Emerging Self-Healing Concrete Systems: Improving the Durability and Damage Resistance of Reinforced Concrete through Self-Healing Systems

Firda Herlina, Yuli Panca Asmara, Kushendarsyah Saptaji, Jainal Arifin, Robiatul Adawiyah, Sugi man · Seventh Sense Research Group Journals · 2026

Self-healing concrete systems can enhance durability and sustainability in construction by autonomously repairing cracks.

High AI ConfidenceStrong SourceLaboratory ResearchEarly Research

Plain English summary

This paper discusses self-healing concrete, which can repair itself during its service life, addressing issues like micro-cracks that weaken structures. Various self-healing techniques, such as autogenous healing and bacterial activity, are explored for their potential to improve the longevity and performance of concrete in construction.

Why this matters

Self-healing concrete could significantly reduce maintenance and repair costs in construction, leading to more sustainable building practices. By enhancing the durability of concrete structures, this technology addresses critical challenges in infrastructure resilience and environmental impact.

Key findings

  • Self-healing concrete can repair fissures sustainably and durably.
  • Techniques include autogenous healing, encapsulated agents, and bacterial activity.
  • Self-healing methods can save on maintenance and repair costs.
  • The study explores multi-cycle self-healing and corrosion-resistant reinforcement.
  • Key challenges include laboratory limitations and high costs.

What's new

The study proposes a combined approach to self-healing that addresses existing limitations in current methods.

Limitations

Most studies are laboratory-based, focus on crack closure rather than full structural recovery, and do not consider interactions with steel reinforcement.

Commercial context

Practical application is limited by high costs and the need for further environmental assessments.

Publication

Publisher
Seventh Sense Research Group Journals
Publication date
May 31, 2026
Research type
Paper

Tags

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18