SLOPE STABILITY ASSESSMENT USING SLOPE MASS RATING (SMR), KEY BLOCK THEORY, AND KINEMATIC ANALYSIS: A CASE STUDY

نویسندگان

چکیده

In open pit mines, the slope stability of benches, inter-ramps, and overall is vital not only for economy extraction process but also safety personnel equipment. Geological discontinuities, geometry, other factors can induce different failure modes in hard rock masses such as planar, wedge sliding, toppling. Hence, analysis must be carried out carefully using a suitable technique by considering maximum available geotechnical data. This study aims to assess against risk toppling based on mass rating method (SMR), key block theory (KBT), kinematic analysis. As an example, proposed techniques were applied evaluate bench discontinuous at mine Morocco. The results show that sliding planar failure, three methods are identical confirm two benches prone failure. Furthermore, SMR findings revealed one studied slopes. Consequently, identified unstable slopes need reinforced artificial support ensure stabilityю allows improve design assessment mines used road cuts excavated masses, particularly when availability data limited. Keywords: Slope Stability Analysis, Discontinuous Rock Masses, Key Block Theory, Mass Rating, Kinematic Analysis DOI: https://doi.org/10.35741/issn.0258-2724.58.4.45

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

rodbar dam slope stability analysis using neural networks

در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...

Slope Stability Analysis Using a Self-Adaptive Genetic Algorithm

This paper introduces a methodology for soil slope stability analysis based on optimization, limit equilibrium principles and method of slices. In this study, the slope stability analysis problem is transformed into a constrained nonlinear optimization problem. To solve that, a Self-Adaptive Genetic Algorithm (GA) is utilized. In this study, the slope stability safety factors are the objective ...

متن کامل

A Proposed Modeling Method in Finite Element Slope Stability Analysis

Limit-equilibrium method (LEM) and finite element method (FEM) with strength reduction method (SRM) techniques are the most widely used analysis tools in slope stability assessment. Recently, researchers have reported that both factor of safety (FOS) values and failure surfaces obtained from LEM and FEM are generally in good agreement, except in some particular cases. In this paper, the FOS and...

متن کامل

Rock Slope Stability Analysis Using Discrete Element Method

Rock slope stability depends very much on the strength features of the rock and the geometrical and strength characteristics of the discontinuities (e.g., roughness, wall strength and persistence). Since a rock mass is not a continuum, its behavior is dominated by such discontinuities as faults, joints and bedding planes. Also, Rock slope instability is a major hazard for human activities and o...

متن کامل

Soil and Rock Slope Stability Analysis based on Numerical Manifold Method and Graph Theory

Limit equilibrium method, strength reduction method and Finite Difference Methods are the most prevalently used methods for soil and rock slope stability analysis. However, it can be mention that those have some limitations in practical application. In the Limit equilibrium method, the constitutive model cannot be considered and many assumptions are needed between slices of soil and rock. The s...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Xinan Jiaotong Daxue Xuebao

سال: 2023

ISSN: ['0258-2724']

DOI: https://doi.org/10.35741/issn.0258-2724.58.4.45