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Dynamic reliability and variance-based global sensitivity analysis of pipes conveying fluid with both random and convex variables

机译:随机凸变量输送流体管道的动态可靠性和方差全局敏感性分析

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Purpose This paper aims to solve the problem that pipes conveying fluid are faced with severe reliability failures under the complicated working environment. Design/methodology/approach This paper proposes a dynamic reliability and variance-based global sensitivity analysis (GSA) strategy with non-probabilistic convex model for pipes conveying fluid based on the first passage principle failure mechanism. To illustrate the influence of input uncertainty on output uncertainty of non-probability, the main index and the total index of variance-based GSA analysis are used. Furthermore, considering the efficiency of traditional simulation method, an active learning Kriging surrogate model is introduced to estimate the dynamic reliability and GSA indices of the structure system under random vibration. Findings The variance-based GSA analysis can measure the effect of input variables of convex model on the dynamic reliability, which provides useful reference and guidance for the design and optimization of pipes conveying fluid. For designers, the rankings and values of main and total indices have essential guiding role in engineering practice. Originality/value The effectiveness of the proposed method to calculate the dynamic reliability and sensitivity of pipes conveying fluid while ensuring the calculation accuracy and efficiency in the meantime.
机译:目的本文旨在解决在复杂的工作环境下的严重可靠性故障面临输送流体的问题。设计/方法/方法本文提出了一种具有基于非概率凸模型的动态可靠性和基于方差的全局敏感性分析(GSA)策略,用于基于第一通道原理故障机制传送流体的管道输送流体。为了说明输入不确定性对不概率输出不确定性的影响,使用主要指标和基于方差的GSA分析的总指标。此外,考虑到传统仿真方法的效率,引入了一种主动学习Kriging代理模型,以估计随机振动下结构系统的动态可靠性和GSA指标。结果表明基于方差的GSA分析可以测量凸模型输入变量对动态可靠性的影响,为输送流体管道的设计和优化提供了有用的参考和指导。对于设计人员来说,主要和总索引的排名和价值在工程实践中具有基本的指导作用。原创性/值建议方法的有效性来计算输送流体管道的动态可靠性和灵敏度,同时确保在该计算精度和效率的同时。

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