4.7 Article

Time-dependent reliability analysis of unsaturated slopes under rapid drawdown with intelligent surrogate models

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

Non-intrusive reliability analysis of unsaturated embankment slopes accounting for spatial variabilities of soil hydraulic and shear strength parameters

Shui-Hua Jiang et al.

Summary: This paper presents a non-intrusive approach to reliability analysis of unsaturated embankment slopes, considering the spatial variabilities of hydraulic parameters and shear strength parameters. By conducting parametric sensitivity studies on a hypothetical unsaturated seepage embankment, the authors find that the variability of the fitting parameter n of the soil-water characteristic curve (SWCC) decreases the probability of failure of the embankment slope.

ENGINEERING WITH COMPUTERS (2022)

Article Engineering, Geological

Time-varying reliability analysis of Majiagou landslide based on weakening of hydro-fluctuation belt under wetting-drying cycles

Kang Liao et al.

Summary: The impoundment of the Three Gorges Reservoir has significant impacts on the storage area, especially regarding the frequent reservoir landslides. This study shows that the reservoir water level scheduling has a significant influence on the displacement and behavior of landslides within the hydro-fluctuation belt, with a lag effect observed in the migration of the seepage field.

LANDSLIDES (2021)

Article Engineering, Geological

Novel approach to efficient slope reliability analysis in spatially variable soils

Ze-Zhou Wang et al.

Summary: The study introduces a metamodel-based method using Convolutional Neural Networks (CNNs) for efficient slope reliability analysis in spatially variable soils. By training CNNs with random field samples, the method can replace computationally demanding RF-FEM analyses for accurate predictions at a fraction of the cost. Results demonstrate the effectiveness of the proposed CNN approach in terms of computational efficiency and accuracy compared to other metamodel-based methods.

ENGINEERING GEOLOGY (2021)

Article Engineering, Multidisciplinary

Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil

Quang Hung Nguyen et al.

Summary: This study evaluated and compared the performance of different machine learning algorithms in predicting soil shear strength at various training to testing ratios. The results showed that the Artificial Neural Network (ANN) model was the most accurate and statistically stable. A 70/30 ratio exhibited the best model performance.

MATHEMATICAL PROBLEMS IN ENGINEERING (2021)

Article Economics

Kaggle forecasting competitions: An overlooked learning opportunity

Casper Solheim Bojer et al.

Summary: This study reviews the results of six forecasting competitions on the Kaggle platform, highlighting the advantages of ensemble models, gradient boosted decision trees, and neural networks. It also mentions the impact of using external information, validation strategies, and data characteristics on the choice of machine learning methods.

INTERNATIONAL JOURNAL OF FORECASTING (2021)

Article Engineering, Environmental

Probabilistic stability analysis of earth dam slope under transient seepage using multivariate adaptive regression splines

Lin Wang et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2020)

Article Computer Science, Interdisciplinary Applications

Reliability analysis of rapid drawdown of an earth dam using direct coupling

A. T. Siacara et al.

COMPUTERS AND GEOTECHNICS (2020)

Article Engineering, Geological

Influences of reservoir water level drawdown on slope stability and reliability analysis

Xuecheng Gao et al.

GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS (2019)

Article Engineering, Geological

On the efficient estimation of small failure probability in slopes

Jinsong Huang et al.

LANDSLIDES (2017)

Article Engineering, Multidisciplinary

Slope reliability analysis using surrogate models via new support vector machines with swarm intelligence

Fei Kang et al.

APPLIED MATHEMATICAL MODELLING (2016)

Article Computer Science, Interdisciplinary Applications

Efficient slope reliability analysis at low-probability levels in spatially variable soils

Shui-Hua Jiang et al.

COMPUTERS AND GEOTECHNICS (2016)

Article Computer Science, Interdisciplinary Applications

Artificial Bee Colony Algorithm Optimized Support Vector Regression for System Reliability Analysis of Slopes

Fei Kang et al.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2016)

Article Computer Science, Artificial Intelligence

System reliability analysis of slopes using least squares support vector machines with particle swarm optimization

Fei Kang et al.

NEUROCOMPUTING (2016)

Article Computer Science, Interdisciplinary Applications

System probabilistic stability analysis of soil slopes using Gaussian process regression with Latin hypercube sampling

Fei Kang et al.

COMPUTERS AND GEOTECHNICS (2015)

Article Engineering, Geological

Efficient System Reliability Analysis of Slope Stability in Spatially Variable Soils Using Monte Carlo Simulation

Shui-Hua Jiang et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2015)

Article Engineering, Mechanical

MCMC algorithms for Subset Simulation

Iason Papaioannou et al.

PROBABILISTIC ENGINEERING MECHANICS (2015)

Article Engineering, Geological

Simplified probabilistic slope stability design charts for cohesive and cohesive-frictional (c-φ) soils

Sina Javankhoshdel et al.

CANADIAN GEOTECHNICAL JOURNAL (2014)

Article Engineering, Geological

Application of the Kriging-Based Response Surface Method to the System Reliability of Soil Slopes

J. Zhang et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2013)

Article Geosciences, Multidisciplinary

Slope reliability analysis by updated support vector machine and Monte Carlo simulation

Shaojun Li et al.

NATURAL HAZARDS (2013)

Article Statistics & Probability

Latin hypercube sampling with multidimensional uniformity

Jared L. Deutsch et al.

JOURNAL OF STATISTICAL PLANNING AND INFERENCE (2012)

Article Engineering, Geological

Canelles landslide: modelling rapid drawdown and fast potential sliding

Nuria M. Pinyol et al.

LANDSLIDES (2012)

Article Engineering, Geological

Probabilistic Analysis of Soil-Water Characteristic Curves

Kok-Kwang Phoon et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2010)

Article Engineering, Geological

Influence of Spatial Variability on Slope Reliability Using 2-D Random Fields

D. V. Griffiths et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2009)

Article Engineering, Mechanical

Correlation control in small-sample Monte Carlo type simulations I: A simulated annealing approach

M. Vorechovsky et al.

PROBABILISTIC ENGINEERING MECHANICS (2009)

Article Environmental Sciences

Rapid drawdown in slopes and embankments

Nuria M. Pinyol et al.

WATER RESOURCES RESEARCH (2008)

Article Engineering, Geological

Probabilistic slope stability analysis by finite elements

DV Griffiths et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2004)

Article Engineering, Geological

Assessment of stability of slopes under drawdown conditions

PA Lane et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2000)