Title: On microstructure-property relationships derived by virtual materials testing with an emphasis on effective conductivity
Authors : Neumann, Matthias
Furat, Orkun
Hlushkou, Dzmitry
Tallarek, Ulrich
Holzer, Lorenz
Schmidt, Volker
Published in : Simulation Science, Communications of Computer and Infromation Technology
Proceedings: Simulation Science : First International Workshop, SimScience 2017, Göttingen, Germany, April 27–28, 2017 : Revised Selected Papers
Pages : 145
Pages to: 158
Conference details: First International Workshop, SimScience 2017, Göttingen, Germany, April 27–28, 2017
Publisher / Ed. Institution : Springer
Publisher / Ed. Institution: Cham
Issue Date: 2018
License (according to publishing contract) : Licence according to publishing contract
Series : Communications in Computer and Information Science
Series volume: 889
Type of review: Peer review (Publication)
Language : English
Subject (DDC) : 003: Systems
620.11: Engineering materials
Abstract: Based on virtual materials testing, which combines image analysis, stochastic microstructure modeling and numerical simulations, quantitative relationships between microstructure characteristics and effective conductivity can be derived. The idea of virtual materials testing is to generate a large variety of stochastically simulated microstructures in short time. These virtual, but realistic microstructures are used as input for numerical transport simulations. Finally, a large data basis is available to study microstructure-property relationships quantitatively by classical regression analysis and tools from statistical learning. The microstructure-property relationships obtained for effective conductivity can also be applied to Fickian diffusion. For validation, we discuss an example of Fickian diffusion in porous silica monoliths on the basis of 3D image data.
Departement: School of Engineering
Organisational Unit: Institute of Computational Physics (ICP)
Publication type: Conference Paper
DOI : 10.1007/978-3-319-96271-9_9
ISBN: 978-3-319-96270-2
978-3-319-96271-9
ISSN: 1865-0929
1865-0937
URI: https://digitalcollection.zhaw.ch/handle/11475/15729
Appears in Collections:Publikationen School of Engineering

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