Microstructure effect of mechanical and cracking behaviors on brittle rocks using image-based fast Fourier transform method Article Swipe
YOU?
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· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.jrmge.2024.05.044
The internal microstructures of rock materials, including mineral heterogeneity and intrinsic microdefects, exert a significant influence on their nonlinear mechanical and cracking behaviors. It is of great significance to accurately characterize the actual microstructures and their influence on stress and damage evolution inside the rocks. In this study, an image-based fast Fourier transform (FFT) method is developed for reconstructing the actual rock microstructures by combining it with the digital image processing (DIP) technique. A series of experimental investigations were conducted to acquire information regarding the actual microstructure and the mechanical properties. Based on these experimental evidences, the processed microstructure information, in conjunction with the proposed micromechanical model, is incorporated into the numerical calculation. The proposed image-based FFT method was firstly validated through uniaxial compression tests. Subsequently, it was employed to predict and analyze the influence of microstructure on macroscopic mechanical behaviors, local stress distribution and the internal crack evolution process in brittle rocks. The distribution of feldspar is considerably more heterogeneous and scattered than that of quartz, which results in a greater propensity for the formation of cracks in feldspar. It is observed that initial cracks and new cracks, including intragranular and boundary ones, ultimately coalesce and connect as the primary through cracks, which are predominantly distributed along the boundary of the feldspar. This phenomenon is also predicted by the proposed numerical method. The results indicate that the proposed numerical method provides an effective approach for analyzing, understanding and predicting the nonlinear mechanical and cracking behaviors of brittle rocks by taking into account the actual microstructure characteristics.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jrmge.2024.05.044
- OA Status
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- Cited By
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https://openalex.org/W4402395638Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.jrmge.2024.05.044Digital Object Identifier
- Title
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Microstructure effect of mechanical and cracking behaviors on brittle rocks using image-based fast Fourier transform methodWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-09-10Full publication date if available
- Authors
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Mingyao Li, Lei Peng, Dejun Liu, Jianping ZuoList of authors in order
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https://doi.org/10.1016/j.jrmge.2024.05.044Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.1016/j.jrmge.2024.05.044Direct OA link when available
- Concepts
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Microstructure, Fourier transform, Cracking, Brittleness, Materials science, Composite material, Geology, Mineralogy, Mathematics, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2025: 7Per-year citation counts (last 5 years)
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67Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.exert | 12 |
| abstract_inverted_index.great | 26 |
| abstract_inverted_index.image | 69 |
| abstract_inverted_index.local | 141 |
| abstract_inverted_index.ones, | 193 |
| abstract_inverted_index.rocks | 248 |
| abstract_inverted_index.their | 17, 35 |
| abstract_inverted_index.these | 93 |
| abstract_inverted_index.which | 167, 203 |
| abstract_inverted_index.actual | 32, 60, 85, 254 |
| abstract_inverted_index.cracks | 177, 185 |
| abstract_inverted_index.damage | 40 |
| abstract_inverted_index.inside | 42 |
| abstract_inverted_index.method | 54, 117, 230 |
| abstract_inverted_index.model, | 106 |
| abstract_inverted_index.rocks. | 44, 152 |
| abstract_inverted_index.series | 74 |
| abstract_inverted_index.stress | 38, 142 |
| abstract_inverted_index.study, | 47 |
| abstract_inverted_index.taking | 250 |
| abstract_inverted_index.tests. | 124 |
| abstract_inverted_index.Fourier | 51 |
| abstract_inverted_index.account | 252 |
| abstract_inverted_index.acquire | 81 |
| abstract_inverted_index.analyze | 132 |
| abstract_inverted_index.brittle | 151, 247 |
| abstract_inverted_index.connect | 197 |
| abstract_inverted_index.cracks, | 188, 202 |
| abstract_inverted_index.digital | 68 |
| abstract_inverted_index.firstly | 119 |
| abstract_inverted_index.greater | 171 |
| abstract_inverted_index.initial | 184 |
| abstract_inverted_index.method. | 222 |
| abstract_inverted_index.mineral | 7 |
| abstract_inverted_index.predict | 130 |
| abstract_inverted_index.primary | 200 |
| abstract_inverted_index.process | 149 |
| abstract_inverted_index.quartz, | 166 |
| abstract_inverted_index.results | 168, 224 |
| abstract_inverted_index.through | 121, 201 |
| abstract_inverted_index.approach | 234 |
| abstract_inverted_index.boundary | 192, 209 |
| abstract_inverted_index.coalesce | 195 |
| abstract_inverted_index.cracking | 21, 244 |
| abstract_inverted_index.employed | 128 |
| abstract_inverted_index.feldspar | 156 |
| abstract_inverted_index.indicate | 225 |
| abstract_inverted_index.internal | 1, 146 |
| abstract_inverted_index.observed | 182 |
| abstract_inverted_index.proposed | 104, 114, 220, 228 |
| abstract_inverted_index.provides | 231 |
| abstract_inverted_index.uniaxial | 122 |
| abstract_inverted_index.behaviors | 245 |
| abstract_inverted_index.combining | 64 |
| abstract_inverted_index.conducted | 79 |
| abstract_inverted_index.developed | 56 |
| abstract_inverted_index.effective | 233 |
| abstract_inverted_index.evolution | 41, 148 |
| abstract_inverted_index.feldspar. | 179, 212 |
| abstract_inverted_index.formation | 175 |
| abstract_inverted_index.including | 6, 189 |
| abstract_inverted_index.influence | 15, 36, 134 |
| abstract_inverted_index.intrinsic | 10 |
| abstract_inverted_index.nonlinear | 18, 241 |
| abstract_inverted_index.numerical | 111, 221, 229 |
| abstract_inverted_index.predicted | 217 |
| abstract_inverted_index.processed | 97 |
| abstract_inverted_index.regarding | 83 |
| abstract_inverted_index.scattered | 162 |
| abstract_inverted_index.transform | 52 |
| abstract_inverted_index.validated | 120 |
| abstract_inverted_index.accurately | 29 |
| abstract_inverted_index.analyzing, | 236 |
| abstract_inverted_index.behaviors, | 140 |
| abstract_inverted_index.behaviors. | 22 |
| abstract_inverted_index.evidences, | 95 |
| abstract_inverted_index.materials, | 5 |
| abstract_inverted_index.mechanical | 19, 89, 139, 242 |
| abstract_inverted_index.phenomenon | 214 |
| abstract_inverted_index.predicting | 239 |
| abstract_inverted_index.processing | 70 |
| abstract_inverted_index.propensity | 172 |
| abstract_inverted_index.technique. | 72 |
| abstract_inverted_index.ultimately | 194 |
| abstract_inverted_index.compression | 123 |
| abstract_inverted_index.conjunction | 101 |
| abstract_inverted_index.distributed | 206 |
| abstract_inverted_index.image-based | 49, 115 |
| abstract_inverted_index.information | 82 |
| abstract_inverted_index.macroscopic | 138 |
| abstract_inverted_index.properties. | 90 |
| abstract_inverted_index.significant | 14 |
| abstract_inverted_index.calculation. | 112 |
| abstract_inverted_index.characterize | 30 |
| abstract_inverted_index.considerably | 158 |
| abstract_inverted_index.distribution | 143, 154 |
| abstract_inverted_index.experimental | 76, 94 |
| abstract_inverted_index.incorporated | 108 |
| abstract_inverted_index.information, | 99 |
| abstract_inverted_index.significance | 27 |
| abstract_inverted_index.Subsequently, | 125 |
| abstract_inverted_index.heterogeneity | 8 |
| abstract_inverted_index.heterogeneous | 160 |
| abstract_inverted_index.intragranular | 190 |
| abstract_inverted_index.microdefects, | 11 |
| abstract_inverted_index.predominantly | 205 |
| abstract_inverted_index.understanding | 237 |
| abstract_inverted_index.investigations | 77 |
| abstract_inverted_index.microstructure | 86, 98, 136, 255 |
| abstract_inverted_index.reconstructing | 58 |
| abstract_inverted_index.micromechanical | 105 |
| abstract_inverted_index.microstructures | 2, 33, 62 |
| abstract_inverted_index.characteristics. | 256 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 98 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.89370892 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |