Evidence map›Paper›PMID 42195642›Full record

ArticleMaterials (Basel, Switzerland)2026

Experimental Evaluation of the Mechanical Healing Performance of Precast Concrete Incorporating Hybrid Capsules Under Load Reapplication for Smart Construction Material.

Yong Jic Kim, Sung-Rok Oh, Myounghwi Kim, Hyung-Suk Kim

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yong Jic KimDepartment of Smart City Construction Convergence Engineering, Daejin University, Pocheon 11159, Republic of Korea.ORCID 0000-0002-9270-1087
Sung-Rok OhR&D Team, Newjust Co., Ltd., Gwangmyeong 14348, Republic of Korea.ORCID 0000-0002-3022-3622
Myounghwi KimDepartment of Smart City Construction Convergence Engineering, Daejin University, Pocheon 11159, Republic of Korea.
Hyung-Suk KimR&D Team, Quotient Time Co., Ltd., Namyangju 12106, Republic of Korea.

Funding

Ministry of Land, Infrastructure and Transport RS-2023-00250434
6 · The paper itself

Abstract

This study experimentally evaluates the mechanical healing performance of precast concrete incorporating hybrid capsules under load reapplication conditions. Hybrid capsule systems are defined as self-healing systems that combine solid capsules (SCs) and liquid capsules (LCs), to enable multi-scale crack healing. In this study, four mix proportions (HC-0, HC-1, HC-3, and HC-5), corresponding to 0%, 1%, 3%, and 5% replacement of fine aggregate by volume with hybrid capsules, were prepared. The hybrid capsules consisted of SCs and LCs in a fixed ratio of 7:3. Among the mixtures, a representative intermediate content (3%) was selected to examine the feasibility of mechanical recovery compared to plain concrete, rather than to determine an optimal dosage. Mechanical recovery was evaluated through compressive and flexural strength tests after preloading and healing periods. The results confirm that the incorporation of hybrid capsules enables partial recovery of mechanical properties after damage. These findings provide preliminary experimental evidence of the feasibility of hybrid capsule systems in precast concrete. Further studies are required to investigate the influence of capsule content and to establish optimal mixture conditions.

Indexed as

durability correlationhybrid capsulesmechanical healing performanceprecast concreteself-healing concretesmart construction applications

Identifiers

PMID42195642
PMCPMC13209126

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.