Evidence map›Paper›PMID 40328859›Full record

ArticleScientific reports2025

Finite element simulation of bacterial self-healing in concrete using microstructural transport and precipitation modeling.

Ajitanshu Vedrtnam, Kishor Kalauni, M T Palou

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Ajitanshu VedrtnamInstitute of Construction and Architecture, Slovak Academy of Science, Bratislava, 84503, Slovakia. ajitanshu.m@invertis.org.
Kishor KalauniInstitute of Construction and Architecture, Slovak Academy of Science, Bratislava, 84503, Slovakia.
M T PalouDepartment of Mechanical Engineering, Invertis University, Bareilly, UP, 243001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria-based self-healing concrete has emerged as a promising solution for enhancing structural durability by autonomously repairing cracks. However, the underlying transport mechanisms of healing agents and the efficiency of mineral precipitation remain inadequately modelled. This study presents a finite element modelling (FEM) approach to simulate the diffusion and reaction kinetics of self-healing bacterial agents in concrete microstructures. X-ray micro-computed tomography (Micro-CT) finite element meshes were utilized to accurately represent crack and pore geometries, while the diffusion-reaction equation governing calcium carbonate (CaCO

Indexed as

BacteriaConstruction MaterialsCalcium CarbonateComputer SimulationDiffusionFinite Element AnalysisX-Ray MicrotomographyCalcium CarbonateBacterial healingCrack closure efficiencyDiffusion-reactionFEniCSFinite element modellingHealing kineticsMicro-CT imagingMineral precipitationSelf-healing concreteTransport properties

Identifiers

PMID40328859
PMCPMC12056202

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.