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首页> 外文期刊>Reliability Engineering & System Safety >Approximate Bayesian Computation of the occurrence and size of defects in Advanced Gas-cooled nuclear Reactor boilers
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Approximate Bayesian Computation of the occurrence and size of defects in Advanced Gas-cooled nuclear Reactor boilers

机译:先进气冷核反应堆锅炉缺陷的发生和大小的近似贝叶斯计算

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摘要

A campaign of visual inspections was undertaken in 2014 on a specific component of thirty-two Advanced Gas-cooled nuclear Reactor boilers at Hartlepool and Heysham A power stations, as a consequence of an anomalous reading previously obtained in a routine ultrasonic test. While the presence of a crack in Heysham A boiler 1D1 was confirmed, no further defect was detected; not all components could be inspected in all of their eight sections (octants), however, because of the very unfavourable conditions in which the work had to be performed. The occurrence and size of defects in the uninspected octants are here inferred on the basis of models of crack initiation and growth fitted, by Approximate Bayesian Computation, to the results of the campaign. The probability of failure of one or more components in an extreme seismic event is also inferred. (C) 2015 Elsevier Ltd. All rights reserved.
机译:由于先前在常规超声波测试中获得的异常读数,2014年在哈特尔普尔和海瑟姆A电站对32台先进气冷核反应堆锅炉的特定组件进行了视觉检查活动。确认Heysham A锅炉1D1中存在裂纹,但未检测到任何进一步的缺陷。并非所有组件的八个部分(八分之一)都可以进行检查,但是,由于必须执行非常不利的条件。在这里,根据近似贝叶斯计算,根据运动的结果,根据裂纹萌生和扩展的模型推断出未检查的八分之一缺陷的发生和大小。还可以推断出极端地震事件中一个或多个组件发生故障的可能性。 (C)2015 Elsevier Ltd.保留所有权利。

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