Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-11094
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Main Title: PolyUQ: framework for solving problems with polymorphic uncertainties
Author(s): Drieschner, Martin
Eichner, Lukas
Seiffarth, Friedrich
Petryna, Yuri
Type: Preprint
Language Code: en
Abstract: The consideration of aleatory and epistemic uncertainties is an important challenge in structural engineering problems, especially from the viewpoint of realistic analysis. Inaccuracy and variability are always present and have to be quantified by either probabilistic, possibilistic, polymorphic or other uncertainty approaches. Thus, the authors have developed the framework PolyUQ in MATLAB for solving problems in which uncertainties in the fuzzy space, the interval space and the stochastic space can be treated simultaneously. The workflow from defining uncertain input variables to solving the model and up to evaluating the uncertain output is presented in this contribution.
URI: https://depositonce.tu-berlin.de/handle/11303/12219
http://dx.doi.org/10.14279/depositonce-11094
Issue Date: 5-Jan-2021
Date Available: 7-Jan-2021
DDC Class: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Subject(s): polymorphic uncertainties
MATLAB
stochastic variables
interval variables
fuzzy variables
polymorphe Unschärfe
MATLAB
stochastische Variablen
Intervallvariablen
Fuzzyvariablen
Sponsor/Funder: DFG, 312928137, Mehrskalige Versagensanalyse unter polymorphen Unsicherheiten für den optimalen Entwurf von Rotorblättern
License: https://creativecommons.org/licenses/by/4.0/
Series: Preprint-Reihe des Fachgebiets Statik und Dynamik, Technische Universität Berlin
Series Number: 2021-01
Appears in Collections:FG Statik und Dynamik » Publications

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