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Application of Cokriging Technique to Structural Reliability Analysis

机译:协同克里格技术在结构可靠度分析中的应用

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Approximation techniques are widely used in structural reliability analysis to build computationally inexpensive surrogate models to replace expensive-to-run computer analysis codes. Recently, kriging models are frequently utilized to construct surrogate approximations; however, they may be inefficient for systems having with a large number of design variables. Therefore, a new method-cokriging, which is an extension of kriging for creating surrogate models, is proposed for large-scale systems. In this paper, our intention is to discuss the suitability of cokriging models for structural reliability analysis, especially in high-dimensional problems. First, This paper explores the use of the cokriging method for structural reliability problems by comparing it with the kriging method based on two numerical examples. Secondly, comparisons between the two different database augmenting schemes in the cokriging models are made based on the examples. Finally, this paper suggests the points for which the cokriging model could be improved to get better results for structural reliability problems.
机译:逼近技术被广泛用于结构可靠性分析中,以建立计算上不昂贵的替代模型来代替运行成本高昂的计算机分析代码。最近,克里金模型经常被用来构造替代近似。但是,它们对于具有大量设计变量的系统可能效率不高。因此,针对大型系统,提出了一种新的方法-cokriging,它是kriging用于创建代理模型的扩展。在本文中,我们的目的是讨论协同克里金模型在结构可靠性分析中的适用性,尤其是在高维问题中。首先,通过将其与基于两个数值示例的克里格法进行比较,探索了将克里格法用于结构可靠性问题的方法。其次,基于实例对cokriging模型中的两种不同的数据库扩充方案进行了比较。最后,本文提出了可以改进协同克里金模型以针对结构可靠性问题获得更好结果的要点。

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