Self-Healing Concrete Incorporating Bacterial Spores for Sustainable Infrastructure Development

Tekram Nishad, Dinesh Kumar Sahu · International Academic Institute for Science and Technology · 2026

Self-healing concrete incorporating bacterial spores shows significant potential for enhancing durability and sustainability in infrastructure.

High AI ConfidenceStrong SourceLaboratory ResearchEarly Research

Plain English summary

This study investigates self-healing concrete that uses bacterial spores to repair microcracks and improve its longevity. The research demonstrates that concrete with these spores can recover 32% of its compressive strength and reduce water absorption by 20%, indicating enhanced durability. The findings suggest that this innovative approach could lead to more sustainable infrastructure by minimizing maintenance needs.

Why this matters

Concrete deterioration is a major issue that leads to increased maintenance costs and reduced structural integrity. By using self-healing materials, this research addresses sustainability challenges in the construction sector, potentially lowering environmental impacts and improving the lifespan of infrastructure.

Key findings

  • Self-healing concrete with bacterial spores shows significant healing action.
  • Average recovery in compressive strength was 32%.
  • Water absorption was reduced by 20%.
  • Statistical significance was confirmed with a p-value of less than 0.05.
  • The approach could lead to more sustainable infrastructure solutions.

What's new

The incorporation of bacterial spores into concrete for self-healing purposes is a novel approach to enhancing concrete durability.

Limitations

The study does not address the long-term effects of the self-healing process in various environmental conditions or large-scale applications.

Commercial context

The research is still in the experimental phase and has not yet been tested in large-scale infrastructure projects.

Publication

Publisher
International Academic Institute for Science and Technology
Publication date
March 30, 2026
Research type
Paper

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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