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A Novel Method to Assess Safety of Buried Pressure Pipelines under Non-Random Process Seismic Excitation based on Cloud Model

机译:基于云模型的非随机过程抗震激励评估埋地压力管道安全的一种新方法

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摘要

It is necessary to conduct a safety assessment for pipelines which are regarded as important lifeline projects after an earthquake. Since the random process of loading in earthquake engineering requires a large amount of samples, this paper establishes a non-random vibration method based on convex model theory and applies it to small sample engineering. Moreover, a space⁻time analytical model of buried pipeline and a finite element model are established to solve the dynamic response of pipelines with non-random process seismic excitation. Furthermore, the randomness of the stress values of the pipeline subjected to earthquake and the fuzziness of the degree of damage to pipelines are considered. Therefore, a novel method for assessing damage to pipelines is proposed based on cloud model. The results indicate that an analysis of non-random vibration combined with the cloud inference method can solve the fuzziness and randomness of the quantitative description and qualitative concept conversion for damage evaluation of pipelines. The method is also an adaptive and effective assessment method for pipelines exposed to earthquake and is able to promote safety management of pipeline engineering.
机译:有必要对水管进行安全评估,这些管道被视为地震后的重要生命线项目。由于地震工程中加载的随机过程需要大量的样品,因此本文建立了基于凸模型理论的非随机振动方法,并将其应用于小型样品工程。此外,建立了埋地管道和有限元模型的空间⁻ime分析模型,以解决管道与非随机过程地震激励的动态响应。此外,考虑了受地震的管道的应力值的随机性以及管道损坏程度的模糊性。因此,基于云模型提出了一种用于评估管道损坏的新方法。结果表明,与云推理方法相结合的非随机振动的分析可以解决定量描述和定性概念转化的模糊和随机性,以便损伤管道评估。该方法还是暴露于地震的管道的适应性和有效的评估方法,能够促进管道工程的安全管理。

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