获得列车司机对司机座椅的问题反馈,对比分析UIC651:2002和TB/T 3264:2011设计标准,对司机座椅进行了几何适配性分析.在此基础上,针对中国人体尺寸特征,进行了静应力分析和主观性评价.获得了此种司机座椅的适合中国成年男子人体尺寸特征的整改意见.     

Effect of risk preference on the valuation of time charter contracts with extension options

ABSTRACT

The literature on valuation of time charter contracts and real options in shipping generally relies on the complete markets hypothesis and the risk-neutrality of agents. However, these assumptions fail completely in some shipping market segments. This study proposes a numerical approach—based on discounting the certainty equivalent payoff at the risk-free rate—which incorporates the agent’s risk preferences through an exponential utility function. The method comprises an iterative Monte Carlo nested simulation with the real probability measure. This method is applied to a case of Suezmax tankers. The stochastic evolution of the time charter rates is modelled as a geometric mean-reverting process. The case study supports the applicability of the proposed method and evidences that the effect of risk preference may be significant, mainly for more risk-averse agents. Although the method involves intensive computation, it has the benefits of theoretical ease and flexibility, which could encourage utilisation by practitioners.     

Shipping inspections,detentions, and incidents: an empirical analysis of risk dimensions

ABSTRACT

Inspections play a key role in keeping vessels safe. Inspection authorities employ different policies to decide which vessels to inspect, including type of vessel, age, and flag. Attention for vessel history is usually restricted only to past detentions. This paper demonstrates that the correlation between the probabilities of detention and (very serious and serious) incidents is very low and that proactive prevention of future incidents is improved by accounting for both risk dimensions, that is, by combining past incident and detention information for targeting high-risk vessels for inspection. Five combined methods are presented to classify vessels based on these two risk dimensions, each of which involves extensive sets of factors. These combined classification methods have predictive power for future incidents. Depending on the applied inspection rate, incorporation of incident risk improves inspection hit rates for vessels with future incidents by 30–50% compared to using only detention information. It is recommended to focus on vessels where both risks are relatively high. A practical example shows how the methods can be applied for inspection selection and for prioritizing inspection areas defined in terms of eight risk domains that include collisions, groundings, engine and hull failures, loss of life, fire, and pollution.     

A study of factors influencing the severity of road crashes involving drunk drivers and non drunk drivers

In this study, an attempt has been made to develop Multinomial Logit (MNL) model by analysing the drunken and non drunken drivers involved in road crashes on Indian highways. Multinomial Logit model has been deployed to assess the influence of various parameters like vehicular, environment and geometric factors on the set of drivers who were found to be drunk at the time of getting involved in the road crash and those who were not under the influence of alcohol at the time of meeting with the road crash. The total economic cost of road crashes in the case of non-drunk driver road crash is Rs. 1046.27 million whereas in the case of drunk driver road crashes it is estimated to be Rs. 204.50 million. Further, it can be observed that economic cost of drunk driver road crashes is varying from 13 to 19 % across different types of road crashes.     

A fuzzy failure mode and effects approach to analyse concentrated inspection campaigns on board ships

ABSTRACT

Maritime actions against substandard operations of ships are a great deal of memorandum of understanding (MoUs) under regional basis agreements among port state control (PSC) organisations. Herein, concentrated inspection campaigns (CIC), performed by the different members of MoUs in certain periods, are a monitoring strategy to effectively control the core operational matters encountered in fire-safety systems, propulsion and auxiliary machinery system, lifesaving appliances, working conditions on board ships, etc. This paper proposes a quantified maritime safety analysis based on fuzzy failure mode and effects analysis (FMEA) to evaluate CIC database of MoUs in order to achieve advance creative solutions. Demonstration studies are performed on the special database on fire-safety system deficiencies. Since the fuzzy FMEA outcomes point out the risk prioritisation numbers and relevant control options, the paper attempts to transform CIC feedback into useful information in terms of enhancing the ship PSC inspection concept (e-PSC inspection). The paper theoretically contributes to safety analysis methods in literature while demonstration of e-PSC inspections offers an insight into maritime industry in safety improvement.     

Choosing Public Transport—Incorporating Richer Behavioural Elements in Modal Choice Models

The development of behaviourally richer representations of the role of well-established and increasingly important influences on modal choice, such as trip time reliability and accounting for risk attitude and process rules, has moved forward at a fast pace in the context of automobile travel. In the public transport setting, such contributions have, with rare exception, not been considered. In this paper, we discuss and empirically illustrate the merits of advanced modelling developments aimed at improving our understanding of public transport choice, namely the inclusion of reliability in extended expected utility theoretic forms, to recognize risk attitude and perceptual conditioning, the consideration of passenger crowding and its inclusion in linear additive models, and the role of multiple heuristics in representing attribute processing as a way of conditioning modal choice. We illustrate the mechanics of introducing these behaviourally appealing extensions using a modal choice data set collected in Sydney.     

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集成单车风险模型和宏观交通流参数,构建高速公路作业区行车风险评估模型.针对高速公路作业区车辆运行的特殊性,以车辆减速度作为行车风险度量指标,以交通流平均速度、平均车道占有率、速度变异系数等宏观交通流参数表征高速公路作业区行车风险.基于高速公路作业区交通流的仿真试验数据,构建平均行车风险水平和宏观交通流参数之间关系的多元线性回归模型.结果表明,交通流平均速度、平均车道占有率和速度变异系数对作业区平均行车风险水平都存在影响,其中速度变异系数对作业区平均风险水平影响显著.