期刊
PROBABILISTIC ENGINEERING MECHANICS
卷 37, 期 -, 页码 24-34出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.probengmech.2014.03.011
关键词
Structural reliability analysis; Surrogate models; Kriging interpolation models; Polynomial regression models; Nonlinear finite element analysis
资金
- Portuguese Foundation for Science and Technology (Fundacao para a Ciencia e a Tecnologia - FCT) [SFRH/BPD/85093/2012, PTDC/ECM/115932/2009]
- Fundação para a Ciência e a Tecnologia [SFRH/BPD/85093/2012] Funding Source: FCT
This paper presents an assessment of the efficiency of the Kriging interpolation models as surrogate models for structural reliability problems involving time-consuming numerical models such as nonlinear finite element analysis structural models. The efficiency assessment is performed through a systematic comparison of the accuracy of the failure probability predictions based on the first-order reliability method using the most common first- and second-order polynomial regression models and the Kriging interpolation models as surrogates for the true limit state function. An application problem of practical importance in the field of marine structures that requires the evaluation of a nonlinear finite element structural model is adopted as numerical example. The accuracy of the failure probability predictions is characterised as a function of the number of support points, dispersion of the support points in relation to the so-called design point and order of the Kriging basis functions. It is shown with the application problem considered that the Kriging interpolation models are efficient surrogate models for structural reliability problems and can provide significantly more accurate failure probability predictions as compared with the most common polynomial regression models. (C) 2014 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据