Spatial Distribution Characteristics of Rock Avalanche Fragments From Numerical Analysis and UAV Image Recognition.
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| Title: | Spatial Distribution Characteristics of Rock Avalanche Fragments From Numerical Analysis and UAV Image Recognition. |
|---|---|
| Authors: | Chang, Wenbin1 (AUTHOR), Xing, Aiguo1 (AUTHOR) xingaiguo@sjtu.edu.cn, Jin, Kaiping1 (AUTHOR) |
| Source: | Rock Mechanics & Rock Engineering. Jul2025, Vol. 58 Issue 7, p7703-7723. 21p. |
| Subjects: | Rockslides, Discrete element method, Geometric distribution, Image recognition (Computer vision), Drone aircraft |
| Abstract: | A detailed field investigation, including the unmanned aerial vehicle (UAV) survey, was conducted for a rock avalanche that occurred in southwest China in 2017. The dynamic fragmentation process of this rock avalanche has been reproduced via the 3D discrete element method (DEM). The numerical analysis and UAV image recognition were employed to perform a field-scale holistic analysis of the fragment distribution characteristics. The statistical results show that there is a decreasing trend of fragment size with transport distance, but the influence of runout on roundness and sphericity is weak. The holistic analysis indicates that fragment roundness and sphericity have an overall negative correlation with fragment size, and it is a non-linear feedback. Further, variability analysis suggests that along the motion direction, the fragment size distribution in the deposit tends to be uniform, while the roundness and sphericity distribution tend to be variable. Benefiting from the presence of a hillside in the accumulation area of this case, we found that the topography has a significant control on the distribution of geometric characteristics of the rock-avalanche fragments. Finally, according to the data from the vertical profiles in the DEM model, we found that the sphericity of the rock fragments tends to decrease with increasing vertical depth. Our analytical results indicate that channel sieving, frictional abrasion, and basal crushing processes within the avalanching mass lead to fragment sphericity to show better directivity in the vertical direction, compared to the planar distribution. These findings contribute to a better understanding of the distribution of geometric characteristics of blocks within the rock-avalanche deposit from a dynamic fragmentation perspective. Highlights UAV statistical results show that rock fragment size decreases with rock-avalanche propagation distance, but the influence of runout on roundness is weak. Both UAV and DEM model reveal that along motion direction, fragment size distribution tends to be uniform, while roundness distribution tends to be variable. DEM analysis suggests that fragment sphericity tends to show a better directivity in the vertical direction, compared with the planar distribution results. [ABSTRACT FROM AUTHOR] |
| Copyright of Rock Mechanics & Rock Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 186621955 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Spatial Distribution Characteristics of Rock Avalanche Fragments From Numerical Analysis and UAV Image Recognition. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chang%2C+Wenbin%22">Chang, Wenbin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xing%2C+Aiguo%22">Xing, Aiguo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> xingaiguo@sjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Jin%2C+Kaiping%22">Jin, Kaiping</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Rock+Mechanics+%26+Rock+Engineering%22">Rock Mechanics & Rock Engineering</searchLink>. Jul2025, Vol. 58 Issue 7, p7703-7723. 21p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Rockslides%22">Rockslides</searchLink><br /><searchLink fieldCode="DE" term="%22Discrete+element+method%22">Discrete element method</searchLink><br /><searchLink fieldCode="DE" term="%22Geometric+distribution%22">Geometric distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Image+recognition+%28Computer+vision%29%22">Image recognition (Computer vision)</searchLink><br /><searchLink fieldCode="DE" term="%22Drone+aircraft%22">Drone aircraft</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A detailed field investigation, including the unmanned aerial vehicle (UAV) survey, was conducted for a rock avalanche that occurred in southwest China in 2017. The dynamic fragmentation process of this rock avalanche has been reproduced via the 3D discrete element method (DEM). The numerical analysis and UAV image recognition were employed to perform a field-scale holistic analysis of the fragment distribution characteristics. The statistical results show that there is a decreasing trend of fragment size with transport distance, but the influence of runout on roundness and sphericity is weak. The holistic analysis indicates that fragment roundness and sphericity have an overall negative correlation with fragment size, and it is a non-linear feedback. Further, variability analysis suggests that along the motion direction, the fragment size distribution in the deposit tends to be uniform, while the roundness and sphericity distribution tend to be variable. Benefiting from the presence of a hillside in the accumulation area of this case, we found that the topography has a significant control on the distribution of geometric characteristics of the rock-avalanche fragments. Finally, according to the data from the vertical profiles in the DEM model, we found that the sphericity of the rock fragments tends to decrease with increasing vertical depth. Our analytical results indicate that channel sieving, frictional abrasion, and basal crushing processes within the avalanching mass lead to fragment sphericity to show better directivity in the vertical direction, compared to the planar distribution. These findings contribute to a better understanding of the distribution of geometric characteristics of blocks within the rock-avalanche deposit from a dynamic fragmentation perspective. Highlights UAV statistical results show that rock fragment size decreases with rock-avalanche propagation distance, but the influence of runout on roundness is weak. Both UAV and DEM model reveal that along motion direction, fragment size distribution tends to be uniform, while roundness distribution tends to be variable. DEM analysis suggests that fragment sphericity tends to show a better directivity in the vertical direction, compared with the planar distribution results. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Rock Mechanics & Rock Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00603-025-04510-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 7703 Subjects: – SubjectFull: Rockslides Type: general – SubjectFull: Discrete element method Type: general – SubjectFull: Geometric distribution Type: general – SubjectFull: Image recognition (Computer vision) Type: general – SubjectFull: Drone aircraft Type: general Titles: – TitleFull: Spatial Distribution Characteristics of Rock Avalanche Fragments From Numerical Analysis and UAV Image Recognition. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chang, Wenbin – PersonEntity: Name: NameFull: Xing, Aiguo – PersonEntity: Name: NameFull: Jin, Kaiping IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 07232632 Numbering: – Type: volume Value: 58 – Type: issue Value: 7 Titles: – TitleFull: Rock Mechanics & Rock Engineering Type: main |
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