scholarly journals Applying probabilistic method base on Monte Carlo simulation to analyze slope stability on route Nha Trang - Da Lat (within Khanh Vinh district, Khanh Hoa province)

2014 ◽  
Vol 17 (3) ◽  
pp. 76-85
Author(s):  
Danh Thanh Nguyen ◽  
Ngo Van Dau ◽  
Dung Quoc Ta
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Slope Stability ◽  
Soil Properties ◽  
Reliability Index ◽  
Slope Failure ◽  
Probabilistic Method ◽  
Optimal Designs ◽  
Engineering Practice ◽  
Method Base

In this paper, a Monte Carlo simulation used to analyze probabilistic slope stability. The results including: probabilistic slope failure and reliability index with respect to factor of safety under the effects of uncertainties in the parameters of soil properties. Base on this informations, geotechnical engineers how to get optimal designs to prevent slope failure. In addition, the purpose of this paper is to show that standard deviation of soil properties can be applied in simple ways, without more data, time, or effort than are commonly available in geotechnical engineering practice. Applying Monte Carlo simulation to evaluate probabilistic slope stability on route Nha Trang - Da Lat.

Effects of Soil Properties Uncertainty on Reliability Index of Slope

2011 ◽  
Vol 250-253 ◽  
pp. 1947-1950
Author(s):  
Bo Han ◽  
Hong Jian Liao ◽  
Hang Zhou Li ◽  
Zheng Hua Xiao
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Slope Stability ◽  
Soil Properties ◽  
Normal Distribution ◽  
Reliability Index ◽  
Random Variables ◽  
Simulation Method ◽  
Soil Parameters ◽  
Monte Carlo Simulation Method

A probabilistic analysis procedure and related algorithms were based on the Monte Carlo simulation method that considers the variability of soil properties in this paper. A homogenous slope example provide insight into the effects of uncertainty due to the variability of soil properties on slope stability .Taking soil parameters cohesion c, friction angle, gravity γ as the basic random variables, the reliability index are calculated using Monte Carlo simulation method taking into account the uncertainties of these basic random variables. The calculated results are compared for four recognized methods of slope stability, which are Ordinary method, simplified Bishop method, simplified Janbu method and Morgenstern Price method. And the influence of soil parameters’ probability distribution model (i.e. the normal distribution and the log–normal distribution), variation coefficient, mean value, correlation between parameters on the reliability index of slope is discussed. The study shows that different soil properties have different influence degree on the reliability index with regard to the slope reliability analysis.

Uncertainty Analysis and Monitoring of Earth Dam

2014 ◽  
Vol 580-583 ◽  
pp. 954-957
Author(s):  
Ling Qiang Yang ◽  
Rui Gao ◽  
Yan Wang
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Probabilistic Method ◽  
Finite Difference Methods ◽  
Earth Dam ◽  
Earth Dams ◽  
Program Code ◽  
Physical Behavior ◽  
Difference Methods

Monte Carlo simulation provides a probabilistic method to evaluate the physical behavior of earth dam. Therefore, the behavior could be got in a more realistic manner. Based on the theory, an innovative software program code is developed by combining the Monte Carlo and finite difference methods to predict the performance of earth dams after impounding. In order to assess the efficiency of the method, the case study of earth dam, located at Southeast of China, has been studied in detail. The performance of this dam is predicted and compared with the field monitoring by using the monitoring data. The results shows the robustness of the proposed method.

scholarly journals HIRESSS: a physically based slope stability simulator for HPC applications

2013 ◽  
Vol 13 (1) ◽  
pp. 151-166 ◽  
Author(s):  
G. Rossi ◽  
F. Catani ◽  
L. Leoni ◽  
S. Segoni ◽  
V. Tofani
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Slope Stability ◽  
Real Time ◽  
Unsaturated Soil ◽  
Hydrological Model ◽  
Pressure Head ◽  
Stability Model ◽  
Physically Based ◽  
Geotechnical Stability

Abstract. HIRESSS (HIgh REsolution Slope Stability Simulator) is a physically based distributed slope stability simulator for analyzing shallow landslide triggering conditions in real time and on large areas using parallel computational techniques. The physical model proposed is composed of two parts: hydrological and geotechnical. The hydrological model receives the rainfall data as dynamical input and provides the pressure head as perturbation to the geotechnical stability model that computes the factor of safety (FS) in probabilistic terms. The hydrological model is based on an analytical solution of an approximated form of the Richards equation under the wet condition hypothesis and it is introduced as a modeled form of hydraulic diffusivity to improve the hydrological response. The geotechnical stability model is based on an infinite slope model that takes into account the unsaturated soil condition. During the slope stability analysis the proposed model takes into account the increase in strength and cohesion due to matric suction in unsaturated soil, where the pressure head is negative. Moreover, the soil mass variation on partially saturated soil caused by water infiltration is modeled. The model is then inserted into a Monte Carlo simulation, to manage the typical uncertainty in the values of the input geotechnical and hydrological parameters, which is a common weak point of deterministic models. The Monte Carlo simulation manages a probability distribution of input parameters providing results in terms of slope failure probability. The developed software uses the computational power offered by multicore and multiprocessor hardware, from modern workstations to supercomputing facilities (HPC), to achieve the simulation in reasonable runtimes, compatible with civil protection real time monitoring. A first test of HIRESSS in three different areas is presented to evaluate the reliability of the results and the runtime performance on large areas.

scholarly journals Design and Sensitivity Analysis of Rock Slope Using Monte Carlo Simulation

2019 ◽  
Vol 38 (1) ◽  
pp. 573-585 ◽  
Author(s):  
Adeyemi Emman Aladejare ◽  
Victor Oluwatosin Akeju
Keyword(s):  
Sensitivity Analysis ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Slope Stability ◽  
Rock Slope ◽  
Probabilistic Approach ◽  
Rock Slope Stability ◽  
Tension Crack ◽  
Perform Sensitivity Analysis ◽  
Slope Design

Abstract A probabilistic approach that is based on Monte Carlo simulation (MCS) was developed in this study to design and perform sensitivity analysis of rock slope. The probabilistic approach uses MCS to perform a series of single objective optimizations for design of rock slope and to perform sensitivity analysis of rock slope stability. The MCS-based approach was used to evaluate the failure probability of a rock slope system and to determine a safe maximum slope height for rock slope design. To achieve this, the performance of different rock properties and rock slope conditions were explicitly considered towards achieving the target reliability index of the rock slope. The approach can achieve multiple rock slope design specifications using different target reliability indexes from a single run of MCS. The proposed probabilistic approach was illustrated through an example of rock slope design to determine feasible designs under different rock slope conditions. Also, sensitivity studies were performed to explore the effects of uncertainties in tension crack depth and water depth in tension crack, and variability in rock unit weight. The results show that the effects of uncertainties and variability on rock slope stability can be significant and should be incorporated during design analysis. Incorporating such uncertainties and variability in rock slope design is achieved with relative ease using the proposed approach.

Piping Anti–Corrosion Coating Life Assessment

2014 ◽  
Author(s):  
Bahman Modiri ◽  
Mohammad Pourgol Mohammad ◽  
Mojtaba Yazdani ◽  
Farzad Nasirpouri ◽  
Farzin Salehpour
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Pitting Corrosion ◽  
Probabilistic Analysis ◽  
Reliability Index ◽  
Life Assessment ◽  
Uniform Corrosion ◽  
Analysis Framework ◽  
Internal Corrosion ◽  
Corrosion Mechanisms

The pitting corrosion is influential mechanism in determining life of pipes and coatings. Many researches have been conducted on pitting corrosion in the pipelines, resulting in development of some corrosion models. For internal corrosion, there is one main mechanism and it is the uniform corrosion, because dynamic corrosion occurs inside the pipe. However outside the pipe, two corrosion mechanisms are considered for gas pipelines: i) uniform corrosion and ii) pitting corrosion. Effect of uniform corrosion is less than the pitting corrosion, so just pitting corrosion is investigated. Calculating the depth of corroded area is the most important part in this research. This parameter is calculated with two deferent equations for pitting and uniform corrosion. Monte Carlo simulation is used for sampling and calculation of the reliability index. This index is utilized for estimating of reliability. The extended probabilistic analysis framework is applied to a typical gas pipeline.

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