Slope system stability reliability analysis with multi-parameters using generalized probability density evolution method

Zai, Dezhi; Pang, Rui; Xu, Bin; Fan, Qunying; Jing, Mingyuan

doi:10.1007/s10064-021-02399-9

Cited by 10 publications

(3 citation statements)

References 76 publications

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“…The reliability analysis of engineering has made great progress in the field of earthquakeresistant engineering research in recent years [16,17]. The system of reliability analysis of earthquake-resistant measures has four main steps: (1) multiple groups of random ground motion processes are generated, based on the non-stationary ground motion model; (2) the finite element model and the input the generated groups of random ground motions are utilized for batch computing; (3) the probability density function (PDF) and the cumulative distribution function (CDF) are obtained for dam safety performance indices, combined with the generalized probability density evolution theory; and (4) based on these steps, a probability model is constructed to analyze the reliability of a dam before and after the application of earthquake-resistant measures, so seismic performance may be evaluated.…”

Section: Reliability Analysis Methods Based On Stochastic Dynamicsmentioning

confidence: 99%

Reliability Analysis of High Concrete-Face Rockfill Dams and Study of Seismic Performance of Earthquake-Resistant Measures Based on Stochastic Dynamic Analysis

Rong

et al. 2021

Mathematics

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The randomness of earthquake excitation has a significant impact on the seismic performance of high earth-rock dams. In this paper, the seismic performance of geosynthetic-reinforced soil structures (GRSS) of high concrete face rockfill dams (CFRDs) is evaluated from the stochastic perspective. Multiple groups of seismic ground motions are generated based on spectral expression-random function non-stationary model. Taking Gushui CFRD as an example, this study calculates the failure probability of each damage level of non-reinforce slopes and reinforce slopes based on generalized probability density evolution method (GPDEM) and reliability analysis is presented though multiple evaluation indicators. The result shows that GRSS can reduce the mild damage of CFRDs during earthquake and restrain the moderate and severe damage. The influence of vertical spacing and length of GRSS on the seismic performance is obtained, which provides a reference for the seismic design and risk analysis of CFRDs.

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Section: Reliability Analysis Methods Based On Stochastic Dynamicsmentioning

confidence: 99%

Reliability Analysis of High Concrete-Face Rockfill Dams and Study of Seismic Performance of Earthquake-Resistant Measures Based on Stochastic Dynamic Analysis

Rong

et al. 2021

Mathematics

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“…The uncertainty analysis method (Li et al, 2016;Deng et al, 2017) refers to the analysis and calculation of slope stability by using the uncertainty principle and the method based on the deformation data of slope rock and soil mass obtained by investigation technology. Uncertainty analysis includes reliability analysis (Zai et al, 2021), fuzzy mathematics analysis (Li et al, 2015;Azarafza et al, 2021a), grey system analysis (Zhang and Xu, 2019), neural network analysis (Ray et al, 2020;Meng et al, 2021;Hu et al, 2022), genetic algorithm (Xu et al, 2019), cluster analysis (Alimohammadlou et al, 2014), and machine learning (Wang et al, 2020b;Xu et al, 2022;Zhang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of rock slope under Sujiaba overpass in Chongqing City based on kinematic and numeric methods

Li²,

Zhang

et al. 2023

Front. Earth Sci.

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Rock slopes have the characteristics of complex geological conditions, weak structural surface development, steep slope, and great damage. In this study, the Sujiaba overpass slope in Chongqing was selected as the evaluation object, and the main stability evaluation methods of rock slope were analyzed. Combined with the special geological conditions and geographical location of the rock slope, through a geological survey, the slope was qualitatively analyzed based on the stereographic projection method, and the slope stability safety factor was calculated by using the finite element strength reduction method. FLAC3D was used to simulate the initial stress state of the unstable rock mass, the limit state stability of the unstable rock mass before bolt support, and the stability after bolt support. The simulation results show that the stability coefficients of selected unstable rock masses W1, W2, W6, and W7 under the limit state before bolt support are, respectively, 1.22, 1.80, 5.90, and 2.10. Unstable rock masses separate from the parent rock, causing a large displacement due to their instability and downward sliding. After bolt support, stability coefficients for those four unstable rock masses are 1.60, 2.40, 8.60, and 3.20, respectively. Under the same reduction coefficient, rock masses are stable and the displacement is small. The results show that the calculation results of the initial stress state of the rock slope are consistent with the theoretical understanding and field investigation. After the implementation of bolt support, the anti-sliding stability of unstable rock is obviously improved. The research results have important scientific guiding significance and practical value for revealing the failure mechanism of rock slope and analyzing the stability of unstable rock mass.

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“…Accordingly, stability analysis of slope engineering is a very challenging task. Studies show that relying only on a single index or analysis method may lead to inaccurate results that cannot be used in engineering applications [7,8].…”

Section: Introductionmentioning

confidence: 99%

Investigating Reliability of Duimenshan High Rock Slope in Gejiu, Yunnan Province Based on the Monte Carlo Method

Fayou

Pan

et al. 2022

Geofluids

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A slope is a complex engineering geological body that contains many uncertainties. In the present study, the high rock slope of Duimenshan in Gejiu, China is taken as the research object, and the Monte Carlo method is used to perform the analyses. Firstly, based on a large number of rock mass discontinuities, the Fuzzy C-Means (FCM) clustering algorithm is used to determine the dominant discontinuities. Secondly, the affecting parameters of the rock mass such as cohesion, internal friction angle, horizontal seismic acceleration coefficient, and water-filled depth coefficient are taken as random variables, and the failure probability of the slope and the failure index corresponding to different slope heights and slopes are obtained as the output parameter. The obtained results show that the target reliability index of the slope in a certain range of the slope height is far from the safety value, indicating that the slope is unstable, and the combination of slope height and slope angle affects the reliability of the slope. More specifically, as the slope height and angle increase, the number of samples with a stability coefficient of less than 1 increases, thereby increasing the failure probability of the slope indicating that the slope is stable. It is found that unless the slope height is small, it is the main factor of stability. However, when the slope height exceeds 33 m, the effect of the slope inclination on the stability increases gradually.

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Slope system stability reliability analysis with multi-parameters using generalized probability density evolution method

Cited by 10 publications

References 76 publications

Reliability Analysis of High Concrete-Face Rockfill Dams and Study of Seismic Performance of Earthquake-Resistant Measures Based on Stochastic Dynamic Analysis

Reliability Analysis of High Concrete-Face Rockfill Dams and Study of Seismic Performance of Earthquake-Resistant Measures Based on Stochastic Dynamic Analysis

Stability analysis of rock slope under Sujiaba overpass in Chongqing City based on kinematic and numeric methods

Investigating Reliability of Duimenshan High Rock Slope in Gejiu, Yunnan Province Based on the Monte Carlo Method

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