Analytical stochastic analysis of seismic stability of infinite slope

Johari, A.; Khodaparast, Aryorad

doi:10.1016/j.soildyn.2015.08.012

Cited by 33 publications

(6 citation statements)

References 16 publications

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“…Hence, maintaining the stability of such massive structures plays a vital role in the proper functioning of mining activities. Shear strength of dumps can be defined by cohesion (c) and angle of internal function ( ) 3 , 5 . These two parameters c and are controlled mainly by the size distribution of dump particles 6 , 7 .…”

Section: Introductionmentioning

confidence: 99%

Segmentation of mine overburden dump particles from images using Mask R CNN

Shrivastava

Bhattacharjee

Deb

2023

Sci Rep

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The stability of mine overburden dumps is crucial for the efficient operation of mining industries. The size distribution of particles affects the shear strength of dump slopes. Identification of dump particles from images is challenging as they vary in size, shape, color, granularity, and texture. In this paper, a unique way of identifying the particles from dump images using Artificial Intelligence is presented that can be used to determine the particle size distribution of dump. Mask R CNN with ResNet50 plus an FPN as a backbone network which is the current state of the art for instance segmentation has been implemented to segment the particles from dump images at detailed pixel level and to obtain their boundary. Experimental results showed promising results to delineate the particles and obtain masks over them. Our model has achieved a training accuracy of 97.2% for the dataset containing 31,505 particles. The model predicted the areas of dump particles with a mean percentage error of 0.39% and a standard deviation of 0.25 when compared to the ground truth values. The calculation of coordinates of the detected boundaries using the model significantly reduces the time and effort that are generally put in rock mechanics laboratories.

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Section: Introductionmentioning

confidence: 99%

Segmentation of mine overburden dump particles from images using Mask R CNN

Shrivastava

Bhattacharjee

Deb

2023

Sci Rep

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“…Outstanding progresses on studies on stability analysis of embankment have been achieved through unremitting endeavours of scholars in the world. Currently, stability analysis of embankment can be generally divided into ultimate equilibrium analysis method [1,2], random theoretical analysis method [3,4], numerical analysis method [5,6], and neural network algorithm [7,8] according to theoretical bases and analysis principles.…”

Section: Introductionmentioning

confidence: 99%

Stability of High Rockfill Embankment Based on Orthogonal Test and Numerical Simulation

2020

Teh. vjesn.

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The parameters of rockfill materials are important factors that influence the stability of high rockfill embankment. However, the influencing laws of parameter changes on the deformation of high rockfill embankments still remain unknown. To deepen understanding on the influencing laws of parameters of rockfill materials on the stability of high rockfill embankment, a case study using an orthogonal test and numerical simulation was conducted on the high rockfill embankment with 50.6 m banking in the secondary road reconstruction project of the national highway 316 from Xunyang to Ankang in the Shaanxi Province of China. The influences of elasticity modulus, dry density, Poisson's ratio, frictional angle, and cohesion on the stability of high rockfill embankment were analyzed. A three-dimensional numerical model of high rockfill embankment was constructed using FLAC3D, and a numerical simulation of the embankment deformation was performed using the maximum settlement of embankment as the evaluation index. The influences of different factors on the deformation of high rockfill embankment were evaluated through a numerical simulation based on the orthogonal test to verify the accuracy of the orthogonal test. In addition, the deformation law of high rockfill embankment was examined. Research results demonstrate that dry density predominantly influences the stability of high rockfill embankment, followed by elasticity modulus, Poisson's ratio, cohesion, and frictional angle. The optimal combination of parameters of rockfill materials was concluded from further analysis. The numerical simulation and orthogonal test results are consistent. The top surface of the high rockfill embankment develops settlement deformation during the construction period, accompanied by outward lateral squeezing trend at the foot of slope. The vertical deformation consists of settlement first and then upheaval. Research conclusions can provide some references for the reasonable selection of rockfill materials for embankment and the stability analysis of high rockfill embankment.

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“…In the interest of predicting the stability of slope, numerous scholars have paid their attention to this problem. Cha and Kim [1] evaluated the effect of shape and length of slope and soil depth for a slope stability analysis with topography; Garevski et al [2] presented an advanced methodology for predicting the slope stability under a seismic wave by taking into account the uncertainties related to the main input parameters; Pinheiro et al [3] adopted a new empirical system for assessing the rock slope stability analysis during the exploitation stage; Johari and Khodaparast [4] used an analytical stochastic analysis method to solve the seismic stability of infinite slope problem; Mnzool et al [5] made a research on the southern slope stability of the Chengmenshan copper mine, China; Li et al [6] estimated the slope stability uncertainty by using the coupled Markov chain; Li et al [7] studied the influence of the spatial layout of plant roots on the slope stability; Nian et al [8] also analyzed the seismic stability of slope reinforced with a row of piles, and optimized the position of the pile in a seismic area. For the slope instability, the inherent joints and fissures are the most important influence factors for the stability.…”

Section: Introductionmentioning

confidence: 99%

Adopting method of key block and energy distribution to predict the slope stability under blasting

Li¹,

Chen²,

Li³

2017

J. vibroeng.

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At present, an important slope stability analysis method consists in the evaluation of the bearing capacity of key block, which is located between the joints and fissures in rock mass, and plays the decisive role on the slope stability. Because of the defective equivalent accuracy and elusory mechanical path, the traditional analysis methods have some inevitable errors. However, the energy theory can avoid the above defects easily, in this paper, the analytical input energies are potential energy and blasting vibration energy, and the consumed energies are fractured dissipative energy, friction dissipative energy and kinetic energy of instability. In order to eliminate the size effect problem, it is necessary to emphasize each part of energy expression as the energy density form. And the first four items would be confirmed by different theories and tests, so that the instability kinetic energy could be evaluated by the energy conservation law, and then the instability velocity could be calculated to predict the instability grade of slope.

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Analytical stochastic analysis of seismic stability of infinite slope

Cited by 33 publications

References 16 publications

Segmentation of mine overburden dump particles from images using Mask R CNN

Segmentation of mine overburden dump particles from images using Mask R CNN

Stability of High Rockfill Embankment Based on Orthogonal Test and Numerical Simulation

Adopting method of key block and energy distribution to predict the slope stability under blasting

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