Evidence map›Paper›PMID 40684062›Full record

ArticleScientific reports2025

Experimental characterization and grain-based numerical modeling of multiscale fracture mechanisms in pre-fractured granite.

Jie Guo, Guang Li, Fengshan Ma

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. 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

3 authors.

Jie GuoState Key Laboratory of Lithospheric and Environmental Coevolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China. guojie@mail.iggcas.ac.cn.
Guang LiState Key Laboratory of Lithospheric and Environmental Coevolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China.
Fengshan MaState Key Laboratory of Lithospheric and Environmental Coevolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China.

Funding

National Science Foundation of China 42072305Second Tibetan Plateau Scientific Expedition and Research Program 2019QZKK0904
6 · The paper itself

Abstract

The mechanical behavior of pre-fractured granite is primarily governed by pre-existing fractures, in which macro-crack evolution emerges from micro-crack accumulation. This study employs an integrated approach combining mechanical testing, acoustic emission (AE) monitoring, and multiscale numerical simulations to systematically investigate the deformation and failure mechanisms of granite containing single and double pre-existing fractures. Key findings reveal: (1) Fracture geometry dictates strength: Uniaxial compressive strength (UCS) increases with fracture inclination angle, whereas elastic modulus remains relatively constant. For double-fractured specimens, strength peaks at a rock bridge angle of 60°, at which collinear crack alignment induces minimal resistance; (2) Three-stage AE evolution: AE activity progresses through initial compaction (minor events), intensifies during peak stress (crack coalescence), and diminishes toward post-failure stabilization; (3) Divergent failure modes: Single fractures display progressive tensile-dominated failure with localized shear, while double fractures promote abrupt tensile-shear hybrid failure; (4) Multiscale crack progression: Under uniaxial compression, microcracks nucleate at inter-mineral boundaries, propagate along intra-mineral interfaces, and escalate to rapid intra-crystalline coalescence, ultimately forming macroscopic fracture surfaces. These findings establish fundamental insights into fracture-driven rock failure, linking microscale damage processes with macroscale engineering manifestations.

Indexed as

Crack propagationFailure modeMultiscale modelingPre-existing fracturesRock strength

Identifiers

PMID40684062
PMCPMC12276350

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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.