A5100659604- Rock Mechanics and Modeling
- Landslides and related hazards
- Dam Engineering and Safety
- Geotechnical Engineering and Analysis
- Probabilistic and Robust Engineering Design
- Soil and Unsaturated Flow
- Geomechanics and Mining Engineering
- Geotechnical Engineering and Underground Structures
- Groundwater flow and contamination studies
- Geoscience and Mining Technology
- Grouting, Rheology, and Soil Mechanics
- Geophysical Methods and Applications
- Geotechnical and Geomechanical Engineering
- Hydraulic Fracturing and Reservoir Analysis
- Numerical methods in engineering
- Tunneling and Rock Mechanics
- Geotechnical Engineering and Soil Mechanics
- Blasting Impact and Analysis
- Structural Response to Dynamic Loads
- Drilling and Well Engineering
- Concrete Corrosion and Durability
- Tree Root and Stability Studies
- Cryospheric studies and observations
- Fluid Dynamics Simulations and Interactions
- High-Velocity Impact and Material Behavior
Nanchang University
2016-2025
Wuhan University
2010-2020
Purdue University Northwest
2016
Center for Innovation
2016
State Key Laboratory of Water Resources and Hydropower Engineering Science
2008-2015
South China University of Technology
2015
China Institute of Water Resources and Hydropower Research
2011
Institute of Rock and Soil Mechanics
2006
Monte Carlo simulation (MCS) provides a conceptually simple and robust method to evaluate the system reliability of slope stability, particularly in spatially variable soils. However, it suffers from lack efficiency at small probability levels, which are great interest geotechnical design practice. To address this problem, paper develops MCS-based approach for efficient evaluation failure Pf,s stability The proposed allows explicit modeling inherent spatial variability soil properties...
To perform landslide susceptibility prediction (LSP), it is important to select appropriate mapping unit and landslide-related conditioning factors. The efficient automatic multi-scale segmentation (MSS) method proposed by the authors promotes application of slope units. However, LSP modeling based on these units has not been performed. Moreover, heterogeneity factors in neglected, leading incomplete input variables modeling. In this study, extracted MSS are used construct modeling,...
Most literature related to landslide susceptibility prediction only considers a single type of landslide, such as colluvial rock fall or debris flow, rather than different types, which greatly affects performance. To construct efficient considering Huichang County in China is taken example. Firstly, 105 falls, 350 landslides and 11 environmental factors are identified. Then four machine learning models, namely logistic regression, multi-layer perception, support vector C5.0 decision tree...
This paper presents a hysteretic water retention curve (WRC) and unsaturated hydraulic conductivity model for deformable soils based on the change in pore-size distribution (PSD). The PSD plays decisive role behaviour of soils. Although its evolution during deformation is rather complicated, experimental data showed that overall shapes characteristics function are not significantly altered. Based these findings, at deformed state obtained by horizontal shifting vertical scaling corresponding...
SUMMARY This paper aims to propose a procedure for modeling the joint probability distribution of bivariate uncertain data with nonlinear dependence structure. First, concept measures is briefly introduced. Then, both Akaike Information Criterion and Bayesian are adopted identifying best‐fit copula. Thereafter, simulation copulas distributions based on Monte Carlo presented. Practical application serviceability limit state reliability analysis piles conducted. Finally, four load–test...