Comparative analysis of several rock slope stability rating system: A case study at Kajang SILK highway

2019 ◽  
Author(s):  
Afiq Farhan Abdul Rahim ◽  
Goh Thian Lai
Keyword(s):  
Comparative Analysis ◽  
Slope Stability ◽  
Rock Slope ◽  
Rating System ◽  
Rock Slope Stability ◽  
System A ◽  
Stability Rating

scholarly journals A Systematic Approach of Rock Slope Stability Assessment: A Case Study at Gunung Kandu, Gopeng, Perak, Malaysia

2018 ◽  
Vol 47 (07) ◽  
pp. 1413-1421 ◽  
Author(s):  
Ainul Mardhiyah Mohd Razib ◽  
Thian Lai Goh ◽  
Nur Amanina Mazlan ◽  
Muhammad Fahmi Abdul Ghani ◽  
Tuan Rusli Tuan Mohamed ◽  
...  
Keyword(s):  
Slope Stability ◽  
Systematic Approach ◽  
Rock Slope ◽  
Rock Slope Stability ◽  
Stability Assessment

scholarly journals Stability Rating of Mine Rock Slope Based on Artificial Intelligence

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hao Li
Keyword(s):  
Artificial Intelligence ◽  
Slope Stability ◽  
Rock Slope ◽  
Optimal Solution ◽  
Rock Slope Stability ◽  
Stability Calculation ◽  
Artificial Intelligence Methods ◽  
Study Results ◽  
Highly Nonlinear ◽  
Stability Rating

Mine rock slope stability rating is the process of assessing its stability probability, analyzing its failure mode, and then determining its stability rating by location matching principle and scale matching principle, having important theoretical and practical significance in putting forward reasonable restoration suggestions. In recent years, rapidly developing artificial intelligence methods not only have the characteristics of highly nonlinear mapping, self-organization, and self-adaptation but also mostly apply probability optimal strategy and, hence, bypass the problem of solving function derivatives, having higher efficiency and feasibility in solving the problems of global optimal solution and local optimal solution. On the basis of summarizing and analyzing previous research works, this paper expounded the current research status and significance of mine rock slope stability rating, elaborated the development background, current status, and future challenges of artificial intelligence methods, introduced the principles of the limit equilibrium method and finite element method, constructed an artificial intelligence-based mine rock slope stability calculation model, performed slope stability influencing factors’ analysis and optimization model parameter selection, proposed a mine rock slope stability rating algorithm based on artificial intelligence, analyzed the rating algorithm design and rating algorithm implementation, and finally conducted a case analysis and its discussion. The study results show that the artificial intelligence-based mine rock slope stability rating method can make full use of computer advantages to have larger capacity and faster calculation speed and solve to the greatest extent the randomness, timeliness, ambiguity, and other uncertain characteristics of mine rock slope stability by a large number of random sampling for finding the optimal value of the objective function. The study results of this paper provide a reference for further research studies on the stability rating of mine rock slopes based on artificial intelligence.

scholarly journals Rock slope stability analysis using Slope Stability Rating (SSR) method

2020 ◽  
Vol 1517 ◽  
pp. 012040
Author(s):  
M U Botjing ◽  
N R Janat ◽  
T Hilmansyah ◽  
Asrafil ◽  
Z Saing
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Rock Slope ◽  
Slope Stability Analysis ◽  
Rock Slope Stability ◽  
Stability Rating
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