@inproceedings{8ace22dfbe4e448d9ff0a4b8f8503696,
title = "Expectation-maximization method for data-based estimation of the cantilever beam end-to-end problem",
abstract = "This paper describes an uncertainty quantification approach to address the cantilever beam end-to-end problem posed by Sandia National Laboratories. The variations of the deflection at the tip of a beam can be observed under various sources of uncertainties, which include uncertainties in geometry and material properties, systematic and random measurement errors, and loading variability. To this end, in this paper, the probability distribution for the deflection is characterized and its parameters are estimated using the expectation-maximization-based maximum likelihood method.",
author = "Taejin Kim and Guesuk Lee and Sooho Kim and Youn, \{Byeng D.\}",
note = "Publisher Copyright: {\textcopyright} 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; AIAA Non-Deterministic Approaches Conference, 2018 ; Conference date: 08-01-2018 Through 12-01-2018",
year = "2018",
doi = "10.2514/6.2018-1666",
language = "English",
isbn = "9781624105296",
series = "AIAA Non-Deterministic Approaches Conference, 2018",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA Non-Deterministic Approaches",
}