[HTML][HTML] A physics-informed data-driven model for landslide susceptibility assessment in the Three Gorges Reservoir Area
S Liu, L Wang, W Zhang, W Sun, J Fu, T Xiao, Z Dai - Geoscience Frontiers, 2023 - Elsevier
Landslide susceptibility mapping is a crucial tool for analyzing geohazards in a region.
Recent publications have popularized data-driven models, particularly machine learning …
Recent publications have popularized data-driven models, particularly machine learning …
Deep learning methods for time-dependent reliability analysis of reservoir slopes in spatially variable soils
Abstract The Three Gorges Reservoir Area (TGRA) is one of the most important landslide-
prone regions in China, and rational stability evaluation of reservoir slopes in it is of great …
prone regions in China, and rational stability evaluation of reservoir slopes in it is of great …
The next frontier: data-driven urban underground space planning orienting multiple development concepts
FL Peng, YH Dong, WX Wang, CX Ma - Smart Construction and …, 2023 - Springer
In recent years, the comprehensive and extensive development of urban underground
space (UUS) has gained substantial popularity with the efficient guidance of UUS planning …
space (UUS) has gained substantial popularity with the efficient guidance of UUS planning …
Analytical model for reinforcement effect and load transfer of pre-stressed anchor cable with bore deviation
Anchors have been widely used in slope engineering, mining engineering and foundation
pit engineering, but their stabilities are significantly affected by anchor cable bending which …
pit engineering, but their stabilities are significantly affected by anchor cable bending which …
Hysteresis effect and seasonal step-like creep deformation of the Jiuxianping landslide in the Three Gorges Reservoir region
Slow-moving landslides are common in the Three Gorges reservoir (TGR) region. It may
evolve into massive landslide hazards due to reservoir level fluctuation and rainfall. The …
evolve into massive landslide hazards due to reservoir level fluctuation and rainfall. The …
Forecasting the productivity of a solar distiller enhanced with an inclined absorber plate using stochastic gradient descent in artificial neural networks
Solar distillers are of significant importance in advanced technologies, as they provide a
sustainable approach to address the issue of water purification. The utilization of innovative …
sustainable approach to address the issue of water purification. The utilization of innovative …
Step-like displacement prediction and failure mechanism analysis of slow-moving reservoir landslide
Landslides triggered by extreme rainfall due to global climate change are becoming more
frequent. The Earth surface processes activity and landform evolution caused by landslide …
frequent. The Earth surface processes activity and landform evolution caused by landslide …
Stochastic optimal scheduling strategy for a campus-isolated microgrid energy management system considering dependencies
W Dong, H Sun, C Mei, Z Li, J Zhang, H Yang… - Energy Conversion and …, 2023 - Elsevier
Isolated microgrids have been widely used on campuses, becoming an important part of
their power-supply infrastructure. In this study, a stochastic optimal scheduling strategy that …
their power-supply infrastructure. In this study, a stochastic optimal scheduling strategy that …
[HTML][HTML] A novel method for determining the particle breakage contribution of high-speed railway graded aggregate and its application in vibratory compaction
K Xie, T Li, X Chen, Z Deng - Case Studies in Construction Materials, 2023 - Elsevier
The essence of vibratory compaction of high-speed railway graded aggregate (HRGA)
materials lies in both internal particle rearrangement and breakage. However, there is a …
materials lies in both internal particle rearrangement and breakage. However, there is a …
Cationic resin polymer A® IRC-50 as an effective adsorbent for the removal of Cr (III), Cu (II), and Ag (I) from aqueous solutions: A kinetic, mathematical …
Adsorption has emerged as a reliable and cost-effective method for the depollution of
wastewater containing multivalent heavy metals. However, there is still a need to optimize …
wastewater containing multivalent heavy metals. However, there is still a need to optimize …