A physics-informed framework for earthquake-induced landslide hazard assessment considering faulting style and ground motion directionality
June 2026
Accurate assessment of earthquake-induced landslide (EIL) hazard remains challenging because landslide occurrence is jointly controlled by faulting style, pulse-like ground motions, ground motion directionality,...
Landslide risk assessment of Guangdong expressway network using random forest and complex network topological analysis
June 2026
Expressways constitute essential lifeline infrastructure supporting regional interconnection and optimizing social spatial patterns. However, geohazards including landslides severely threaten expressway...
Research on road crack classification based on ResUNet semantic segmentation and projection features
June 2026
Pavement cracks are one of the most common types of road distresses, making their identification and classification essential for intelligent road inspection and maintenance decision-making. Nevertheless,...
Landslide risk prediction in near-fault areas based on 3D ground motion simulation
June 2026
Seismic landslide risk assessment in near-fault areas requires highly reliable ground motion input data. This study takes the 2016 Kumamoto, Japan, Mw 7.1 earthquake as a case study and proposes an...
Physics-informed reconstruction of transient seepage fields in slopes under rainfall infiltration from sparse observations
June 2026
Rainfall infiltration induces transient seepage responses in slopes, but continuous reconstruction of internal hydraulic fields remains difficult under nonlinear unsaturated flow, complex boundaries,...
Physical Attribute Atlas-Driven Machine Learning Model for Co-seismic Landslide Prediction
Available online 15 June 2026
Earthquake-induced landslide susceptibility prediction (ELSP) provides a critical scientific basis for post-earthquake emergency response and reconstruction planning. A fundamental challenge lies in...
UAV Based Falling Object Risk Assessment of Damaged Building Façades Using Visible and Thermal Infrared Images
Available online 15 June 2026
Extreme wind, heavy rainfall, solar radiation, and thermal cycling can accelerate the degradation of interfacial bonding in existing building façade systems. Conventional manual hammer sounding, gondola...
A Pipeline Approach for Entity and Relationship Extraction in Geological Hazard Texts Using BERT-BiLSTM-CRF with Self-Attention
Available online 14 June 2026
Geohazard knowledge is a vital component of geological knowledge bases, playing a crucial role in disaster prevention and risk assessment. However, existing information extraction methods struggle with...
Machine Learning-Based Prediction of Cumulative Dynamic Strain of Malan Loess under Wetting Conditions in Zhengzhou Area
Available online 9 June 2026
To investigate the development of cumulative dynamic strain in Zhengzhou loess under wetting conditions and to develop a corresponding predictive framework, this study integrates dynamic triaxial testing...
Generalizable digital rock image segmentation under limited data with the segment anything model
March 2026
Accurate segmentation of digital rock images is essential for characterizing pore–matrix systems and predicting petrophysical properties. However, the diversity of rock textures across different lithologies...
Comparative evaluation of threshold-based and CNN-based segmentation methods for multi-modal digital images of geotechnical materials
March 2026
This study systematically evaluates the performance of 15 conventional global single-threshold segmentation algorithms and three representative convolutional neural network (CNN) models across multi-modal...
Quantitative morphological analysis of rock particles on laser scanner data using deep learning
March 2026
While size distribution has traditionally been the dominant metric in rock fragmentation, studies have shown that both size and shape characteristics are influential in determining energy consumption,...
A bio-inspired artificial intelligence framework leveraging remote sensing for groundwater storage modeling in climate-stressed regions
March 2026
This study presents an AI-driven framework for predicting groundwater storage (GWS) in the arid to semi-arid regions of Agdz and Zagora in southern Morocco, where sustainable water resource management...
Data-driven digital twin-based smart tunnel maintenance system
December 2025
Tunnel facility management (FM) is crucial for ensuring safety, efficiency, and resilience of tunnel infrastructure. Current FM practices, such as reactive and preventive maintenance, have limitations...
Effect of high temperature on some physical properties of bentonite from Barmer, Rajasthan, India
December 2025
Globally bentoite clay has been proposed as an engineered barrier material for safe underground disposal of high-level nuclear waste. Clay has many favorable properties such as high liquid limit, and...
Ada-attention mechanism for intelligent parameter optimization in TBM rock fragmentation: A deep learning approach
December 2025
Tunnel boring machine (TBM) rock breaking parameter optimization is a technical challenge in underground engineering. Traditional numerical simulation methods have limitations in computational efficiency...
Advanced hybrid machine learning models combined with petrographic analysis for comprehensive durability assessment of rock construction materials
December 2025
Durable aggregates are essential for the stability and longevity of construction projects, and the Los Angeles Abrasion (LAA) value is a widely used indicator of aggregate durability. However, direct...
Intelligent mapping of ecological restoration elements in abandoned open-pit mines based on UAV remote sensing
December 2025
The ecological degradation caused by open-pit activities has become a major challenge in resource-rich regions of China. Traditional methods for identifying ecological restoration elements in abandoned...
Machine learning techniques for soil moisture prediction in arid and semi-arid regions: A case study of Morocco
December 2025
Soil moisture (SM) is a critical variable in hydrological, agricultural, and climatic systems, yet its accurate estimation remains challenging, particularly in arid and semi-arid environments where...
Numerical study on the seismic fracturing and instability of anti-dip jointed rock slopes by the sub-block splitting DDA method
December 2025
The seismic failure of jointed rock slopes is essentially a problem of dynamic fracturing and instability of discontinuous rock masses. In this study, seismic failures of anti-dip jointed rock slopes...
The prediction and characterization of concrete properties by using the machine learning algorithms: A state-of-the-art review
December 2025
Concrete strength mainly depends on the hydration between water and cement and how the resulting calcium silicate hydrate (C-S-H) crystals binds the other concrete components together. Traditional empirical...
Handling missing data in large-scale TBM datasets: Methods, strategies, and applications
September 2025
Substantial advancements have been achieved in Tunnel Boring Machine (TBM) technology and monitoring systems, yet the presence of missing data impedes accurate analysis and interpretation of TBM monitoring...
Physics-informed neural network optimized by particle swarm algorithm for accurate prediction of blast-induced peak particle velocity
September 2025
Accurately forecasting peak particle velocity (PPV) during blasting operations plays a crucial role in mitigating vibration-related hazards and preventing economic losses. This research introduces an...
An experimental investigation on the design and application of an intelligent drainage system to enhance the pull-out strength of geosynthetic reinforced soil
September 2025
This research shows the outcomes of laboratory-scale experiments to enhance the pull-out capacity of geosynthetic reinforced soil via an intelligent drainage system. The intelligent drainage system...
Machine learning and remote sensing for modeling groundwater storage variability in semi-arid regions
September 2025
This study investigates the prediction of groundwater Storage in the Rabat-Sale-Kenitra region under climate change conditions using advanced machine learning models. A comprehensive dataset encompassing...
