An improved line sampling method and its application based on conditional expectation

Zhao Yan Lü, Zhen Zhou Lü, Lei Gang Zhang, Bo Ren

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

In order to reduce the variance in calculating the reliability and sensitivity with the line sampling method, a total variance formula is subtly employed and a conditional expectation is introduced to improve the traditional method. At the same time, the reliability and sensitivity formulae are respectively transformed into a form that is independent of the dimension of the input variables and then solved by the kernel density estimation method, so that solving the conditional expectation with demanding computation is avoided. The proposed method is applied to some engineering examples with MATLAB software, and the results all show that the improvement in the traditional line sampling method has made an obvious contribution to the convergency and stability of the failure probability and sensitivity.

Original languageEnglish
Pages (from-to)34-39
Number of pages6
JournalGongcheng Lixue/Engineering Mechanics
Volume31
Issue number4
DOIs
StatePublished - Apr 2014

Keywords

  • Conditional expectation
  • Dimension
  • Kernel density estimation
  • Line sampling
  • Variance

Fingerprint

Dive into the research topics of 'An improved line sampling method and its application based on conditional expectation'. Together they form a unique fingerprint.

Cite this