Review of research on high-speed railway subgrade settlement in soft soil area
S Zhou, B Wang, Y Shan - Railway Engineering Science, 2020 - Springer
Construction issues of high-speed rail infrastructures have been increasingly concerned
worldwide, of which the subgrade settlement in soft soil area becomes a particularly critical …
worldwide, of which the subgrade settlement in soft soil area becomes a particularly critical …
[PDF][PDF] Artificial neural networks in slope of road embankment stability applications: a review and future perspectives
The artificial or neural network is one of the branches of the artificial intelligence method.
Over the last few decades, artificial neural networks (ANNs) have been widely used to …
Over the last few decades, artificial neural networks (ANNs) have been widely used to …
A hyper parameterized artificial neural network approach for prediction of the factor of safety against liquefaction
Soil liquefaction during earthquakes is a complex geotechnical engineering problem.
Although various analytical approaches exist for predicting liquefaction risk, their limitations …
Although various analytical approaches exist for predicting liquefaction risk, their limitations …
Prediction of the California bearing ratio (CBR) of compacted soils by using GMDH-type neural network
The California bearing ratio (CBR) is an important parameter in defining the bearing
capacity of various soil structures, such as earth dams, road fillings and airport pavements …
capacity of various soil structures, such as earth dams, road fillings and airport pavements …
Prediction of compressibility parameters of the soils using artificial neural network
The compression index and recompression index are one of the important compressibility
parameters to determine the settlement calculation for fine-grained soil layers. These …
parameters to determine the settlement calculation for fine-grained soil layers. These …
Hazard prediction of water inrush in water-rich tunnels based on random forest algorithm
N Zhang, M Niu, F Wan, J Lu, Y Wang, X Yan, C Zhou - Applied Sciences, 2024 - mdpi.com
To prevent large-scale water inrush accidents during the excavation process of a water-rich
tunnel, a method, based on a random forest (RF) algorithm, for predicting the hazard level of …
tunnel, a method, based on a random forest (RF) algorithm, for predicting the hazard level of …
The comparison of the performance of ELM, BRNN, and SVM methods for the prediction of compression index of clays
T Fikret Kurnaz, Y Kaya - Arabian Journal of Geosciences, 2018 - Springer
The compression index (Cc) is a necessary parameter for the settlement calculation of clays.
However, determination of the compression index from oedometer tests takes a relatively …
However, determination of the compression index from oedometer tests takes a relatively …
Prediction of bearing capacity of stone columns placed in soft clay using ANN model
It is known that the construction over soft clay is always a great challenge to the geotechnical
engineers. The soft clay poses high compressibility and low bearing capacity. It is a common …
engineers. The soft clay poses high compressibility and low bearing capacity. It is a common …
Bibliometric analysis of artificial intelligence techniques for predicting soil liquefaction: insights and MCDM evaluation
The geotechnical phenomenon of soil liquefaction has serious implications for infrastructure
and human safety, making it crucial to develop effective prediction and mitigation strategies …
and human safety, making it crucial to develop effective prediction and mitigation strategies …
Prediction of the bearing capacity of composite grounds made of geogrid-reinforced sand over encased stone columns floating in soft soil using a White-box machine …
Stone columns have been extensively advocated as a traditional approach to increase the
undrained bearing capacity and reduce the settlement of footings sitting on cohesive …
undrained bearing capacity and reduce the settlement of footings sitting on cohesive …