Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024)

Study on the Fractal and Mechanical Properties of Apparent Fractures of Dolomite from Giant landslides

Authors
Jiang Tao1, Cui Shenghua1, *
1State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, 610059, China
*Corresponding author. Email: cuishenghua18@cdut.edu.cn
Corresponding Author
Cui Shenghua
Available Online 4 January 2026.
DOI
10.2991/978-94-6463-946-9_15How to use a DOI?
Keywords
Daguangbao landslide; Fractured Rock in Slip Zones; Fractal Dimension of Fractures; Rock Fracture Mechanisms
Abstract

The mechanical properties of fractured rocks in the slip zone are crucial factors affecting the stability of landslides and the initiation of earthquakes. This study uses dolomite samples collected from the slip surface of the Daguangbao landslide, triggered by the Wenchuan earthquake. Through laboratory processing and fracture statistics, a two-dimensional box-counting method was employed for fracture fractal analysis to quantitatively describe the degree of fracture development. The study investigates the fractal characteristics of apparent fractures in dolomite from the Daguangbao landslide and their impact on the mechanical properties of the rock. The results indicate that the fractal dimension of fractures increases linearly with the number of fractures, and the distribution characteristics of fractures significantly affect the fractal dimension. Through uniaxial compression tests and fatigue tests, combined with acoustic emission monitoring, it was found that the higher the fractal dimension of fractures, the lower the compressive strength of the rock. Moreover, there is a power function relationship between the fractal dimension of fractures and the uniaxial compressive strength of the rock. Additionally, different fracture fractal dimensions lead to different stress-strain patterns, including elastic-single peak-collapse type, elastic-multi peak-collapse type, and yield-single peak-collapse type. Finally, the microstructure of the rock fracture surface was analyzed using SEM scanning, revealing the impact of fracture fractal dimension on the rock fracture mechanism. The study shows that the fractal dimension of fractures is an important factor affecting the strength and failure mode of rocks, which is significant for understanding the stability of landslides and the mechanism of earthquake initiation.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
4 January 2026
ISBN
978-94-6463-946-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-946-9_15How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Jiang Tao
AU  - Cui Shenghua
PY  - 2026
DA  - 2026/01/04
TI  - Study on the Fractal and Mechanical Properties of Apparent Fractures of Dolomite from Giant landslides
BT  - Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024)
PB  - Atlantis Press
SP  - 115
EP  - 121
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-946-9_15
DO  - 10.2991/978-94-6463-946-9_15
ID  - Tao2026
ER  -