Characterization of microstructures using contour tree connectivity for fluid flow analysis

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Characterization of microstructures using contour tree connectivity for fluid flow analysis. / Aydogan, Dogu Baran; Hyttinen, Jari.

julkaisussa: Journal of the Royal Society Interface, Vuosikerta 11, Nro 95, 20131042, 06.06.2014.

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

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Bibtex - Lataa

@article{e3089b344ffd46938e9228319fc176ce,
title = "Characterization of microstructures using contour tree connectivity for fluid flow analysis",
abstract = "Quantifying the connectivity of material microstructures is important for a wide range of applications from filters to biomaterials. Currently, the most used measure of connectivity is the Euler number, which is a topological invariant. Topology alone, however, is not sufficient for most practical purposes. In this study,we use our recently introduced connectivity measure, called the contour tree connectivity (CTC), to study microstructures for flow analysis. CTC is a new structural connectivity measure that is based on contour trees and algebraic graph theory. To test CTC, we generated a dataset composed of 120 samples and six different types of artificial microstructures. We compared CTC against the Euler parameter (EP), the parameter for connected pairs, the nominal opening dimension (dnom) and the permeabilities estimated using direct pore scale modelling. The results show that d nom is highly correlated with permeability (R2 = 0.91), but cannot separate the structural differences. The groups are best classified with feature combinations that include CTC. CTC provides new information with a different connectivity interpretation that can be used to analyse and design materials with complex microstructures.",
keywords = "Connectivity, Image analysis, Microstructure, Structure-property relationship, Three-dimensional characterization",
author = "Aydogan, {Dogu Baran} and Jari Hyttinen",
year = "2014",
month = "6",
day = "6",
doi = "10.1098/rsif.2013.1042",
language = "English",
volume = "11",
journal = "Journal of the Royal Society Interface",
issn = "1742-5689",
publisher = "Royal Society of London",
number = "95",

}

RIS - Lataa

TY - JOUR

T1 - Characterization of microstructures using contour tree connectivity for fluid flow analysis

AU - Aydogan, Dogu Baran

AU - Hyttinen, Jari

PY - 2014/6/6

Y1 - 2014/6/6

N2 - Quantifying the connectivity of material microstructures is important for a wide range of applications from filters to biomaterials. Currently, the most used measure of connectivity is the Euler number, which is a topological invariant. Topology alone, however, is not sufficient for most practical purposes. In this study,we use our recently introduced connectivity measure, called the contour tree connectivity (CTC), to study microstructures for flow analysis. CTC is a new structural connectivity measure that is based on contour trees and algebraic graph theory. To test CTC, we generated a dataset composed of 120 samples and six different types of artificial microstructures. We compared CTC against the Euler parameter (EP), the parameter for connected pairs, the nominal opening dimension (dnom) and the permeabilities estimated using direct pore scale modelling. The results show that d nom is highly correlated with permeability (R2 = 0.91), but cannot separate the structural differences. The groups are best classified with feature combinations that include CTC. CTC provides new information with a different connectivity interpretation that can be used to analyse and design materials with complex microstructures.

AB - Quantifying the connectivity of material microstructures is important for a wide range of applications from filters to biomaterials. Currently, the most used measure of connectivity is the Euler number, which is a topological invariant. Topology alone, however, is not sufficient for most practical purposes. In this study,we use our recently introduced connectivity measure, called the contour tree connectivity (CTC), to study microstructures for flow analysis. CTC is a new structural connectivity measure that is based on contour trees and algebraic graph theory. To test CTC, we generated a dataset composed of 120 samples and six different types of artificial microstructures. We compared CTC against the Euler parameter (EP), the parameter for connected pairs, the nominal opening dimension (dnom) and the permeabilities estimated using direct pore scale modelling. The results show that d nom is highly correlated with permeability (R2 = 0.91), but cannot separate the structural differences. The groups are best classified with feature combinations that include CTC. CTC provides new information with a different connectivity interpretation that can be used to analyse and design materials with complex microstructures.

KW - Connectivity

KW - Image analysis

KW - Microstructure

KW - Structure-property relationship

KW - Three-dimensional characterization

UR - http://www.scopus.com/inward/record.url?scp=84901413085&partnerID=8YFLogxK

U2 - 10.1098/rsif.2013.1042

DO - 10.1098/rsif.2013.1042

M3 - Article

C2 - 24671931

AN - SCOPUS:84901413085

VL - 11

JO - Journal of the Royal Society Interface

JF - Journal of the Royal Society Interface

SN - 1742-5689

IS - 95

M1 - 20131042

ER -

ID: 29135126