کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10677763 | 1012381 | 2015 | 40 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An efficient reliability method combining adaptive importance sampling and Kriging metamodel
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: An efficient reliability method combining adaptive importance sampling and Kriging metamodel An efficient reliability method combining adaptive importance sampling and Kriging metamodel](/preview/png/10677763.png)
چکیده انگلیسی
In practice, there are many engineering problems characterized by complex implicit performance functions. Accurate reliability assessment for these problems usually requires very time-consuming computation, and sometimes it is unacceptable. In order to reduce the computational load, this paper proposes an efficient reliability method combining adaptive importance sampling and Kriging model based on the active learning mechanism. It inherits the superiorities of Kriging metamodel, adaptive importance sampling and active learning mechanism, and enables only evaluating the interested samples in actual performance function. The proposed method avoids a large number of time-consuming evaluation processes, and the important samples are mainly predicted by a well-constructed Kriging metamodel, thus the calculating efficiency is increased significantly. Several examples are given as validations, and results show that the proposed method has great advantages in the aspect of both efficiency and accuracy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematical Modelling - Volume 39, Issue 7, 1 April 2015, Pages 1853-1866
Journal: Applied Mathematical Modelling - Volume 39, Issue 7, 1 April 2015, Pages 1853-1866
نویسندگان
Hailong Zhao, Zhufeng Yue, Yongshou Liu, Zongzhan Gao, Yishang Zhang,