Effect of random field element size on reliability and risk assessment of soil slopes
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Effect of random field element size on reliability and risk assessment of soil slopes
Authors
Keywords
-
Journal
Bulletin of Engineering Geology and the Environment
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-09-04
DOI
10.1007/s10064-021-02422-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Simulation of three-dimensional random field conditioning on incomplete site data
- (2021) Zhiyong Yang et al. ENGINEERING GEOLOGY
- Stratigraphic uncertainty characterization using generalized coupled Markov chain
- (2020) Zhi-Ping Deng et al. Bulletin of Engineering Geology and the Environment
- Three-dimensional analysis of tunnel face stability in spatially variable soils
- (2019) Hongzhan Cheng et al. COMPUTERS AND GEOTECHNICS
- Estimation of autocorrelation distances for in-situ geotechnical properties using limited data
- (2019) Xiao-Hui Qi et al. STRUCTURAL SAFETY
- Effect of spatial variability of shear strength parameters on critical slip surfaces of slopes
- (2018) Xiao-Hui Qi et al. ENGINEERING GEOLOGY
- Simplified framework for system reliability analysis of slopes in spatially variable soils
- (2018) Lei-Lei Liu et al. ENGINEERING GEOLOGY
- Unsaturated soil slope characterization with Karhunen–Loève and polynomial chaos via Bayesian approach
- (2018) Hao-Qing Yang et al. ENGINEERING WITH COMPUTERS
- Robustness of Subset Simulation to Functional Forms of Limit State Functions in System Reliability Analysis: Revisiting and Improvement
- (2018) Zhi-Yong Yang et al. IEEE TRANSACTIONS ON RELIABILITY
- Advanced reliability analysis of slopes in spatially variable soils using multivariate adaptive regression splines
- (2018) Lei-Lei Liu et al. Geoscience Frontiers
- Discretization error in the random finite element method for spatially variable undrained shear strength
- (2018) Mohammad Tabarroki et al. COMPUTERS AND GEOTECHNICS
- Area failure probability method for slope system failure risk assessment
- (2018) Dian-Qing Li et al. COMPUTERS AND GEOTECHNICS
- Stepwise covariance matrix decomposition for efficient simulation of multivariate large-scale three-dimensional random fields
- (2018) Dian-Qing Li et al. APPLIED MATHEMATICAL MODELLING
- Probabilistic evaluation of tunnel face stability in spatially random soils using sparse polynomial chaos expansion with global sensitivity analysis
- (2017) Qiujing Pan et al. Acta Geotechnica
- Rock-soil slope stability analysis by two-phase random media and finite elements
- (2017) Yong Liu et al. Geoscience Frontiers
- Random field characterization of uniaxial compressive strength and elastic modulus for intact rocks
- (2017) Hua-Xin Liu et al. Geoscience Frontiers
- Efficient and consistent reliability analysis of soil slope stability using both limit equilibrium analysis and finite element analysis
- (2016) Dian-Qing Li et al. APPLIED MATHEMATICAL MODELLING
- Optimization of site investigation program for improved statistical characterization of geotechnical property based on random field theory
- (2016) Wenping Gong et al. Bulletin of Engineering Geology and the Environment
- Risk assessment of slope failure considering multiple slip surfaces
- (2016) J. Zhang et al. COMPUTERS AND GEOTECHNICS
- Three-dimensional slope reliability and risk assessment using auxiliary random finite element method
- (2016) Te Xiao et al. COMPUTERS AND GEOTECHNICS
- Response surface methods for slope reliability analysis: Review and comparison
- (2016) Dian-Qing Li et al. ENGINEERING GEOLOGY
- Effect of Element Size in Random Finite Element Analysis for Effective Young’s Modulus
- (2016) Jianye Ching et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Determining an appropriate finite element size for modelling the strength of undrained random soils
- (2015) J. Huang et al. COMPUTERS AND GEOTECHNICS
- Efficient System Reliability Analysis of Slope Stability in Spatially Variable Soils Using Monte Carlo Simulation
- (2015) Shui-Hua Jiang et al. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
- Probabilistic slope stability analysis by risk aggregation
- (2014) Liang Li et al. ENGINEERING GEOLOGY
- Slope reliability analysis considering spatially variable shear strength parameters using a non-intrusive stochastic finite element method
- (2013) Shui-Hua Jiang et al. ENGINEERING GEOLOGY
- Effect of element sizes in random field finite element simulations of soil shear strength
- (2012) Jianye Ching et al. COMPUTERS & STRUCTURES
- Simulating Spatial Averages of Stationary Random Field Using the Fourier Series Method
- (2012) Sanjay Kumar Jha et al. JOURNAL OF ENGINEERING MECHANICS
- Application of the Kriging-Based Response Surface Method to the System Reliability of Soil Slopes
- (2012) J. Zhang et al. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
- Practical reliability analysis of slope stability by advanced Monte Carlo simulations in a spreadsheet
- (2010) Yu Wang et al. CANADIAN GEOTECHNICAL JOURNAL
- Influence of heterogeneity on the reliability and failure of a long 3D slope
- (2010) M.A. Hicks et al. COMPUTERS AND GEOTECHNICS
- SYSTEM RELIABILITY OF SLOPES BY RFEM
- (2010) JINSONG HUANG et al. SOILS AND FOUNDATIONS
- Efficient Evaluation of Reliability for Slopes with Circular Slip Surfaces Using Importance Sampling
- (2009) Jianye Ching et al. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
- Probabilistic Assessment of Slope Stability That Considers the Spatial Variability of Soil Properties
- (2009) Sung Eun Cho JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started