Particle swarm optimization variants for solving geotechnical problems: review and comparative analysis
Optimization techniques have drawn much attention for solving geotechnical engineering
problems in recent years. Particle swarm optimization (PSO) is one of the most widely used …
problems in recent years. Particle swarm optimization (PSO) is one of the most widely used …
[HTML][HTML] Probability methods for stability design of open pit rock slopes: an overview
M Abdulai, M Sharifzadeh - Geosciences, 2021 - mdpi.com
The rock slope stability analysis can be performed using deterministic and probabilistic
approaches. The deterministic analysis based on the safety concept factor uses fixed …
approaches. The deterministic analysis based on the safety concept factor uses fixed …
Probabilistic slope stability analysis of Heavy-haul freight corridor using a hybrid machine learning paradigm
With the rising freight demand, specialized heavy-haul railway corridors allow heavier trains
to transport heavy freight, improving productivity and lowering unit costs. Generally, a heavy …
to transport heavy freight, improving productivity and lowering unit costs. Generally, a heavy …
Probabilistic stability analyses of multi-stage soil slopes by bivariate random fields and finite element methods
MY Wang, Y Liu, YN Ding, BL Yi - Computers and Geotechnics, 2020 - Elsevier
This study aimed to investigate the stability of multi-stage drained and undrained slopes
considering the spatial variability in soil properties. A bivariate random field was adopted to …
considering the spatial variability in soil properties. A bivariate random field was adopted to …
[HTML][HTML] Reliability analysis of reinforced soil slope stability using GA-ANFIS, RFC, and GMDH soft computing techniques
Soil is a heterogeneous medium, the characteristics that determine soil slope stability are
highly variable, making the analysis a difficult task. The present research approach is …
highly variable, making the analysis a difficult task. The present research approach is …
Back-analysis of a rainfall-induced landslide case history using deterministic and random limit equilibrium methods
CH Wang, L Fang, DTT Chang, FC Huang - Engineering Geology, 2023 - Elsevier
Because recurrent rainfall-induced landslide episodes mimic prior failures, this study builds
a back-analysis approach to identify those prior failure events and assess the prospective …
a back-analysis approach to identify those prior failure events and assess the prospective …
A new approach to assess landslide susceptibility based on slope failure mechanisms
Q Zou, H Jiang, P Cui, B Zhou, Y Jiang, M Qin, Y Liu… - Catena, 2021 - Elsevier
Susceptibility assessments are crucial in identifying hazards in densely populated mountain
areas featuring active internal and external dynamic geological processes. A …
areas featuring active internal and external dynamic geological processes. A …
Application of MCS, GRNN, and GPR for performing the reliability analysis of rock slope
The failure of rock slopes leads to disastrous consequences and thus necessitates their
reliability analysis. There are various methods to perform the reliability analysis of a rock …
reliability analysis. There are various methods to perform the reliability analysis of a rock …
Machine learning-enhanced Monte Carlo and subset simulations for advanced risk assessment in transportation infrastructure
The maintenance of safety and dependability in rail and road embankments is of utmost
importance in order to facilitate the smooth operation of transportation networks. This study …
importance in order to facilitate the smooth operation of transportation networks. This study …
Slope stability analysis of heavy-haul freight corridor using novel machine learning approach
In response to the increasing demand for freight transportation, specialized heavy-haul
railway lines were constructed to accommodate larger trains carrying heavier loads. This led …
railway lines were constructed to accommodate larger trains carrying heavier loads. This led …