The implicit stabilized dual-horizon peridynamics-based strain gradient damage model

verfasst von: Yehui Bie, Yueguang Wei, Timon Rabczuk, Huilong Ren
Abstract: In this paper, we propose the implicit stabilized dual-horizon peridynamics-based strain gradient damage model (GDH-PD) to describe the cross-scale fracture behavior of materials. To this end, firstly, the strain energy density function of GDH-PD is reformulated by considering the energy compensation to eliminate zero-energy modes of the traditional higher-order peridynamics. And then, the constitutive force state of GDH-PD is derived and explicitly expressed with the help of the proposed special dimension reduction of the nonlocal higher-order tensors. To solve the steady-state crack propagation problems, the implicit GDH-PD is developed by deriving the lower- and higher-order micro-modulus double state, such that the linearization of the equilibrium equation of GDH-PD is established. At last, the bond length-dependent energy-based failure criterion is used to characterize the cross-scale fracture in the form of bond breakage. The effectiveness of GDH-PD to characterize microstructure size effects and macrostructure strain gradient effects are investigated by numerical simulations. The numerical results are in good agreement with the analytical solutions or the available experimental results. We believe that the proposed GDH-PD may pave the way to an increased application of peridynamics to be used in the cross-scale fracture predictions for the advanced material.
Organisationseinheit(en): Institut für Photonik
Externe Organisation(en): Peking University
Bauhaus-Universität Weimar
Typ: Artikel
Journal: Applied mathematical modelling
Band: 128
Seiten: 630-658
Anzahl der Seiten: 29
ISSN: 0307-904X
Publikationsdatum: 04.2024
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Modellierung und Simulation, Angewandte Mathematik
Elektronische Version(en): https://doi.org/10.1016/j.apm.2024.01.040 (Zugang: Geschlossen)

BibTeX

@article{e8d7a7325c084756a7df455b4a1e57ed,
title = "The implicit stabilized dual-horizon peridynamics-based strain gradient damage model",
abstract = "In this paper, we propose the implicit stabilized dual-horizon peridynamics-based strain gradient damage model (GDH-PD) to describe the cross-scale fracture behavior of materials. To this end, firstly, the strain energy density function of GDH-PD is reformulated by considering the energy compensation to eliminate zero-energy modes of the traditional higher-order peridynamics. And then, the constitutive force state of GDH-PD is derived and explicitly expressed with the help of the proposed special dimension reduction of the nonlocal higher-order tensors. To solve the steady-state crack propagation problems, the implicit GDH-PD is developed by deriving the lower- and higher-order micro-modulus double state, such that the linearization of the equilibrium equation of GDH-PD is established. At last, the bond length-dependent energy-based failure criterion is used to characterize the cross-scale fracture in the form of bond breakage. The effectiveness of GDH-PD to characterize microstructure size effects and macrostructure strain gradient effects are investigated by numerical simulations. The numerical results are in good agreement with the analytical solutions or the available experimental results. We believe that the proposed GDH-PD may pave the way to an increased application of peridynamics to be used in the cross-scale fracture predictions for the advanced material.",
keywords = "Cross-scale, Dual-horizon peridynamics, Fracture, Strain gradient, Zero-energy",
author = "Yehui Bie and Yueguang Wei and Timon Rabczuk and Huilong Ren",
note = "Funding Information: This work is supported by the National Natural Science Foundation of China (Grant Nos. 11890681 , 12032001 and 11521202 ). ",
year = "2024",
month = apr,
doi = "10.1016/j.apm.2024.01.040",
language = "English",
volume = "128",
pages = "630--658",
journal = "Applied mathematical modelling",
issn = "0307-904X",
publisher = "Elsevier Inc.",
}