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Percolation modeling of conductance of self-healing composites

Author

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  • Dementsov, Alexander
  • Privman, Vladimir

Abstract

We explore the conductance of self-healing materials as a measure of the material integrity in the regime of the onset of the initial fatigue. Continuum effective-field modeling and lattice numerical simulations are reported. Our results illustrate the general features of the self-healing process; the onset of the material fatigue is delayed, by developing a plateau-like time-dependence of the material quality. We demonstrate that in this low-damage regime, the changes in the conductance and similar transport/response properties of the material can be used as measures of the material quality degradation.

Suggested Citation

  • Dementsov, Alexander & Privman, Vladimir, 2007. "Percolation modeling of conductance of self-healing composites," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(2), pages 543-550.
    • Handle: RePEc:eee:phsmap:v:385:y:2007:i:2:p:543-550
    DOI: 10.1016/j.physa.2007.07.025
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    Cited by:

    1. Gorshkov, Vyacheslav & Privman, Vladimir & Libert, Sergiy, 2016. "Lattice percolation approach to 3D modeling of tissue aging," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 207-216.
    2. Ren, Minghui & Zhao, Guangsi & Zhou, Guoqing & Qiu, Xianhao & Xue, Qinghua & Chen, Meiting, 2018. "Using strain dynamics for fracture warning of shaft lining," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 406-413.

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