Evidence map›Paper›PMID 42484332›Full record

ArticleMicrobiology spectrum2026

Development of self-healing model of rock fracture for PFC simulation.

Yingying Hu, Jifan Liu, Dehu Wang, Weitao Liu, Shuai Zhang

Abstract read
In one paragraph

Article in Microbiology spectrum, 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

5 authors.

Yingying HuShandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta, Shandong University of Aeronautics, Bin zhou, China.
Jifan LiuShandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta, Shandong University of Aeronautics, Bin zhou, China.
Dehu WangShandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta, Shandong University of Aeronautics, Bin zhou, China.
Weitao LiuCollege of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao, China.ORCID 0000-0002-2341-7461
Shuai ZhangShandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta, Shandong University of Aeronautics, Bin zhou, China.

Funding

National Natural Science Foundation of China 51904032Research start-up project for doctoral personnel of Shandong University of Aeronautics 2023Y40, 2024Y33
6 · The paper itself

Abstract

Rock mass fractures often lead to structural instability, posing significant safety risks in underground engineering such as mines and tunnels, including water seepage, air leakage, and damage to concrete structures. This study aims to enhance grouting-based repair techniques by investigating the mechanisms of microbially induced calcium carbonate precipitation (MICP) and simulating fracture filling processes. Laboratory experiments were conducted to identify optimal culture conditions for maximizing calcium carbonate production. Additionally, Particle Flow Code (PFC) 5.0 was employed to simulate the filling of fractures with microbial calcium carbonate. The results indicate that urea, urease-producing bacteria, and ammonium ions exhibit continuous concentration distributions within fractures, regulated by chemical reaction kinetics. IMPORTANCE: Cracks in rocks and concrete structures pose significant threats to the safety and longevity of underground engineering projects, such as mines and tunnels, leading to water leakage and instability. Traditional repair methods are often costly, disruptive, and environmentally taxing. This study harnesses the power of bacteria to create a self-healing material, effectively using microbes to produce a natural bio-cement that seals these dangerous fractures. By identifying the optimal conditions for the bacteria to work and developing a computer model to predict the healing process, our research provides a ground-breaking, eco-friendly strategy for autonomous infrastructure repair. This bio-based approach not only enhances engineering safety but also paves the way for sustainable construction practices, turning a biological process into a powerful engineering solution.

Indexed as

BacillusCalcium CarbonateHydrogen-Ion ConcentrationSporosarcinaUreaUreaseCalcium CarbonateUreaUreaseBacillus pasteuriibiogeotechnologyMICP-coupled numerical simulationmicrobial biomineralizationrock fracture bioremediationurea hydrolysis

Identifiers

PMID42484332
PMCPMC13532330

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.