Probabilistic data-driven framework for performance assessment of retaining walls against rockfalls
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Probabilistic data-driven framework for performance assessment of retaining walls against rockfalls
Authors
Keywords
-
Journal
PROBABILISTIC ENGINEERING MECHANICS
Volume 70, Issue -, Pages 103339
Publisher
Elsevier BV
Online
2022-07-25
DOI
10.1016/j.probengmech.2022.103339
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- High mountain rockfall dynamics: rockfall activity and runout assessment under the aspect of a changing cryosphere
- (2021) Bettina Knoflach et al. GEOGRAFISKA ANNALER SERIES A-PHYSICAL GEOGRAPHY
- Risk assessment approach for rockfall hazards in steeply dipping coal seams
- (2021) Yongping Wu et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Machine learning–based uncertainty modelling of mechanical properties of soft clays relating to time‐dependent behavior and its application
- (2021) Pin Zhang et al. INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
- Numerical simulation of responses of flexible rockfall barriers under impact loading at different positions
- (2020) Lei Zhao et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms
- (2020) Pin Zhang et al. Geoscience Frontiers
- Numerical simulation of rockfall trajectory with consideration of arbitrary shapes of falling rocks and terrain
- (2020) Peng Yan et al. COMPUTERS AND GEOTECHNICS
- Dynamic rockfall risk analysis
- (2020) Xueliang Wang et al. ENGINEERING GEOLOGY
- Dynamic velocity and seismic characteristics of gravitational rockfalls at the Merapi lava dome
- (2020) Herlan Darmawan et al. JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH
- Quantile-based individual risk measures for rockfall-prone areas
- (2020) Manon Farvacque et al. International Journal of Disaster Risk Reduction
- A computational design optimization method for rockfall protection embankments
- (2020) Hasuka Kanno et al. ENGINEERING GEOLOGY
- A novel hybrid surrogate intelligent model for creep index prediction based on particle swarm optimization and random forest
- (2019) Pin Zhang et al. ENGINEERING GEOLOGY
- The September 19, 2017 Mw 7.1 Puebla-Mexico City earthquake: Observed rockfall and landslide activity
- (2019) Jack Montgomery et al. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
- The assessment of slope stability along NH-22 in Rampur-Jhakri Area, Himachal Pradesh
- (2016) Kripamoy Sarkar et al. JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA
- Rockfall triggering by cyclic thermal stressing of exfoliation fractures
- (2016) Brian D. Collins et al. Nature Geoscience
- Empirical Model for Predicting Rockfall Trajectory Direction
- (2015) Pavlos Asteriou et al. ROCK MECHANICS AND ROCK ENGINEERING
- Determining Rockfall Risk in Christchurch Using Rockfalls Triggered by the 2010–2011 Canterbury Earthquake Sequence
- (2014) Chris I. Massey et al. EARTHQUAKE SPECTRA
- The mechanism of rockfall disaster: A case study from Badouzih, Keelung, in northern Taiwan
- (2014) Lun-Wei Wei et al. ENGINEERING GEOLOGY
- Earthquake-induced rockfall hazard zoning
- (2014) Andrea Valagussa et al. ENGINEERING GEOLOGY
- Assessment of tunnel instability—a numerical approach
- (2009) Amit K. Verma et al. Arabian Journal of Geosciences
- Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index
- (2009) Andrea Saltelli et al. COMPUTER PHYSICS COMMUNICATIONS
- Rockfall susceptibility zoning at a large scale: From geomorphological inventory to preliminary land use planning
- (2008) Ramon Copons et al. ENGINEERING GEOLOGY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now