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Multiscale Analysis of Reinforced Concrete Frames with Embedded Metamaterials Under Progressive Collapse.

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Title: Multiscale Analysis of Reinforced Concrete Frames with Embedded Metamaterials Under Progressive Collapse.
Authors: Long, Xu1 (AUTHOR), Samuneti, Christopher1 (AUTHOR), Iyela, Percy M.1 (AUTHOR), Kawkabi, Khaja Wahaajuddin1 (AUTHOR), Ngangura, Prince Manyanya1 (AUTHOR), Fan, Kunjie1 (AUTHOR)
Source: Materials (1996-1944). Jun2026, Vol. 19 Issue 11, p2363. 34p.
Subjects: Progressive collapse, Metamaterials, Reinforced concrete, Auxetic materials, Crack propagation, Multiple scale method, Finite element method, Structural stability
Abstract: Progressive collapse represents a catastrophic failure mode for reinforced concrete (RC) structures, yet the use of architected materials to mitigate this risk remains largely unexplored. This study presents a numerical feasibility investigation of RC beam–column sub-assemblages with auxetic metamaterial inserts embedded in critical joint regions. A hierarchical multiscale framework is developed to link the effective behavior of auxetic metamaterials with structure-scale collapse response. The framework couples macroscale structural analysis with mesoscale fracture simulations through a hybrid voxel–Voronoi discretization strategy. Baseline finite element models are validated against published experimental results for conventional RC specimens, while the auxetic-enhanced configurations are evaluated numerically. Under high tensile strain, the auxetic insert expands laterally because of its negative Poisson's ratio and generates a localized confining stress field within the surrounding concrete. The simulations suggest that this mechanism may promote crack bifurcation, redistribute localized cracking into a more distributed damage pattern, and delay compressive crushing and crack coalescence. Compared with the corresponding conventional RC configurations, the auxetic-enhanced models predict a 25% increase in load redistribution capacity and a 20% enhancement in deformation ductility. These predicted improvements require future experimental validation using physical auxetic-enhanced RC specimens. The findings provide a computational basis for exploring material-by-design strategies aimed at improving the robustness of critical RC joint regions under progressive collapse demands. [ABSTRACT FROM AUTHOR]
Copyright of Materials (1996-1944) is the property of MDPI 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.)
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DbLabel: Engineering Source
An: 194587274
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  Data: Multiscale Analysis of Reinforced Concrete Frames with Embedded Metamaterials Under Progressive Collapse.
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  Data: <searchLink fieldCode="AR" term="%22Long%2C+Xu%22">Long, Xu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Samuneti%2C+Christopher%22">Samuneti, Christopher</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Iyela%2C+Percy+M%2E%22">Iyela, Percy M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kawkabi%2C+Khaja+Wahaajuddin%22">Kawkabi, Khaja Wahaajuddin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ngangura%2C+Prince+Manyanya%22">Ngangura, Prince Manyanya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fan%2C+Kunjie%22">Fan, Kunjie</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Materials+%281996-1944%29%22">Materials (1996-1944)</searchLink>. Jun2026, Vol. 19 Issue 11, p2363. 34p.
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  Data: <searchLink fieldCode="DE" term="%22Progressive+collapse%22">Progressive collapse</searchLink><br /><searchLink fieldCode="DE" term="%22Metamaterials%22">Metamaterials</searchLink><br /><searchLink fieldCode="DE" term="%22Reinforced+concrete%22">Reinforced concrete</searchLink><br /><searchLink fieldCode="DE" term="%22Auxetic+materials%22">Auxetic materials</searchLink><br /><searchLink fieldCode="DE" term="%22Crack+propagation%22">Crack propagation</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+scale+method%22">Multiple scale method</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+stability%22">Structural stability</searchLink>
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  Data: Progressive collapse represents a catastrophic failure mode for reinforced concrete (RC) structures, yet the use of architected materials to mitigate this risk remains largely unexplored. This study presents a numerical feasibility investigation of RC beam–column sub-assemblages with auxetic metamaterial inserts embedded in critical joint regions. A hierarchical multiscale framework is developed to link the effective behavior of auxetic metamaterials with structure-scale collapse response. The framework couples macroscale structural analysis with mesoscale fracture simulations through a hybrid voxel–Voronoi discretization strategy. Baseline finite element models are validated against published experimental results for conventional RC specimens, while the auxetic-enhanced configurations are evaluated numerically. Under high tensile strain, the auxetic insert expands laterally because of its negative Poisson's ratio and generates a localized confining stress field within the surrounding concrete. The simulations suggest that this mechanism may promote crack bifurcation, redistribute localized cracking into a more distributed damage pattern, and delay compressive crushing and crack coalescence. Compared with the corresponding conventional RC configurations, the auxetic-enhanced models predict a 25% increase in load redistribution capacity and a 20% enhancement in deformation ductility. These predicted improvements require future experimental validation using physical auxetic-enhanced RC specimens. The findings provide a computational basis for exploring material-by-design strategies aimed at improving the robustness of critical RC joint regions under progressive collapse demands. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Materials (1996-1944) is the property of MDPI 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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        Value: 10.3390/ma19112363
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      – Code: eng
        Text: English
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        PageCount: 34
        StartPage: 2363
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      – SubjectFull: Progressive collapse
        Type: general
      – SubjectFull: Metamaterials
        Type: general
      – SubjectFull: Reinforced concrete
        Type: general
      – SubjectFull: Auxetic materials
        Type: general
      – SubjectFull: Crack propagation
        Type: general
      – SubjectFull: Multiple scale method
        Type: general
      – SubjectFull: Finite element method
        Type: general
      – SubjectFull: Structural stability
        Type: general
    Titles:
      – TitleFull: Multiscale Analysis of Reinforced Concrete Frames with Embedded Metamaterials Under Progressive Collapse.
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            NameFull: Long, Xu
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            NameFull: Samuneti, Christopher
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            NameFull: Iyela, Percy M.
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            NameFull: Kawkabi, Khaja Wahaajuddin
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            NameFull: Ngangura, Prince Manyanya
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 19
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              Value: 11
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