Home Journals Articles Updates About
CN
image
收藏切换
Inversion of Mechanical Parameters and Dynamic Response Analysis of Dangerous Rock Mass Slopes After Earthquakes
收藏切换
PDF
Dong LU1, Guokai FU1, Zhengjun SUN1, Jicai DAI1, Chenxiang GAO2, Qinkuan HOU2
Mining and Metallurgical Engineering | 2025, 45(2) : 34 - 40
Less
收藏切换
Mining and Metallurgical Engineering | 2025, 45(2): 34-40
• MINING •
Inversion of Mechanical Parameters and Dynamic Response Analysis of Dangerous Rock Mass Slopes After Earthquakes
Full
Dong LU1, Guokai FU1, Zhengjun SUN1, Jicai DAI1, Chenxiang GAO2, Qinkuan HOU2
Affiliations
  • 1.Xinjiang Jinchuan Mining Co., Ltd., Ili Kazakh Autonomous Prefecture 835000, Xinjiang, China
  • 2.School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, Liaoning, China
Published: 2025-04-01 doi: 10.3969/j.issn.0253-6099.2025.02.006
Outline
收藏切换

The south slope of the Jingxi-Barak mining area of Xinjiang Jinchuan Mining Industry was taken for study. As for the issues of weakening mechanical parameters of slopes after an earthquake and the stability assessment of slopes under aftershocks, a BP neural network model optimized by the crow search algorithm (CSA-BP) was proposed for the inversion of mechanical parameters of slopes after an earthquake. The stability of slopes with dangerous rock mass under aftershocks was evaluated by using the discrete element method. The results show that the CSA-BP model can quantitatively reveal the weakening characteristics of rock masses through the inversion of mechanical parameters. Under aftershock of a magnitude 5 earthquake, significant displacement occurs in the tuffaceous sandstone in the middle and upper parts of the slope, with horizontal (x-direction) displacement far exceeding vertical (z-direction) displacement, indicating that slope instability is dominated by horizontal sliding. The CSA-BP model can accurately identify high-risk zones through a parameter-dynamic coupling mechanism, providing theoretical support for slope protection after earthquakes.

unstable rock mass  /  slope stability  /  rock mechanics  /  parameter inversion  /  crow search algorithm  /  BP neural network  /  seismic response  /  machine learning
Dong LU, Guokai FU, Zhengjun SUN, Jicai DAI, Chenxiang GAO, Qinkuan HOU. Inversion of Mechanical Parameters and Dynamic Response Analysis of Dangerous Rock Mass Slopes After Earthquakes[J]. Mining and Metallurgical Engineering, 2025 , 45 (2) : 34 -40 . DOI: 10.3969/j.issn.0253-6099.2025.02.006
Appendix
Less
Year 2025 volume 45 Issue 2
PDF
48
22
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.0253-6099.2025.02.006
  • Receive Date：2024-10-23
  • Online Date：2026-03-19
  • Published：2025-04-01
Article Data
Affiliations
History
  • Received：2024-10-23
Funding
Affiliations
    1.Xinjiang Jinchuan Mining Co., Ltd., Ili Kazakh Autonomous Prefecture 835000, Xinjiang, China
    2.School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, Liaoning, China
References
Share
https://castjournals.cast.org.cn/joweb/kygczz/EN/10.3969/j.issn.0253-6099.2025.02.006
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House