Statistical effective interval determination and reliability assessment of input variables under aleatory uncertainties

Minho Joo, Jaehyeok Doh, Sukyo Choi, Jongsoo Lee

Research output: Contribution to journalArticle

1 Citation (Scopus)


Data points obtained by conducting repetitive experiments under identical environmental conditions are, theoretically, required to correspond. However, experimental data often display variations due to generated errors or noise resulting from various factors and inherent uncertainties. In this study, an algorithm aiming to determine valid bounds of input variables, representing uncertainties, was developed using probabilistic and statistical methods. Furthermore, a reliability assessment was performed to verify and validate applications of this algorithm using bolt-fastening friction coefficient data in a sample application.

Original languageEnglish
Pages (from-to)1099-1108
Number of pages10
JournalTransactions of the Korean Society of Mechanical Engineers, A
Issue number11
Publication statusPublished - 2017 Nov


All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

Cite this