A phase-field modeling approach of fracture propagation in poroelastic media

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Shuwei Zhou
  • Xiaoying Zhuang
  • Timon Rabczuk

Externe Organisationen

  • Bauhaus-Universität Weimar
  • Tongji University
  • Ton Duc Thang University
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)189-203
Seitenumfang15
FachzeitschriftEngineering Geology
Jahrgang240
PublikationsstatusVeröffentlicht - 21 Apr. 2018
Extern publiziertJa

Abstract

This paper proposes a phase field model for fracture in poroelastic media. The porous medium is modeled based on the classical Biot poroelasticity theory and the fracture behavior is controlled by the phase field model. Moreover, the fracture propagation is driven by the elastic energy where the phase field is used as an interpolation function to transit fluid property from the intact medium to the fully broken one. We use a segregated (staggered) scheme and implement our approach in Comsol Multiphysics. The proposed model is verified by a single-phase solid subjected to tension and a 2D specimen subjected to an increasing internal pressure. We also compare our results with analytical solutions. Finally, we show 2D and 3D examples of internal fluid injection to illustrate the capability of the proposed approach.

ASJC Scopus Sachgebiete

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A phase-field modeling approach of fracture propagation in poroelastic media. / Zhou, Shuwei; Zhuang, Xiaoying; Rabczuk, Timon.
in: Engineering Geology, Jahrgang 240, 21.04.2018, S. 189-203.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Zhou S, Zhuang X, Rabczuk T. A phase-field modeling approach of fracture propagation in poroelastic media. Engineering Geology. 2018 Apr 21;240:189-203. doi: 10.1016/j.enggeo.2018.04.008
Zhou, Shuwei ; Zhuang, Xiaoying ; Rabczuk, Timon. / A phase-field modeling approach of fracture propagation in poroelastic media. in: Engineering Geology. 2018 ; Jahrgang 240. S. 189-203.
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N1 - Funding information: The financial support provided by the Sino-German ( CSC-DAAD ) Postdoc Scholarship Program 2016, the Natural Science Foundation of China ( 51474157 ), and RISE-project BESTOFRAC ( 734370 ) is gratefully acknowledged.

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