Prospects, challenges and guidelines for practical deep learning in geoengineering
December 2024
Deep learning, a pivotal technology within artificial intelligence, has made significant strides across various domains, including geoengineering. This paper explores the practical applications and...
Overview of discontinuous deformation analysis and its prospects for intelligent modelling
December 2024
Since its proposal in 1985, the Discontinuous Deformation Analysis (DDA) has developed into a powerful tool for simulating the mechanical behaviour of rock masses and other discontinuous systems and...
Review on the artificial intelligence-based methods in landslide detection and susceptibility assessment: Current progress and future directions
December 2024
Landslides pose significant risks to human life, property, and the environment in mountainous regions. Effective detection and susceptibility assessment are essential for mitigating these hazards. Recent...
Combining machine learning and physics modeling to determine the geostress of reservoirs in real-time
December 2024
Real-time updating of geological properties in reservoirs through monitoring data is critical for optimizing hydraulic fracturing. In this work, the ML-Physics method, which inherits the advantages...
Deep transfer learning for microseismic waveforms recognition across geological conditions in TBM tunnels
December 2024
In deeply buried tunneling projects, geological conditions are often complex and varied. Microseismic monitoring systems are extensively deployed to enhance construction safety. However, when the current...
An innovative Time Domain Reflectometry (TDR) sensor to monitor earthquake induced void redistribution in layered soils
December 2024
Liquefaction induced soil void redistribution, i.e., the formation of thin water film between soil layers, has been identified as an important trigger of ground liquefaction occurring in stratified...
