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    唐山

    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:新加坡国立大学
    • 学位:博士
    • 所在单位:力学与航空航天学院
    • 学科:固体力学. 计算力学. 材料学
    • 办公地点:力学楼303-1
    • 联系方式:18723558261
    • 电子邮箱:shantang@dlut.edu.cn

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    Phase field modeling of fracture in nonlinearly elastic solids via energy decomposition

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    论文类型:期刊论文

    发表时间:2019-04-15

    发表刊物:COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

    收录刊物:SCIE、EI

    卷号:347

    页面范围:477-494

    ISSN号:0045-7825

    关键字:Energy decomposition; Hyperelastic materials; Fracture; Phase field

    摘要:Phase-field models for fracture problems have attracted considerable attention in recent years, which are capable of tracking the discontinuities numerically, and also produce complex crack patterns in many applications. In this paper, a phase-field model for a general nonlinearly elastic material is proposed using a novel additive decomposition of strain energy. This decomposition has two parts: one is principal stretch related and the other solely composed of volumetric deformation, which accounts for different behaviors of fracture in tension and compression. We construct the Lagrangian by integrating the split energies and the separation energy from phase-field approximation for discrete cracks. A coupled system of equations is also derived that governs the deformation of the body and the evolution of phase field. The capability and performance of the proposed model are demonstrated in several representative examples. Our results show that the predicted fracture surfaces are in good agreement with experimental observations. Compared with the previous models in which the energy is simply split into the isochoric and volumetric parts, the present model is numerically more robust and effective in simulating sharp cracks. The present model can also aid researchers to control the degree of tension-compression asymmetry in the nonlinear regime of deformation, which can be naturally extended to simulate the fracture of the rubber-like materials with tension-compression asymmetry. (C) 2018 Elsevier B.V. All rights reserved.