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.
|Number of pages||10|
|Journal||Transactions of the Korean Society of Mechanical Engineers, A|
|Publication status||Published - 2017 Nov|
Bibliographical notePublisher Copyright:
© 2017 The Korean Society of Mechanical Engineers.
All Science Journal Classification (ASJC) codes
- Mechanical Engineering