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Storm surge fragility assessment of above ground storage tanks

机译:地面储罐的风暴潮易损性评估

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This study proposes a dual layer metamodel based approach to develop parameterized fragility functions for above ground storage tanks (ASTs) subjected to hurricane induced storm surge. ASTs are extensively used in petrochemical facilities for storing large volumes of hazardous substances. Failure of ASTs due to storm surge may lead to spills that can cause severe environmental damage and considerable economic loss. A significant number of ASTs are located in coastal areas which are susceptible to hurricanes, such as in the Houston Ship Channel, Texas. However, tank design guidelines are deficient in addressing prevention of surge related failures. Although their vulnerability has been exposed during past hurricanes, the literature lacks studies on performance analysis of ASTs during storm surge events. In this light, a method is presented to derive fragility functions for the most important failure modes of ASTs - flotation and buckling - in addition to the system fragility, considered as series system of failure modes. For this purpose, a novel dual layer metamodel based approach is proposed where a limited number of simulations are used to train the first binary classifier, which predicts failure of tanks, upon which the second meta model is trained; the final metamodel is used to derive parameterized fragility functions. This approach significantly reduces the number of limit state evaluations, which may require costly finite element simulations, and enables accurate fragility assessment to capture the nonlinear behavior of tanks under surge loading, while also considering the correlation between failure modes during system fragility modeling. Results indicated that the fragility estimates of a typical tank obtained with the dual layer metamodel compare well with those derived by high fidelity methods such as Monte Carlo Simulations. In order to demonstrate the application of the parameterized fragility functions to study the effect of variation in design and construction parameters, fragilities of four case study tanks are evaluated. The results highlight the effect of parameter variation on the fragilities and offer insights into the influence of alternative design impacts on tank vulnerability. For example, anchoring tanks significantly reduces the probability of flotation; however, anchoring leads to buckling dominated failures. (C) 2017 Elsevier Ltd. All rights reserved.
机译:这项研究提出了一种基于双层元模型的方法,用于为遭受飓风诱发的风暴潮的地上储罐(AST)开发参数化的脆性函数。 AST在石化设施中广泛用​​于存储大量有害物质。由于风暴潮而导致的AST失效可能会导致泄漏,从而造成严重的环境破坏和可观的经济损失。大量的AST位于易受飓风袭击的沿海地区,例如德克萨斯州的休斯敦船舶航道。但是,油箱设计指南不足以解决与喘振相关的故障。尽管在过去的飓风中已经暴露了它们的脆弱性,但文献缺乏关于风暴潮事件中AST性能分析的研究。有鉴于此,除了系统脆弱性(被认为是故障模式的串联系统)之外,提出了一种方法来推导AST最重要的失效模式(浮选和屈曲)的脆弱性函数。为此,提出了一种新颖的基于双层元模型的方法,其中使用有限数量的模拟来训练第一个二元分类器,该分类器预测坦克的故障,第二个元模型将在该分类器上进行训练。最终的元模型用于导出参数化的脆弱性函数。这种方法显着减少了极限状态评估的次数,这可能需要昂贵的有限元模拟,并且能够进行精确的易损性评估,以捕获罐在冲击载荷下的非线性行为,同时还考虑了系统易损性建模期间故障模式之间的相关性。结果表明,使用双层元模型获得的典型储罐的易碎性估计值与通过高保真度方法(例如蒙特卡洛模拟)得出的估计值相当。为了演示参数化脆弱性函数在研究设计和施工参数变化的影响中的应用,对四个案例研究罐的脆弱性进行了评估。结果突出了参数变化对脆弱性的影响,并为替代设计影响罐的脆弱性提供了见解。例如,锚固槽大大降低了浮选的可能性;但是,锚定会导致屈曲为主的失效。 (C)2017 Elsevier Ltd.保留所有权利。

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