Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
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 …
Predicting resilient modulus of flexible pavement foundation using extreme gradient boosting based optimised models
Resilient modulus (MR) plays the most critical role in the evaluation and design of flexible
pavement foundations. MR is utilised as the principal parameter for representing stiffness …
pavement foundations. MR is utilised as the principal parameter for representing stiffness …
Ensemble deep learning-based models to predict the resilient modulus of modified base materials subjected to wet-dry cycles
The resilient modulus (MR) of various pavement materials plays a significant role in the
pavement design by a mechanistic-empirical method. The MR determination is done by …
pavement design by a mechanistic-empirical method. The MR determination is done by …
Prediction of the resilient modulus of compacted subgrade soils using ensemble machine learning methods
The accurate estimation of resilient modulus (MR) of compacted subgrade soil is imperative
for the safe and sustainable design of flexible pavement systems. The aim of this study is to …
for the safe and sustainable design of flexible pavement systems. The aim of this study is to …
International Roughness Index prediction model for flexible pavements
Abstract International Roughness Index (IRI) is a pavement performance indicator which
reflects not only the pavement condition but also the ride quality and comfort level of road …
reflects not only the pavement condition but also the ride quality and comfort level of road …
Automated monitoring and evaluation of highway subgrade compaction quality using artificial neural networks
The compaction quality of a highway subgrade is influenced by the compaction parameters
and soil properties. Current practice lacks reliable models to assess this multivariate …
and soil properties. Current practice lacks reliable models to assess this multivariate …
Prediction of resilient modulus of ballast under cyclic loading using machine learning techniques
The resilient modulus (MR) of ballast is one of the key output parameters in any rail design
project because it controls the elastic magnitude of track deformation under cyclic loading …
project because it controls the elastic magnitude of track deformation under cyclic loading …
Compaction quality evaluation of subgrade based on soil characteristics assessment using machine learning
The reliable correlation model for intelligent compaction (IC) is to be developed by
integrating characteristics of the filling material and control parameters of the vibratory roller …
integrating characteristics of the filling material and control parameters of the vibratory roller …
Compressive strength of sandy soils stabilized with alkali-activated volcanic ash and slag
In recent years, compared with the traditional portland cement, environmentally friendly
geopolymers have gained more attention as construction materials. This paper considered …
geopolymers have gained more attention as construction materials. This paper considered …