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

Alessandro Pontefisso; Michele Zappalorto; Marino Quaresimin

doi:10.1016/j.commatsci.2016.02.024

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

Alessandro Pontefisso, Michele Zappalorto, Marino Quaresimin

University of Padua

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

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.

Original language	English
Journal	Computational Materials Science
Volume	117
Pages (from-to)	511-517
Number of pages	7
ISSN	0927-0256
DOIs	https://doi.org/10.1016/j.commatsci.2016.02.024
Publication status	Published - 2016

Keywords

Materials Science (all)
Chemistry (all)
Computer Science (all)
Physics and Astronomy (all)
Computational Mathematics
Mechanics of Materials
A. Volume element
B. Statistical analysis
C. Nanoplatelet
D. Parametric analysis
E. Algorithm
Algorithms
Statistical mechanics
Filler distribution
Input parameter
Nanoplatelet
Parametric -analysis
Random sequential absorption
Reinforcement distributions
Statistical tools
Volume elements
Parameter estimation

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10.1016/j.commatsci.2016.02.024

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title = "Effectiveness of the random sequential absorption algorithm in the analysis of volume elements with nanoplatelets",

abstract = "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.",

keywords = "Materials Science (all), Chemistry (all), Computer Science (all), Physics and Astronomy (all), Computational Mathematics, Mechanics of Materials, A. Volume element, B. Statistical analysis, C. Nanoplatelet, D. Parametric analysis, E. Algorithm, Algorithms, Statistical mechanics, Filler distribution, Input parameter, Nanoplatelet, Parametric -analysis, Random sequential absorption, Reinforcement distributions, Statistical tools, Volume elements, Parameter estimation",

author = "Alessandro Pontefisso and Michele Zappalorto and Marino Quaresimin",

year = "2016",

doi = "10.1016/j.commatsci.2016.02.024",

language = "English",

volume = "117",

pages = "511--517",

journal = "Computational Materials Science",

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T1 - Effectiveness of the random sequential absorption algorithm in the analysis of volume elements with nanoplatelets

AU - Pontefisso, Alessandro

AU - Zappalorto, Michele

AU - Quaresimin, Marino

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Materials Science (all)

KW - Chemistry (all)

KW - Computer Science (all)

KW - Physics and Astronomy (all)

KW - Computational Mathematics

KW - Mechanics of Materials

KW - A. Volume element

KW - B. Statistical analysis

KW - C. Nanoplatelet

KW - D. Parametric analysis

KW - E. Algorithm

KW - Algorithms

KW - Statistical mechanics

KW - Filler distribution

KW - Input parameter

KW - Nanoplatelet

KW - Parametric -analysis

KW - Random sequential absorption

KW - Reinforcement distributions

KW - Statistical tools

KW - Volume elements

KW - Parameter estimation

U2 - 10.1016/j.commatsci.2016.02.024

DO - 10.1016/j.commatsci.2016.02.024

M3 - Journal article

SN - 0927-0256

VL - 117

SP - 511

EP - 517

JO - Computational Materials Science

JF - Computational Materials Science

ER -

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

Abstract

Keywords

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