35 Years of (AI) in geotechnical engineering: state of the art
AM Ebid - Geotechnical and Geological Engineering, 2021 - Springer
It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …
geotechnical engineering, during those years many (AI) techniques were developed based …
State-of-the-art review of machine learning applications in constitutive modeling of soils
P Zhang, ZY Yin, YF Jin - Archives of Computational Methods in …, 2021 - Springer
Abstract Machine learning (ML) may provide a new methodology to directly learn from raw
data to develop constitutive models for soils by using pure mathematic skills. It has …
data to develop constitutive models for soils by using pure mathematic skills. It has …
Patterns and driving factors of biomass carbon and soil organic carbon stock in the Indian Himalayan region
Tree-based ecosystems are critical to climate change mitigation. The study analysed carbon
(C) stock patterns and examined the importance of environmental variables in predicting …
(C) stock patterns and examined the importance of environmental variables in predicting …
Towards data-driven constitutive modelling for granular materials via micromechanics-informed deep learning
The analytical description of path-dependent elastic-plastic responses of a granular system
is highly complicated because of continuously evolving microstructures and strain …
is highly complicated because of continuously evolving microstructures and strain …
Numerical study of the effects of groundwater drawdown on ground settlement for excavation in residual soils
For deep excavations in residual soils that are underlain by highly fissured or fractured
rocks, it is common to observe the drawdown of the groundwater table behind the …
rocks, it is common to observe the drawdown of the groundwater table behind the …
Base resistance of super-large and long piles in soft soil: performance of artificial neural network model and field implications
This study aims to examine the performance of artificial neural network (ANN) model based
on 1137 datasets of super-large (1.0–2.5 m in equivalent diameter) and long (40.2–99 m) …
on 1137 datasets of super-large (1.0–2.5 m in equivalent diameter) and long (40.2–99 m) …
Recent advances and future challenges for artificial neural systems in geotechnical engineering applications
Artificial neural networks (ANNs) are a form of artificial intelligence that has proved to
provide a high level of competency in solving many complex engineering problems that are …
provide a high level of competency in solving many complex engineering problems that are …
The prediction of the critical factor of safety of homogeneous finite slopes using neural networks and multiple regressions
This study deals with development of artificial neural network (ANN) and multiple regression
(MR) models that can be employed for estimating the critical factor of safety (Fs) value of …
(MR) models that can be employed for estimating the critical factor of safety (Fs) value of …
Digital soil mapping using remote sensing indices, terrain attributes, and vegetation features in the rangelands of northeastern Iran
E Mahmoudabadi, A Karimi, GH Haghnia… - Environmental monitoring …, 2017 - Springer
Digital soil mapping has been introduced as a viable alternative to the traditional mapping
methods due to being fast and cost-effective. The objective of the present study was to …
methods due to being fast and cost-effective. The objective of the present study was to …
ملخص
ملخص دراسة إخفاقات التربة مواضيع تخص علم الأرض والهندسة. هذه الدراسة تحتاج إلى مجهودات
المهندسين في الجيولوجيا والمهندسين الجيوتقنيين. المهندس الجيوتقني يجب أن يهتم …
المهندسين في الجيولوجيا والمهندسين الجيوتقنيين. المهندس الجيوتقني يجب أن يهتم …