Abstract

This paper presents a microstructure-guided modeling approach to predict the effective elastic response of heterogeneous materials, and demonstrates its application toward two highly heterogeneous, unconventional structural binders, i.e., iron carbonate and fly ash geopolymer. Microstructural information from synchrotron X-ray tomography (XRT) and intrinsic elastic properties of component solid phases from statistical nanoindentation are used as the primary inputs. The virtual periodic 3D microstructure reconstructed using XRT, along with periodic boundary conditions is used as a basis for strain-controlled numerical simulation scheme in the linear elastic range to predict the elastic modulus as well as the stresses in the microstructural phases. The elastic modulus of the composite material predicted from the microstructure-based constitutive modeling approach correlates very well with experimental measurements for both the materials considered. This technique efficiently links the microstructure to mechanical properties of interest and helps develop material design guidelines for novel heterogeneous composites.

Original languageEnglish (US)
Pages (from-to)52-64
Number of pages13
JournalComputational Materials Science
Volume119
DOIs
StatePublished - Jun 15 2016

Fingerprint

Constitutive Modeling
Heterogeneous Materials
Binders
Microstructure
X-ray Tomography
microstructure
Elastic Modulus
Tomography
modulus of elasticity
tomography
Elastic moduli
Coal Ash
Geopolymers
Material Design
Nanoindentation
X rays
Predict
fly ash
composite materials
Carbonates

Keywords

  • Binders
  • Constitutive model
  • Finite element
  • Microstructure
  • Nanoindentation
  • X-ray tomography

ASJC Scopus subject areas

  • Materials Science(all)
  • Chemistry(all)
  • Computer Science(all)
  • Physics and Astronomy(all)
  • Computational Mathematics
  • Mechanics of Materials

Cite this

A microstructure-guided constitutive modeling approach for random heterogeneous materials : Application to structural binders. / Das, Sumanta; Maroli, Amit; Singh, Sudhanshu S.; Stannard, Tyler; Xiao, Xianghui; Chawla, Nikhilesh; Neithalath, Narayanan.

In: Computational Materials Science, Vol. 119, 15.06.2016, p. 52-64.

Research output: Contribution to journalArticle

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abstract = "This paper presents a microstructure-guided modeling approach to predict the effective elastic response of heterogeneous materials, and demonstrates its application toward two highly heterogeneous, unconventional structural binders, i.e., iron carbonate and fly ash geopolymer. Microstructural information from synchrotron X-ray tomography (XRT) and intrinsic elastic properties of component solid phases from statistical nanoindentation are used as the primary inputs. The virtual periodic 3D microstructure reconstructed using XRT, along with periodic boundary conditions is used as a basis for strain-controlled numerical simulation scheme in the linear elastic range to predict the elastic modulus as well as the stresses in the microstructural phases. The elastic modulus of the composite material predicted from the microstructure-based constitutive modeling approach correlates very well with experimental measurements for both the materials considered. This technique efficiently links the microstructure to mechanical properties of interest and helps develop material design guidelines for novel heterogeneous composites.",
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author = "Sumanta Das and Amit Maroli and Singh, {Sudhanshu S.} and Tyler Stannard and Xianghui Xiao and Nikhilesh Chawla and Narayanan Neithalath",
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AU - Das, Sumanta

AU - Maroli, Amit

AU - Singh, Sudhanshu S.

AU - Stannard, Tyler

AU - Xiao, Xianghui

AU - Chawla, Nikhilesh

AU - Neithalath, Narayanan

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AB - This paper presents a microstructure-guided modeling approach to predict the effective elastic response of heterogeneous materials, and demonstrates its application toward two highly heterogeneous, unconventional structural binders, i.e., iron carbonate and fly ash geopolymer. Microstructural information from synchrotron X-ray tomography (XRT) and intrinsic elastic properties of component solid phases from statistical nanoindentation are used as the primary inputs. The virtual periodic 3D microstructure reconstructed using XRT, along with periodic boundary conditions is used as a basis for strain-controlled numerical simulation scheme in the linear elastic range to predict the elastic modulus as well as the stresses in the microstructural phases. The elastic modulus of the composite material predicted from the microstructure-based constitutive modeling approach correlates very well with experimental measurements for both the materials considered. This technique efficiently links the microstructure to mechanical properties of interest and helps develop material design guidelines for novel heterogeneous composites.

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