Application of alginate-based epoxy microcapsule in self-healing concrete

Danyang Zhao, Jia-ao Hou, Yishuang Zhang, Yu Li, Cheuk Lun Chow, Denvid Lau · Asian Concrete Federation · 2025

A novel alginate-based microcapsule system enables autonomous crack healing in concrete, enhancing durability and structural integrity.

High AI ConfidenceStrong SourceLaboratory ResearchEarly Research

Plain English summary

This study presents a new type of microcapsule made from calcium alginate and epoxy designed for self-healing concrete. When cracks form, these microcapsules rupture and release epoxy to repair the damage autonomously. The microcapsules showed excellent thermal stability and core retention, contributing to significant strength recovery in concrete after healing.

Why this matters

Concrete structures often suffer from microcracks that can lead to serious durability issues. This self-healing approach reduces the need for manual repairs, potentially lowering maintenance costs and extending the lifespan of concrete structures. It represents a sustainable solution to a common problem in construction.

Key findings

  • Developed alginate-based microcapsules for self-healing concrete.
  • Microcapsules showed excellent thermal stability and core retention.
  • Achieved a compressive strength recovery rate of 145.4% after 7 days.
  • Molecular dynamics simulations revealed the crosslinking process.
  • Provides a sustainable and cost-effective method to enhance structural durability.

What's new

The use of alginate-based microcapsules for autonomous crack healing in concrete is a new approach that enhances durability without manual intervention.

Limitations

The abstract does not provide details on the long-term performance or scalability of the microcapsule system in real-world applications.

Commercial context

The technology is still in the experimental phase and has not yet been commercialized.

Publication

Publisher
Asian Concrete Federation
Publication date
December 27, 2025
Research type
Paper
License
https://creativecommons.org/licenses/by/4.0

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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