Peridynamics based model of anticrack-type fracture in brittle foams

Abstract A particular failure mode of highly porous brittle materials consists in the propagation of cracks under uniaxial compressive loads. Such ’anticracks’ have been observed in a range of materials, from snow and porous sandstone to brittle foams. Here we present a computational model for the formation and propagation of anticrack-type failure in porous materials within the general computational framework of bond-based peridynamics. Random porosity is represented, on a scale well above the characteristic pore size, by random bond deletion (dilution disorder). We apply our framework to experimental data on anticrack propagation in silicate foams.

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Publication Details

Journal
International Journal of Fracture
Published
2025-05-28
DOI
https://doi.org/10.1007/s10704-025-00860-4
Citations
2
Primary Topic
Numerical methods in engineering
Type
article
Field-Weighted Citation Impact
1.73

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article

Peridynamics based model of anticrack-type fracture in brittle foams

Shucheta Shegufta, Michael Zaiser
2 citations
International Journal of Fracture
Numerical methods in engineering
1.73
article

Peridynamics based model of anticrack-type fracture in brittle foams

Shucheta Shegufta, Michael Zaiser
article en
2 citations

Abstract

Abstract A particular failure mode of highly porous brittle materials consists in the propagation of cracks under uniaxial compressive loads. Such ’anticracks’ have been observed in a range of materials, from snow and porous sandstone to brittle foams. Here we present a computational model for the formation and propagation of anticrack-type failure in porous materials within the general computational framework of bond-based peridynamics. Random porosity is represented, on a scale well above the characteristic pore size, by random bond deletion (dilution disorder). We apply our framework to experimental data on anticrack propagation in silicate foams.

International Journal of FractureVol. 249(3)
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Openalex Percentile: Top 17%
Numerical methods in engineering
1.73
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