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General approach to risk optimisation of road bridges exposed to accidental situations

机译:暴露在意外情况下的公路桥梁风险优化的一般方法

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Road bridges in accidental situations represent the most vulnerable components of transportation networks. Hazard situations may be caused by natural or man-made hazards such as floods, terrorist attacks or impacts of vehicles. Decisions concerning selection of protective measures can be based on the probabilistic optimisation of expected costs. In general, total structural costs consist of initial cost and consequences due to structural damage and failure. The initial cost comprises of construction cost including cost of protective measures; the failure consequences account for direct costs related to structural failure and indirect costs due to malfunction of transportation network. The paper proposes a general framework for the risk assessment based on Bayesian (causal) networks. The cost optimisation requires data on probability of occurrence and magnitude of selected accidental actions that often need to be based on expert assessments and judgements only. The present study indicates that the probabilistic cost optimisation in conjunction with Bayesian networks provide an effective tool for decisions concerning appropriate protective measures for bridges endangered by various types of hazards.
机译:意外情况下的路桥是交通网络中最脆弱的部分。危险情况可能是由自然或人为危险引起的,例如洪水,恐怖袭击或车辆撞击。关于保护措施选择的决定可以基于预期成本的概率优化。总的来说,总的结构成本包括初始成本以及由于结构损坏和故障而导致的后果。初始成本包括建筑成本,包括防护措施的成本;故障后果是与结构故障有关的直接成本,以及由于运输网络故障而造成的间接成本。本文提出了一种基于贝叶斯(因果)网络的风险评估通用框架。成本优化需要有关发生概率和选定的意外行为的幅度的数据,而这些数据通常仅需要专家评估和判断即可。本研究表明,与贝叶斯网络相结合的概率成本优化为有关各种危险等级的桥梁的适当保护措施的决策提供了有效的工具。

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