The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Detection of Cracking Levels in Brittle Rocks by Parametric Analysis of the Acoustic Emission Signals
Open accessAbstract
Determination of the cracking levels during the crack propagation is one of the key challenges in the field of fracture mechanics of rocks. Acoustic emission (AE) is a technique that has been used to detect cracks as they occur across the specimen. Parametric analysis of AE signals and correlating these parameters (e.g., hits and energy) to stress–strain plots of rocks let us detect cracking levels properly. The number of AE hits is related to the number of cracks, and the AE energy is related to magnitude of the cracking event. For a full understanding of the fracture process in brittle rocks, prismatic specimens of granite containing pre-existing flaws have been tested in uniaxial compression tests, and their cracking process was monitored with both AE and high-speed video imaging. In this paper, the characteristics of the AE parameters and the evolution of cracking sequences are analyzed for every cracking level. Based on micro- and macro-crack damage, a classification of cracking levels is introduced. This classification contains eight stages (1) crack closure, (2) linear elastic deformation, (3) micro-crack initiation (white patch initiation), (4) micro-crack growth (stable crack growth), (5) micro-crack coalescence (macro-crack initiation), (6) macro-crack growth (unstable crack growth), (7) macro-crack coalescence and (8) failure.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
VI. The phenomena of rupture and flow in solids
Griffith, A. A. (1921) · Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Mathematical or Physical Character · doi:10.1098/rsta.1921.0006 · Cited by 11,052
Mechanism of brittle fracture of rock
Bieniawski, Z. T. (1967) · International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts · doi:10.1016/0148-9062(67)90030-7 · Cited by 885
Diederichs, M. S. (2007) · Canadian Geotechnical Journal · doi:10.1139/t07-033 · Cited by 582
Evaluation of Methods for Determining Crack Initiation in Compression Tests on Low-Porosity Rocks
Nicksiar, M., & Martin, C. D. (2012) · Rock Mechanics and Rock Engineering · doi:10.1007/s00603-012-0221-6 · Cited by 371
Brace, W. F. (1964) · Medical Entomology and Zoology · Cited by 302
Evidence for a Long-Term Strength Threshold in Crystalline Rock
Damjanac, B., & Fairhurst, C. (2010) · Rock Mechanics and Rock Engineering · doi:10.1007/s00603-010-0090-9 · Cited by 215
Factors Affecting Crack Initiation in Low Porosity Crystalline Rocks
Nicksiar, M., & Martin, C. D. (2014) · Rock Mechanics and Rock Engineering · doi:10.1007/s00603-013-0451-2 · Cited by 209
Cracking processes in Barre granite: fracture process zones and crack coalescence
Morgan, S. P., Johnson, C. A., & Einstein, H. H. (2013) · International Journal of Fracture · doi:10.1007/s10704-013-9810-y · Cited by 203
Self-citation
Metadata
- Authors
- Moradian, Z., Einstein, H. H., & Ballivy, G.
- Venue
- Rock Mechanics and Rock Engineering
- Published
- 2015-06-16
- Volume
- 49
- Issue
- 3
- Pages
- 785-800
- ISSN
- 0723-2632 (ISSN-L)
- 1434-453X
- OpenAlex
- W2162992915
- Cited by
- 389
- References
- 8
- FWCI
- 8.43
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Detection of Cracking Levels in Brittle Rocks by Parametric Analysis of the Acoustic Emission Signals. https://app.cochat.ai/papers/10.1007/s00603-015-0775-1
- The paper
- Moradian, Z., Einstein, H. H., & Ballivy, G. (2016). Detection of Cracking Levels in Brittle Rocks by Parametric Analysis of the Acoustic Emission Signals. Rock Mechanics and Rock Engineering. https://doi.org/10.1007/s00603-015-0775-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.