Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8235
Main Title: Acquisition of polymorphic uncertain data based on computer tomographic scans and integration in numerical models of adhesive bonds
Author(s): Drieschner, Martin
Petryna, Yuri
Type: Preprint
Language Code: en
Abstract: Since commercial wind turbines were introduced around 1980, the length of rotor blades has increased substantially up to 80m with consequently higher demands on availability and failure prevention. One of the typical failure mechanisms of rotor blades in operation are fatigue cracks in adhesive bonds often caused by air voids with a-priori unknown properties, which results from the manufacturing process. In this contribution, the usage of computer tomography as non-destructive testing (NDT) on a representative sub-component, called the Henkel beam, is proposed for air void detection and quantification. By using the NDT data, structural failure is simulated by means of a finite element approach under polymorphic uncertainties to consider diverse uncertainty sources in the data acquisition. On the one hand, aleatory irreducible uncertainties are described with stochastic variables and on the other hand, interval and fuzzy variables are used for epistemic reducible uncertainties. For solving the problem under polymorphic uncertainties, different computational methods within a MATLAB framework called PolyUQ are used and compared with regard to accuracy and efficiency.
URI: https://depositonce.tu-berlin.de//handle/11303/9146
http://dx.doi.org/10.14279/depositonce-8235
Issue Date: 21-Feb-2019
Date Available: 22-Feb-2019
DDC Class: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Subject(s): data acquisition
aleatory and epistemic uncertainty
polymorphic uncertainty modeling
fuzzy-interval-stochastic finite element approach
structural failure quantification
Datenakquisition
aleatorische und epistemische Unschärfe
polymorphe Unschärfemodellierung
fuzzy-intervall-stochastischer Finite Elemente Ansatz
Strukturversagensquantifizierung
Sponsor/Funder: DFG, 273721697, SPP 1886: Polymorphe Unschärfemodellierungen für den numerischen Entwurf von Strukturen
License: https://creativecommons.org/licenses/by/4.0/
Series: Preprint-Reihe des Fachgebiets Statik und Dynamik, Technische Universität Berlin
Series Number: 2019-01
Appears in Collections:FG Statik und Dynamik » Publications

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