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Two-Dimensional Virtual Microstructure Generation of Particle-Reinforced Composites.

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Title: Two-Dimensional Virtual Microstructure Generation of Particle-Reinforced Composites.
Authors: Yong-Rak Kim1 ykim3@unl.edu, Haft-Javaherian, Mohammad2, Castro, Leandro S.3
Source: Journal of Computing in Civil Engineering. Jan/Feb2016, Vol. 30 Issue 1, p1-11. 11p.
Subjects: Microstructure, Reinforced concrete, Construction materials, Composite-reinforced concrete, Prestressed concrete
Abstract: This paper describes the development and validation of a virtual microstructure generator that can be used to fabricate a virtual, two-dimensional (2D) microstructure of particle-reinforced composites in general, and of asphalt concrete and/or cement concrete mixtures in particular. In the generator, some core geometric characteristics such as aggregate gradation, aggregate volume fraction, and angularity were used to transform data from a three-dimensional (3D) mixture into its 2D microstructure. Resulting virtual microstructures were then compared with real cross-sectional microstructure images obtained from actual samples for validation. Comparison aided with statistical analyses presented a good agreement between the virtual and real microstructures, which demonstrates that the 3D-2D transformation algorithms were properly developed and implemented into the virtual microstructure generator. A properly generated virtual microstructure of the composites can be incorporated with computational microstructure modeling which leads to significant time and cost savings from expensive laboratory fabrication and testing of actual specimens. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Computing in Civil Engineering is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: Two-Dimensional Virtual Microstructure Generation of Particle-Reinforced Composites.
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  Data: <searchLink fieldCode="AR" term="%22Yong-Rak+Kim%22">Yong-Rak Kim</searchLink><relatesTo>1</relatesTo><i> ykim3@unl.edu</i><br /><searchLink fieldCode="AR" term="%22Haft-Javaherian%2C+Mohammad%22">Haft-Javaherian, Mohammad</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Castro%2C+Leandro+S%2E%22">Castro, Leandro S.</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computing+in+Civil+Engineering%22">Journal of Computing in Civil Engineering</searchLink>. Jan/Feb2016, Vol. 30 Issue 1, p1-11. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Microstructure%22">Microstructure</searchLink><br /><searchLink fieldCode="DE" term="%22Reinforced+concrete%22">Reinforced concrete</searchLink><br /><searchLink fieldCode="DE" term="%22Construction+materials%22">Construction materials</searchLink><br /><searchLink fieldCode="DE" term="%22Composite-reinforced+concrete%22">Composite-reinforced concrete</searchLink><br /><searchLink fieldCode="DE" term="%22Prestressed+concrete%22">Prestressed concrete</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper describes the development and validation of a virtual microstructure generator that can be used to fabricate a virtual, two-dimensional (2D) microstructure of particle-reinforced composites in general, and of asphalt concrete and/or cement concrete mixtures in particular. In the generator, some core geometric characteristics such as aggregate gradation, aggregate volume fraction, and angularity were used to transform data from a three-dimensional (3D) mixture into its 2D microstructure. Resulting virtual microstructures were then compared with real cross-sectional microstructure images obtained from actual samples for validation. Comparison aided with statistical analyses presented a good agreement between the virtual and real microstructures, which demonstrates that the 3D-2D transformation algorithms were properly developed and implemented into the virtual microstructure generator. A properly generated virtual microstructure of the composites can be incorporated with computational microstructure modeling which leads to significant time and cost savings from expensive laboratory fabrication and testing of actual specimens. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Computing in Civil Engineering is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1061/(ASCE)CP.1943-5487.0000448
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: Microstructure
        Type: general
      – SubjectFull: Reinforced concrete
        Type: general
      – SubjectFull: Construction materials
        Type: general
      – SubjectFull: Composite-reinforced concrete
        Type: general
      – SubjectFull: Prestressed concrete
        Type: general
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      – TitleFull: Two-Dimensional Virtual Microstructure Generation of Particle-Reinforced Composites.
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              M: 01
              Text: Jan/Feb2016
              Type: published
              Y: 2016
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