4.6 Article

Thermo-Mechanical Coupling Model of Bond-Based Peridynamics for Quasi-Brittle Materials

期刊

MATERIALS
卷 15, 期 20, 页码 -

出版社

MDPI
DOI: 10.3390/ma15207401

关键词

bond-based peridynamics theory; quasi-brittle materials; thermo-mechanical coupling; crack propagation

资金

  1. National Natural Science Foundation of China [11972267, 11802214, 12102313, 51932006]
  2. Fundamental Research Funds for the Central Universities [WUT:223114010]

向作者/读者索取更多资源

The mechanical properties of quasi-brittle materials are often influenced by the thermal condition of their service environment, and exhibit different mechanical behaviors under different loading conditions. In this study, a new thermo-mechanical model is proposed to accurately describe the material response and failure mechanism, and numerical simulations demonstrate its validity and reliability.
The mechanical properties of quasi-brittle materials, which are widely used in engineering applications, are often affected by the thermal condition of their service environment. Moreover, the materials appear brittle when subjected to tensile loading and show plastic characteristics under high pressure. These two phenomena manifest under different circumstances as completely different mechanical behaviors in the material. To accurately describe the mechanical response, the material behavior, and the failure mechanism of quasi-brittle materials with the thermo-mechanical coupling effect, the influence of the thermal condition is considered in calculating bond forces in the stretching and compression stages, based on a new bond-based Peridynamic (BB-PD) model. In this study, a novel bond-based Peridynamic, fully coupled, thermo-mechanical model is proposed for quasi-brittle materials, with a heat conduction component to account for the effect of the thermo-mechanical coupling. Numerical simulations are carried out to demonstrate the validity and capability of the proposed model. The results reveal that agreement could be found between our model and the experimental data, which show good reliability and promise in the proposed approach.

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