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May 26, 2026Polymers0 citationsOpen Access

Finite-Element Analysis of the Quasi-Static Response of Concrete Specimens Containing Polymeric Self-Healing Microcapsules

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TZTodor Zhelyazov

Key Points

  • This research aims to improve models for analyzing self-healing behavior in concrete containing polymer microcapsules.
  • Employs finite element analysis based on continuum damage mechanics.
  • Models were tuned using empirical data.
  • Focuses on the performance of concrete specimens with encapsulated healing agents.
  • Self-healing rate increases more significantly under compression (18.5% to 32% recovery for C25 and C30).
  • Under tension in four-point bending, recovery rates are lower (3.5% for C25 and 5.3% for C30).

Abstract

Healing agent encapsulated in polymeric microcapsules has proven its ability to seal surface and internal cracks. Focused on mitigating the negative impact of capsules on the properties of fresh cement paste and hardened cementitious matrix, uncertainties in self-healing triggering, and poor control of the released quantity, researchers report technological improvements in predominantly experimental studies. However, practical applications will necessitate lightweight models that capture all the characteristics of practical importance. Analysis of the scientific literature reveals the lack of such models adapted for cementitious composites. In this paper, a model rooted in continuum damage mechanics, tuned based on empirical data, is used in the finite element analysis of concrete specimens containing polymer self-healing microcapsules to quantify self-healing efficiency and local damage-healing behavior. The predicted increase in the self-healing rate is more pronounced for specimens subjected to compression compared to that for elements subjected to four-point bending. Thus, for a 20% increase in healing efficiency, strength recovery in compression increases from 18.5% to 32% for C25 and C30, respectively, whereas the corresponding values for tension in the tension-be-flexure setup are 3.5% and 5.3%.

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Todor Zhelyazov (2026) studied this question.

synapsesocial.com/papers/6a153b00b5d9c58d83e8d417https://doi.org/10.3390/polym18111289
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