专题：Dam Engineering and Safety

This cluster of papers focuses on the statistics, mechanisms, and modelling of embankment dam failures, including topics such as internal erosion, piping phenomena, seismic analysis, suffusion characteristics in granular soils, and the deformation of concrete dams. It also explores hydraulic gradients and breaching parameters.
最新文献
Dynamic Analysis of Pore Water Pressure Variation and Stability in Earth Dams During Rapid and Slow Drawdown: Khassa Chai Earth Dam as a Case Study

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Underwater concrete crack detection of dams via CycleGAN-based data enhancement and optimized multi-scale YOLO11

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Optimization of Earth Dam Cross-Sections Using the Max–Min Ant System and Artificial Neural Networks with Real Case Studies

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Field and numerical investigations of canal damage characteristics and mechanisms under coupled drying-wetting and freezing-thawing cycles

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The Failure Process and Stability Analysis of Earthen Dam Under the Coupling Effect of Seepage–Suffusion–Stress

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Image-based study of SRM seepage considering the surface roughness

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Energy evolution and constitutive model for damage of degraded limestone under coupling effects of hydrodynamic-stress-chemical corrosion

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Deterioration and damage characteristics of rock masses within the fluctuating zone, Three Gorges Reservoir Area, China

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Machine learning models for reinforced concrete pipes condition prediction: the state-of-the-art using artificial neural networks and multiple linear regression in a Wisconsin case study

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Crack analysis of the foundation gallery within an asphalt concrete core dam based on 3D SBFEM-PFM

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近5年高被引文献
A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials

article Full Text OpenAlex 352 FWCI39.75

Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost)

article Full Text OpenAlex 307 FWCI83.6908

Machine learning and landslide studies: recent advances and applications

article Full Text OpenAlex 240 FWCI64.8987

Slope stability prediction using ensemble learning techniques: A case study in Yunyang County, Chongqing, China

article Full Text OpenAlex 233 FWCI65.523

A comparative study of different machine learning methods for reservoir landslide displacement prediction

article Full Text OpenAlex 214 FWCI59.8378

An interpretable model for the susceptibility of rainfall-induced shallow landslides based on SHAP and XGBoost

article Full Text OpenAlex 165 FWCI45.8793

Displacement prediction of Jiuxianping landslide using gated recurrent unit (GRU) networks

article Full Text OpenAlex 161 FWCI45.8459

Riverside Landslide Susceptibility Overview: Leveraging Artificial Neural Networks and Machine Learning in Accordance with the United Nations (UN) Sustainable Development Goals

article Full Text OpenAlex 152 FWCI65.8935

Machine learning-based landslide susceptibility assessment with optimized ratio of landslide to non-landslide samples

article Full Text OpenAlex 146 FWCI40.2088

Solid grain migration on hydraulic properties of fault rocks in underground mining tunnel: Radial seepage experiments and verification of permeability prediction

article Full Text OpenAlex 144 FWCI18.7374