the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Kinetic characteristics investigation of the Yingxingping rockslide based on discrete element method combined with discrete fracture network
Abstract. The development of rock fractures on the mountain ridge in meizoseismal area may lead to fatal rockslides. This study focused on a catastrophic post-earthquake rockslide in Wenchuan, Southwestern China, to illustrate this geological phenomenon. On-site inquiries and aerial photography were used to ascertained the basic characteristics and determine three regions: the source area, transitional area, and depositional area. A three-dimensional discrete element method (DEM) with the discrete fracture network (DFN) was employed to assess the dynamic process of the rockslide. The sliding mass disintegrated quickly into smaller blocks, with those in the front-edge reaching the bottom of the slope earlier and experiencing higher acceleration. The maximum velocity and displacement of the sliding blocks were found to be 56.75 m/s and 508.61 m, respectively, lasting for approximately 104.45 seconds. The effects of fractures density and friction angle on kinetic characteristics were analysed, and a check dam was utilized to intercept the rockslide deposit in the debris flow gully. This study provides valuable information for assessing the kinetic process and preventing post-earthquake rockslides in meizoseismal areas.
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CC2: 'Comment on egusphere-2024-2216', Qiwen Lin, 11 Sep 2024
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In this manuscript, the dynamic process of a rockslide was evaluated by three-dimensional discrete element method (DEM) combined the discrete fracture network (DFN). This paper is well written. I think it can be accepted via minor revision. I have some comments which may be useful during the revision:
1. The integration of field investigations and numerical simulations is a highly effective research approach. However, it is noted that the submission seems lacking comprehensive comparative analysis between the results obtained from field investigations and numerical simulations.
2.Lines 140~183: it is not necessary to introduce the computing process of the DEM, instead, you may cite related papers.
3.The arrangement of Figure 6 should be rearranged to enhance the clarity of the numbers in Figure 6c.Citation: https://doi.org/10.5194/egusphere-2024-2216-CC2 -
CC3: 'Comment on egusphere-2024-2216', zhongtian chen, 13 Sep 2024
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In this submission, on-site inquiries and aerial photography were firstly utilized to study the basic characteristics of rockslides, and then the dynamic process of rockslide and the influences of fractures density and friction angle on kinetic characteristics were studied using the 3D discrete element method with the discrete fracture network. Generally speaking, this submission provides valuable information for assessing the dynamic process from on-site inquiries and numerical simulations based on innovative research methods, but there are still some issues that need to be revised to be published.
1. In the Introduction section, although there have been significant advancements in field investigations, theoretical models, and numerical simulations related to rockslides, the author should to highlight the innovative and necessary contributions of this submission's research.
2. Section 3.2, the bedrock and sliding rock mass were considered to be separate in the initial stage? The authors should provide a detailed explanation.Citation: https://doi.org/10.5194/egusphere-2024-2216-CC3 -
RC1: 'Comment on egusphere-2024-2216', Anonymous Referee #1, 25 Sep 2024
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The study investigates the development of rock fractures on mountain ridges in meizoseismal areas, which can lead to fatal rockslides based on site inquiries and aerial photography. A three-dimensional discrete element method (DEM) combined with a discrete fracture network (DFN) was employed to assess the dynamic process of the rockslide. The study analyzed the effects of fracture density and friction angle on the kinetic characteristics of the rockslide. This research provides valuable insights into the kinetic processes and prevention strategies for post-earthquake rockslides in meizoseismal areas. But several misunderstanding are encountered in this paper:
1, In Section Introduction, please focus on scientific issues clearly and work to solve these problems well. This section needs definitely gives the research gap and objective about your work.
2, Page 1 line 23 geological disasters or geo-hazards? please check all the text.
3, The phenomenon of cracks on the rear edge of the mountain before the landslide is common, whether it is rainfall, earthquakes, or gravity-induced landslide events, tends to form cracks at the trailing edge, but the formation of cracks is often a consequence rather than a cause. In other words, the formation of cracks is often the product of the beginning of the landslide, rather than the existing fracture and the landslide.
4, In Section Introduction, the author mentions several times that the type of fracture is important for landslide evolution, and the detection of fractures is also important, but the author does not mention this work in the manuscript.
5, There are many words in the text that the author has not explained, and it is impossible to understand and read. For example, page3 line 83, the author mentions three major faults? What is the meaning?
6, Figure 1 shows the YXP landslide, while in the text uses the YXP rockslide? Why?
7, How was the data on the geohazards mentioned in Section 2.1 obtained? Or is it a reference to someone else's?
8, In chapter 2.2, the author directly gives the mechanism of the formation of the geohazard, which is only a simple description, without any data, how does the author make the mechanism clear?
9, The method mentioned by the author in Chapter 3 is the DEM method, which the author uses directly in Rockslide. And how is this data obtained? What is the reason for this value?
10, There are two third parts of the text chapter? How to verify the reliability of the simulation, and how to use numerical simulation to reveal the gas process and prevent and control risks?
Citation: https://doi.org/10.5194/egusphere-2024-2216-RC1 -
CC4: 'Comment on egusphere-2024-2216', Giacomo Medici, 05 Dec 2024
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General comments
Very good research on rock mechanics and discrete fracture network. Please, follow my specific comments to improve the manuscript.
Specific comments
Lines 64-66. “Discrete Fracture Network (DFN) models are primarily based on the establishment of joint and fracture networks... cannot be fully measured”. Insert recent review papers on the link between field surveys and modelling aspects of Discrete Fracture Network models:
- Medici G, Ling F, Shang J 2023. Review of discrete fracture network characterization for geothermal energy extraction. Frontiers in Earth Science 11, 1328397.
- Kolapo P, Ogunsola NO, Munemo P, Alewi D, Komolafe K, Giwa-Bioku A 2023. DFN: an emerging tool for stochastic modelling and geomechanical design. Eng 4(1), 174-205.
Line 79. Specify the 3 to 4 specific objectives of your research by using numbers.
Line 83. “Three major faults”. Please, specify the type of faults. Normal, strike-slip?
Lines 321-334. The bulletin points are 3 so the specific objectives should be 3 to match.
Lines 321-334. Add a “take home” message for the researchers working in your field.
Lines 350-442. Please, integrate relevant literature on DFN.
Figures and tables
Figure 1. Make the figure larger.
Figure 6c. The stereonet that shows the two sets of fractures should be much larger.
Figure 6c. Consider to make it a separate figure.
Figure 14. Fractures are very difficult to see. Increase the graphic resolution.
Figure 14. Make also the figure larger, there is room for this change.
Citation: https://doi.org/10.5194/egusphere-2024-2216-CC4
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