Reliability evaluation of a high slope reinforced by anchor based on the stochastic finite-element method: Case study
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Reliability evaluation of a high slope reinforced by anchor based on the stochastic finite-element method: Case study
Authors
Keywords
-
Journal
Case Studies in Construction Materials
Volume -, Issue -, Pages e02650
Publisher
Elsevier BV
Online
2023-11-05
DOI
10.1016/j.cscm.2023.e02650
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Efficient Method for Calculating Slope Failure Risk Based on Element Failure Probability
- (2023) Pu Peng et al. Applied Sciences-Basel
- Non-Probabilistic Reliability Analysis of Slopes Based on a Multidimensional Parallelepiped Model
- (2023) Suxun Shu et al. Applied Sciences-Basel
- Reliability analysis of reinforced soil slope stability using GA-ANFIS, RFC, and GMDH soft computing techniques
- (2023) Rahul Ray et al. Case Studies in Construction Materials
- Assessing rainfall-induced wetting band depth for stability analysis of unsaturated soil slopes
- (2023) Shu-Rong Yang et al. Case Studies in Construction Materials
- A critical review of conventional and soft computing methods for slope stability analysis
- (2022) Prithvendra Singh et al. Modeling Earth Systems and Environment
- Application of Machine Learning Techniques for the Estimation of the Safety Factor in Slope Stability Analysis
- (2022) Yaser Ahangari Nanehkaran et al. Water
- Physico-mechanical properties of the sandstones and effect of salt crystallization on them: A comparative study between stable and unstable slopes (a case study of the Khorramabad-Zal highway in Iran)
- (2022) Sahar Pirizadeh et al. Case Studies in Construction Materials
- Numerical study on stability of lignosulphonate-based stabilized surficial layer of unsaturated expansive soil slope considering hydro-mechanical effect
- (2021) Nauman Ijaz et al. Transportation Geotechnics
- Slope Failure Prediction Using Random Forest Machine Learning and LiDAR in an Eroded Folded Mountain Belt
- (2020) Aaron E. Maxwell et al. Remote Sensing
- Ensemble learning-based classification models for slope stability analysis
- (2020) Khanh Pham et al. CATENA
- Forecasting the time of failure of landslides at slope-scale: A literature review
- (2019) Emanuele Intrieri et al. EARTH-SCIENCE REVIEWS
- Stochastic Analysis of Rainfall-Induced Slope Instability and Steady-State Seepage Flow Using Random Finite-Element Method
- (2019) A. Johari et al. International Journal of Geomechanics
- Rainfall-induced slope collapse with coupled material point method
- (2018) B. Wang et al. ENGINEERING GEOLOGY
- Numerical limit analysis of three-dimensional slope stability problems in catchment areas
- (2016) Júlia Camargo et al. Acta Geotechnica
- Effective Stress-Based Limit-Equilibrium Analysis for Homogeneous Unsaturated Slopes
- (2016) Farshid Vahedifard et al. International Journal of Geomechanics
- Slope stability analysis under unsaturated conditions: Case studies of rainfall-induced failure of cut slopes
- (2015) Seboong Oh et al. ENGINEERING GEOLOGY
- Analytical stochastic analysis of seismic stability of infinite slope
- (2015) A. Johari et al. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
- Three dimensional smoothed fixed grid finite element method for the solution of unconfined seepage problems
- (2012) Mohammad Javad Kazemzadeh-Parsi et al. FINITE ELEMENTS IN ANALYSIS AND DESIGN
- Influence of spatial variability of permeability property on steady state seepage flow and slope stability analysis
- (2009) Amit Srivastava et al. ENGINEERING GEOLOGY
- Unsaturated Infinite Slope Stability Considering Surface Flux Conditions
- (2009) Quentin B. Travis et al. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started