Detail publikačního výsledku

Simulating heterogeneity within elastic and inelastic mechanical models

RAISINGER, J.; ZHANG, Q.; BOLANDER, J.; ELIÁŠ, J.

Originální název

Simulating heterogeneity within elastic and inelastic mechanical models

Anglický název

Simulating heterogeneity within elastic and inelastic mechanical models

Druh

Článek WoS

Originální abstrakt

Two approaches to incorporate heterogeneity in discrete models are compared. In the first, standard approach, the heterogeneity is dictated by geometrical structure of the discrete system. In the second approach, the heterogeneity is imposed by randomizing material parameters of the contacts between the rigid bodies. A similar randomization strategy is often adopted in continuous homogeneous models. The study investigates both the elastic and fracture behaviors of these model types, and compares their local and macroscale responses. It is found that the stress oscillations present in the standard discrete models built on heterogeneous geometric structures cannot be replicated by randomization of the elastically homogeneous discrete system. The marginal distributions and dependencies between the stress tensor components cannot be adequately matched. Therefore, there is a fundamental difference between these two views on discrete models. The numerical experiments performed in the paper showed that an identical response can be achieved at the macroscale by tuning the material parameters. However, the local behavior, fracturing, and internal dependencies are quite different. These findings provide insight into the potential for controlled random assignment of heterogeneity in homogeneous models. They also demonstrate the need for experimental data capable of verifying the correctness of such an approach.

Anglický abstrakt

Two approaches to incorporate heterogeneity in discrete models are compared. In the first, standard approach, the heterogeneity is dictated by geometrical structure of the discrete system. In the second approach, the heterogeneity is imposed by randomizing material parameters of the contacts between the rigid bodies. A similar randomization strategy is often adopted in continuous homogeneous models. The study investigates both the elastic and fracture behaviors of these model types, and compares their local and macroscale responses. It is found that the stress oscillations present in the standard discrete models built on heterogeneous geometric structures cannot be replicated by randomization of the elastically homogeneous discrete system. The marginal distributions and dependencies between the stress tensor components cannot be adequately matched. Therefore, there is a fundamental difference between these two views on discrete models. The numerical experiments performed in the paper showed that an identical response can be achieved at the macroscale by tuning the material parameters. However, the local behavior, fracturing, and internal dependencies are quite different. These findings provide insight into the potential for controlled random assignment of heterogeneity in homogeneous models. They also demonstrate the need for experimental data capable of verifying the correctness of such an approach.

Klíčová slova

Concrete;Mesoscale;Randomness;Heterogeneity;Stress oscillations;Lattice model

Klíčová slova v angličtině

Concrete;Mesoscale;Randomness;Heterogeneity;Stress oscillations;Lattice model

Autoři

RAISINGER, J.; ZHANG, Q.; BOLANDER, J.; ELIÁŠ, J.

Vydáno

23.09.2025

Nakladatel

Elsevier

ISSN

1873-7315

Periodikum

ENGINEERING FRACTURE MECHANICS

Svazek

326

Číslo

9

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

17

Strany počet

17

URL

Plný text v Digitální knihovně

BibTex

@article{BUT198730,
  author="Jan {Raisinger} and Qiwei {Zhang} and John {Bolander} and Jan {Eliáš}",
  title="Simulating heterogeneity within elastic and inelastic mechanical models",
  journal="ENGINEERING FRACTURE MECHANICS",
  year="2025",
  volume="326",
  number="9",
  pages="1--17",
  doi="10.1016/j.engfracmech.2025.111362",
  issn="0013-7944",
  url="https://www.sciencedirect.com/science/article/pii/S0013794425005636"
}

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