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Collision Risk Analysis of Chittagong Port in Bangladesh by Using Collision Frequency Calculation Models with Modified BBN Model

机译:用修改BBN模型采用碰撞频率计算模型孟加拉国智大港港的碰撞风险分析

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An updated accident database with 789 overall waterway accidents from 1981-2013 at Chittagong Port (CP) in Bangladesh shows around 48% accidents were collision. In this paper, collision risk in CP is analyzed by constructing collision frequency calculation models that are solved using IWRAP Mk2, software for maritime risk assessment modelling. Causation Probability is evaluated by a localized Bayesian Belief Network (BBN) model on HUGIN Researcher software and used as a direct input of IWRAP Mk2. Suggestion about modification of BBN model’s output is given based on sensitivity analysis followed by an assessment of influence of a newly installed Risk Control Option (RCO) i.e., Vessel Traffic and Management Information System (VTMIS) on probability of collision. The validity of the developed model is shown by comparing between predicted collision probability and historical data. Close proximity between the database data and obtained value has been found regarding collision frequency, vessel types in collision accident, accident prone zones etc. that can be used as a reference for future decision making on safety standard upgrade of CP. Such analysis can be carried out on different ports and channels worldwide to calculate collision risk and ensure safety.
机译:在孟加拉国的Chittagong港口(CP)1981-2013中的一个更新的事故数据库,1981 - 2013年在孟加拉国的意外情况下发生了大约48%的事故。在本文中,通过构建使用iWrap MK2,海上风险评估建模软件解决的碰撞频率计算模型来分析CP的碰撞风险。因果概率由Hugin研究员软件上的局部贝叶斯信仰网络(BBN)模型评估,并用作IWrap MK2的直接输入。基于灵敏度分析给出了关于BBN模型的修改的建议,然后评估了新安装的风险控制选项(RCO)I.,船舶交通和管理信息系统(VTMI)对碰撞概率的影响。通过比较预测的碰撞概率和历史数据来显示开发模型的有效性。在数据库数据和获得的值之间靠近碰撞频率,碰撞事故中的血管类型,意外易发的区域等的易于接近,可用作对CP安全标准升级的未来决策的参考。这种分析可以在全球范围内的不同端口和渠道上进行,以计算碰撞风险并确保安全性。

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