Characterization, synthetic generation, and statistical equivalence of composite microstructures

Seyed Hamid Reza Sanei, Ercole J. Barsotti, David Leonhardt, Ray S. Fertig

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Mechanical behavior and reliability of composites are driven significantly by microstructural variability. Such variability can be present in the form of both morphological and constituent property variability. To understand the effect of this variability on macroscopic mechanical behavior, many statistically equivalent microstructures must be evaluated. This requires the ability to generate such microstructures. In this work, morphological variability was quantified by image analysis of actual microstructures. To reproduce this variability, a methodology was developed in which random microstructures are generated and subsequently adjusted to simultaneously match both short- and long-range statistics of actual microstructures. Synthetic microstructures were generated at a length scale of 70 µm, corresponding to the length scale at which fiber volume fractions of adjacent microstructures are uncorrelated. The utility of this methodology was also demonstrated for larger microstructures containing defects such as alignment fibers, voids and resin seams.

Original languageEnglish (US)
Pages (from-to)1817-1829
Number of pages13
JournalJournal of Composite Materials
Volume51
Issue number13
DOIs
StatePublished - Jun 1 2017

Fingerprint

Microstructure
Composite materials
Fibers
Image analysis
Volume fraction
Resins
Statistics
Defects

All Science Journal Classification (ASJC) codes

  • Ceramics and Composites
  • Mechanics of Materials
  • Mechanical Engineering
  • Materials Chemistry

Cite this

Sanei, Seyed Hamid Reza ; Barsotti, Ercole J. ; Leonhardt, David ; Fertig, Ray S. / Characterization, synthetic generation, and statistical equivalence of composite microstructures. In: Journal of Composite Materials. 2017 ; Vol. 51, No. 13. pp. 1817-1829.
@article{a5d99004f7ff44acb6399e109ae1cd36,
title = "Characterization, synthetic generation, and statistical equivalence of composite microstructures",
abstract = "Mechanical behavior and reliability of composites are driven significantly by microstructural variability. Such variability can be present in the form of both morphological and constituent property variability. To understand the effect of this variability on macroscopic mechanical behavior, many statistically equivalent microstructures must be evaluated. This requires the ability to generate such microstructures. In this work, morphological variability was quantified by image analysis of actual microstructures. To reproduce this variability, a methodology was developed in which random microstructures are generated and subsequently adjusted to simultaneously match both short- and long-range statistics of actual microstructures. Synthetic microstructures were generated at a length scale of 70 µm, corresponding to the length scale at which fiber volume fractions of adjacent microstructures are uncorrelated. The utility of this methodology was also demonstrated for larger microstructures containing defects such as alignment fibers, voids and resin seams.",
author = "Sanei, {Seyed Hamid Reza} and Barsotti, {Ercole J.} and David Leonhardt and Fertig, {Ray S.}",
year = "2017",
month = "6",
day = "1",
doi = "10.1177/0021998316662133",
language = "English (US)",
volume = "51",
pages = "1817--1829",
journal = "Journal of Composite Materials",
issn = "0021-9983",
publisher = "SAGE Publications Ltd",
number = "13",

}

Characterization, synthetic generation, and statistical equivalence of composite microstructures. / Sanei, Seyed Hamid Reza; Barsotti, Ercole J.; Leonhardt, David; Fertig, Ray S.

In: Journal of Composite Materials, Vol. 51, No. 13, 01.06.2017, p. 1817-1829.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Characterization, synthetic generation, and statistical equivalence of composite microstructures

AU - Sanei, Seyed Hamid Reza

AU - Barsotti, Ercole J.

AU - Leonhardt, David

AU - Fertig, Ray S.

PY - 2017/6/1

Y1 - 2017/6/1

N2 - Mechanical behavior and reliability of composites are driven significantly by microstructural variability. Such variability can be present in the form of both morphological and constituent property variability. To understand the effect of this variability on macroscopic mechanical behavior, many statistically equivalent microstructures must be evaluated. This requires the ability to generate such microstructures. In this work, morphological variability was quantified by image analysis of actual microstructures. To reproduce this variability, a methodology was developed in which random microstructures are generated and subsequently adjusted to simultaneously match both short- and long-range statistics of actual microstructures. Synthetic microstructures were generated at a length scale of 70 µm, corresponding to the length scale at which fiber volume fractions of adjacent microstructures are uncorrelated. The utility of this methodology was also demonstrated for larger microstructures containing defects such as alignment fibers, voids and resin seams.

AB - Mechanical behavior and reliability of composites are driven significantly by microstructural variability. Such variability can be present in the form of both morphological and constituent property variability. To understand the effect of this variability on macroscopic mechanical behavior, many statistically equivalent microstructures must be evaluated. This requires the ability to generate such microstructures. In this work, morphological variability was quantified by image analysis of actual microstructures. To reproduce this variability, a methodology was developed in which random microstructures are generated and subsequently adjusted to simultaneously match both short- and long-range statistics of actual microstructures. Synthetic microstructures were generated at a length scale of 70 µm, corresponding to the length scale at which fiber volume fractions of adjacent microstructures are uncorrelated. The utility of this methodology was also demonstrated for larger microstructures containing defects such as alignment fibers, voids and resin seams.

UR - http://www.scopus.com/inward/record.url?scp=85019704632&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85019704632&partnerID=8YFLogxK

U2 - 10.1177/0021998316662133

DO - 10.1177/0021998316662133

M3 - Article

AN - SCOPUS:85019704632

VL - 51

SP - 1817

EP - 1829

JO - Journal of Composite Materials

JF - Journal of Composite Materials

SN - 0021-9983

IS - 13

ER -