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A physical probabilistic model to predict failure rates in buried PVC pipelines

机译:物理概率模型预测埋入式PVC管道的故障率

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For older water pipeline materials such as cast iron and asbestos cement, future pipe failure rates can be extrapolated from large volumes of existing historical failure data held by water utilities. However, for newer pipeline materials such as polyvinyl chloride (PVC), only limited failure data exists and confident forecasts of future pipe failures cannot be made from historical data alone. To solve this problem, this paper presents a physical probabilistic model, which has been developed to estimate failure rates in buried PVC pipelines as they age. The model assumes that under in-service operating conditions, crack initiation can occur from inherent defects located in the pipe wall. Linear elastic fracture mechanics theory is used to predict the time to brittle fracture for pipes with internal defects subjected to combined internal pressure and soil deflection loading together with through-wall residual stress. To include uncertainty in the failure process, inherent defect size is treated as a stochastic variable, and modelled with an appropriate probability distribution. Microscopic examination of fracture surfaces from field failures in Australian PVC pipes suggests that the 2-parameter Weibull distribution can be applied. Monte Carlo simulation is then used to estimate lifetime probability distributions for pipes with internal defects, subjected to typical operating conditions. As with inherent defect size, the 2-parameter Weibull distribution is shown to be appropriate to model uncertainty in predicted pipe lifetime. The Weibull hazard function for pipe lifetime is then used to estimate the expected failure rate (per pipe length/per year) as a function of pipe age. To validate the model, predicted failure rates are compared to aggregated failure data from 17 UK water utilities obtained from the United Kingdom Water Industry Research (UKWIR) National Mains Failure Database. In the absence of actual operating pressure data in the UKWIR database, typical values from Australian water utilities were assumed to apply. While the physical probabilistic failure model shows good agreement with data recorded by UK water utilities, actual operating pressures from the UK is required to complete the model validation.
机译:对于较老的输水管道材料,例如铸铁和石棉水泥,可以从自来水公司保存的大量现有历史故障数据中推断出未来的管道故障率。但是,对于较新的管道材料(例如聚氯乙烯(PVC)),仅存在有限的故障数据,仅凭历史数据就无法对未来的管道故障做出可靠的预测。为了解决这个问题,本文提出了一种物理概率模型,该模型已经开发出来,可以估算埋入式PVC管道老化的故障率。该模型假设在使用中的工作条件下,裂纹可能会由于位于管壁中的固有缺陷而发生。线性弹性断裂力学理论用于预测内部缺陷,内部压力和土壤挠度载荷以及贯穿壁残余应力共同作用的内部缺陷管道的脆性断裂时间。为了在故障过程中包括不确定性,将固有缺陷的大小视为随机变量,并使用适当的概率分布进行建模。对澳大利亚PVC管道中的现场失效造成的断裂表面进行微观检查表明,可以应用2参数威布尔分布。然后,使用蒙特卡洛模拟来估算在典型操作条件下具有内部缺陷的管道的寿命概率分布。与固有缺陷尺寸一样,显示2参数Weibull分布适合于对预测的管道寿命中的不确定性进行建模。然后使用管道寿命的威布尔危害函数来估计预期失效率(每根管道长度/每年)与管道寿命的关系。为了验证该模型,将预测的故障率与从英国水工业研究(UKWIR)国家干线故障数据库获得的17家英国自来水公司的汇总故障数据进行了比较。在UKWIR数据库中没有实际工作压力数据的情况下,假定适用澳大利亚自来水公司的典型值。虽然物理概率故障模型与英国自来水公司记录的数据显示出良好的一致性,但需要英国的实际操作压力来完成模型验证。

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