@inproceedings{2cbfdceef44d4ce5a21d0130b6ebffb9,
title = "Maximum entropy-based uncertainty modeling at the finite element level",
abstract = "A novel approach is proposed for the modeling of uncertainties in finite element models of linear structural or thermal problems. This uncertainty is introduced at the level of each finite element by randomizing the corresponding elemental matrices (e.g., mass, stiffness, conductance) using the maximum entropy concepts. The approach is characterized by only two parameters, one expressing the overall level of uncertainty while the other is the correlation length underlying the random elemental matrices. The approach is exemplified on a structure example developed with Nastran.",
author = "Pengchao Song and Mignolet, {Marc P.}",
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 = "10.2514/6.2018-1657",
language = "English (US)",
isbn = "9781624105296",
series = "AIAA Non-Deterministic Approaches Conference, 2018",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA Non-Deterministic Approaches",
}