Bearing capacity prediction of open caissons in two-layered clays using five tree-based machine learning algorithms
Available online 10 April 2025
Open caissons are widely used in foundation engineering because of their load-bearing efficiency and adaptability in diverse soil conditions. However, accurately predicting their undrained bearing capacity...
Share article
Bayesian-optimized lithology identification via visible and near-infrared spectral data analysis
March 2025
Bayesian-optimized lithology identification has important basic geological research significance and engineering application value, and this paper proposes a Bayesian-optimized lithology identification...
Share article
Spatial monitoring of curved geostructures using distributed Brillouin sensing: A state-of-the-art review
March 2025
Curved geostructures, such as tunnels, are commonly encountered in geotechnical engineering and are critical to maintaining structural stability. Ensuring their proper performance through field monitoring...
Share article
The rise of deep learning: AI and engineering applications under the spotlight of the 2024 Nobel prize
March 2025
The rise of deep learning has brought about transformative advancements in both scientific research and engineering applications. The 2024 Nobel Prizes, particularly in Physics and Chemistry, highlighted...
Share article
A review of intelligent technologies for underground construction and infrastructure maintenance
March 2025
Scientific and technological advancements are rapidly transforming underground engineering, shifting from labor-intensive, time-consuming methods to automated, real-time systems. This timely and comprehensive...
Share article
GeoPredict-LLM: Intelligent tunnel advanced geological prediction by reprogramming large language models
December 2024
With the improvement of multisource information sensing and data acquisition capabilities inside tunnels, the availability of multimodal data in tunnel engineering has significantly increased. However,...
Share article
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...
Share article
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...
Share article
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...
Share article
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...
Share article
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...
Share article
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...
Share article
