Unraveling meso-structural evolution in fiber-reinforced concrete with recycled powder: evidence and insights from X-ray computed tomography (CT) and fractal theory.

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Title: Unraveling meso-structural evolution in fiber-reinforced concrete with recycled powder: evidence and insights from X-ray computed tomography (CT) and fractal theory.
Authors: Li, Xiuling1,2 (AUTHOR) dlutiem@163.com, Ma, Rui2 (AUTHOR), Sun, Haodong2 (AUTHOR), Liu, Rui2 (AUTHOR), Bao, Yi3 (AUTHOR), Wen, Long2 (AUTHOR)
Source: Journal of Sustainable Cement-Based Materials. Jul2025, Vol. 14 Issue 7, p1355-1375. 21p.
Subjects: Computed tomography, Fractal dimensions, Fiber-reinforced concrete, Concrete mixing, Three-dimensional imaging
Abstract: This study investigates the damage behavior of fiber-reinforced concrete incorporating recycled concrete powder (RCP) using X-ray computed tomography (CT) and fractal theory. High-resolution 3D CT imaging was used to quantify internal damages, while fractal theory analyzed damage evolution. Results show that adding 20% RCP and fibers increased the concrete's fractal dimension by 10%, highlighting a notable effect on its damage behavior. A strong correlation between fractal dimensions and crack development suggests that fractal analysis can effectively model damage progression. Based on these findings, a novel damage-strain model is proposed, offering a more accurate assessment of concrete damage under loading. This model can be applied to optimize concrete mix designs and improve damage prediction in structural engineering. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Sustainable Cement-Based Materials is the property of Taylor & Francis Ltd 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
An: 186081951
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PubTypeId: academicJournal
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  Label: Title
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  Data: Unraveling meso-structural evolution in fiber-reinforced concrete with recycled powder: evidence and insights from X-ray computed tomography (CT) and fractal theory.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Xiuling%22">Li, Xiuling</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> dlutiem@163.com</i><br /><searchLink fieldCode="AR" term="%22Ma%2C+Rui%22">Ma, Rui</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Haodong%22">Sun, Haodong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Rui%22">Liu, Rui</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bao%2C+Yi%22">Bao, Yi</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wen%2C+Long%22">Wen, Long</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Sustainable+Cement-Based+Materials%22">Journal of Sustainable Cement-Based Materials</searchLink>. Jul2025, Vol. 14 Issue 7, p1355-1375. 21p.
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  Data: <searchLink fieldCode="DE" term="%22Computed+tomography%22">Computed tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Fractal+dimensions%22">Fractal dimensions</searchLink><br /><searchLink fieldCode="DE" term="%22Fiber-reinforced+concrete%22">Fiber-reinforced concrete</searchLink><br /><searchLink fieldCode="DE" term="%22Concrete+mixing%22">Concrete mixing</searchLink><br /><searchLink fieldCode="DE" term="%22Three-dimensional+imaging%22">Three-dimensional imaging</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study investigates the damage behavior of fiber-reinforced concrete incorporating recycled concrete powder (RCP) using X-ray computed tomography (CT) and fractal theory. High-resolution 3D CT imaging was used to quantify internal damages, while fractal theory analyzed damage evolution. Results show that adding 20% RCP and fibers increased the concrete's fractal dimension by 10%, highlighting a notable effect on its damage behavior. A strong correlation between fractal dimensions and crack development suggests that fractal analysis can effectively model damage progression. Based on these findings, a novel damage-strain model is proposed, offering a more accurate assessment of concrete damage under loading. This model can be applied to optimize concrete mix designs and improve damage prediction in structural engineering. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Sustainable Cement-Based Materials is the property of Taylor & Francis Ltd 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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    Identifiers:
      – Type: doi
        Value: 10.1080/21650373.2025.2502142
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 21
        StartPage: 1355
    Subjects:
      – SubjectFull: Computed tomography
        Type: general
      – SubjectFull: Fractal dimensions
        Type: general
      – SubjectFull: Fiber-reinforced concrete
        Type: general
      – SubjectFull: Concrete mixing
        Type: general
      – SubjectFull: Three-dimensional imaging
        Type: general
    Titles:
      – TitleFull: Unraveling meso-structural evolution in fiber-reinforced concrete with recycled powder: evidence and insights from X-ray computed tomography (CT) and fractal theory.
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            NameFull: Li, Xiuling
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            NameFull: Ma, Rui
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            NameFull: Sun, Haodong
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            NameFull: Liu, Rui
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            NameFull: Bao, Yi
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            NameFull: Wen, Long
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            – D: 01
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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