Effectiveness of the random sequential absorption algorithm in the analysis of volume elements with nanoplatelets

[Display omitted] In this work, a study of the Random Sequential Absorption (RSA) algorithm in the generation of nanoplatelet Volume Elements (VEs) is carried out. The effect of the algorithm input parameters on the reinforcement distribution is studied through the implementation of statistical tool...

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Bibliographic Details
Published inComputational materials science Vol. 117; pp. 511 - 517
Main Authors Pontefisso, Alessandro, Zappalorto, Michele, Quaresimin, Marino
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.05.2016
Subjects
A. Volume element
Absorption
Algorithms
B. Statistical analysis
C. Nanoplatelet
Computation
D. Parametric analysis
E. Algorithm
Encryption
Materials science
Nanostructure
Parametric analysis
Reinforcement
C. Nanoplatelet
A. Volume element
E. Algorithm
D. Parametric analysis
B. Statistical analysis
Online AccessGet full text
ISSN0927-0256
1879-0801
DOI10.1016/j.commatsci.2016.02.024

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Summary:[Display omitted] In this work, a study of the Random Sequential Absorption (RSA) algorithm in the generation of nanoplatelet Volume Elements (VEs) is carried out. The effect of the algorithm input parameters on the reinforcement distribution is studied through the implementation of statistical tools, showing that the platelet distribution is systematically affected by these parameters. The consequence is that a parametric analysis of the VE input parameters may be biased by hidden differences in the filler distribution. The same statistical tools used in the analysis are implemented in a modified RSA algorithm to overcome this issue.
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ISSN:0927-0256
1879-0801
DOI:10.1016/j.commatsci.2016.02.024