Biometric Technology Today, Vol. 2025 No. 1 (0): Theme: The Adaptive Biometric Technology: Innovations in AI, Security, Data Mining, and Network Optimization, Theme: Adaptive Biometric Technology: Innovations in AI, Security, Data Mining, and Network Optimization

Research on comprehensive assessment and prediction method of slope stability based on multivariate coupled model of vibration loading

Authors

  • Ran Tao , Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, Yunnan, China, Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, Ministry of Natural Resources of the People’s Republic of China , Kunming 650093, Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, Ministry of Natural Resources of the People’s Republic of China , Kunming 650093
  • An Chen , Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, Yunnan, China, Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, Ministry of Natural Resources of the People’s Republic of China , Kunming 650093, Yunnan Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, Kunming 650093
  • Kewen Liu , Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, Yunnan, China, Yunnan Construction Investment First Survey and Design Co., Ltd., Kunming 650021 , Yunnan, China
  • Yurong Li Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, Yunnan, China, Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, Ministry of Natural Resources of the People’s Republic of China , Kunming 650093, Yunnan Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, Kunming 650093

Keywords:

strength discounting method; shear strength; vibration loading; slope stability

Abstract

The study of slope dynamic response and slope stability under different vibration conditions is of great significance to the slope design in engineering, safe operation of engineering construction equipment and safe prediction of vehicle stopping. This paper combines the relevant factors affecting the deformation and damage of slopes, and establishes a three-dimensional model of slopes for similar simulation using actual engineering slopes. With the advantage of the finite element strength reduction method, the stability of the slope under different vibration loads and the minimum safety factor are solved. Investigate the nodal properties of the slopes in the study area, and the values of shear strength  and  of the structural surface of the slopes. Simulate and analyze the longitudinal and transverse waves under vibration loads. Trace the slope nodes and analyze the dynamic response of the slope under vibration loading. Explore the sensitivity of the factors affecting the slope stability under vibration loading, and make an overall evaluation of the slope stability. In the dynamic response curves, the horizontal and vertical stress curves tend to zero after 0.73-1.4s at monitoring points No. 1 and No. 2. That is, the vibration duration is about 0.73-1.4s, which is also consistent with the duration obtained from the on-site blasting vibration test. 1# and 2# monitoring points, the initial stress is larger. And the mass vibration of signal #2 is stronger than that of signal #1, but the main vibration frequency of signal #1 is much higher than that of signal #2. In these two signals, the frequency is the dominant factor in destroying the slope. The comprehensive assessment result is that under the action of blasting load (Case II), the rock mass in Area I is in an unstable state, and Area II is in a stable state.

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Published

2025-06-11

Issue

Vol. 2025 No. 1 (0): Theme: The Adaptive Biometric Technology: Innovations in AI, Security, Data Mining, and Network Optimization

Section

Theme: Adaptive Biometric Technology: Innovations in AI, Security, Data Mining, and Network Optimization