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An explicit phase field method for brittle dynamic fracture

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • Huilong Ren
  • Xiaoying Zhuang
  • C. Anitescu
  • Timon Rabczuk

Organisationseinheiten

Externe Organisationen

  • Bauhaus-Universität Weimar
  • Tongji University
  • Ton Duc Thang University
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Details

OriginalspracheEnglisch
Seiten (von - bis)45-56
Seitenumfang12
FachzeitschriftComputers and Structures
Jahrgang217
Frühes Online-Datum28 März 2019
PublikationsstatusVeröffentlicht - Juni 2019

Abstract

In this paper, we propose an explicit phase field model for dynamic brittle fracture. The mechanical field is integrated with a Verlet-velocity scheme, while the phase field is incremented with sub-steps at each step. The sub-stepping is adaptive based on the phase field residual and fast convergence is obtained in a few sub-steps. The numerical difficulty in convergence and the calculation of anisotropic stiffness tensor in the implicit phase field model are avoided in the explicit scheme. The explicit phase field model uses the phase field modulus, rather than the conventional phase field viscosity. The proposed scheme can achieve the same result by the implicit dynamic scheme phase field model. Several numerical examples are presented to validate the explicit method.

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An explicit phase field method for brittle dynamic fracture. / Ren, Huilong; Zhuang, Xiaoying; Anitescu, C. et al.
in: Computers and Structures, Jahrgang 217, 06.2019, S. 45-56.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Ren H, Zhuang X, Anitescu C, Rabczuk T. An explicit phase field method for brittle dynamic fracture. Computers and Structures. 2019 Jun;217:45-56. Epub 2019 Mär 28. doi: 10.1016/j.compstruc.2019.03.005
Ren, Huilong ; Zhuang, Xiaoying ; Anitescu, C. et al. / An explicit phase field method for brittle dynamic fracture. in: Computers and Structures. 2019 ; Jahrgang 217. S. 45-56.
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AU - Ren, Huilong

AU - Zhuang, Xiaoying

AU - Anitescu, C.

AU - Rabczuk, Timon

N1 - Funding Information: The authors acknowledge the supports from the COMBAT Program (Computational Modeling and Design of Lithium-ion Batteries, Grant No. 615132), the National Basic Research Program of China (973 Program: 2011CB013800) and NSFC (51474157), the Ministry of Science and Technology of China (Grant Nos. SLDRCE14-B-28, SLDRCE14-B-31).

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