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 …
A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of …
Coefficient of consolidation (C v) is a measure of compressibility of soil. This coefficient is an
important parameter which is used in the design of foundation of civil engineering structures …
important parameter which is used in the design of foundation of civil engineering structures …
Permeability and porosity of light-weight concrete with plastic waste aggregate: Experimental study and machine learning modelling
Z Chao, H Wang, S Hu, M Wang, S Xu… - Construction and Building …, 2024 - Elsevier
The plastic waste has huge potential being used as the aggregate of concrete but the
premise requires to have a sound understanding about the seepage mechanical properties …
premise requires to have a sound understanding about the seepage mechanical properties …
Prediction of shear strength of soft soil using machine learning methods
Shear strength of the soil is an important engineering parameter used in the design and
audit of geo-technical structures. In this research, we aim to investigate and compare the …
audit of geo-technical structures. In this research, we aim to investigate and compare the …
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 …
Use of artificial neural network to evaluate cadmium contamination in farmland soils in a karst area with naturally high background values
C Li, C Zhang, T Yu, X Liu, Y Yang, Q Hou, Z Yang… - Environmental …, 2022 - Elsevier
In recent years, the naturally high background value region of Cd derived from the
weathering of carbonate has received wide attention. Due to the significant difference in soil …
weathering of carbonate has received wide attention. Due to the significant difference in soil …
A survey on applications of artificial intelligence for pre-parametric project cost and soil shear-strength estimation in construction and geotechnical engineering
Ensuring soil strength, as well as preliminary construction cost and duration prediction, is a
very crucial and preliminary aspect of any construction project. Similarly, building strong …
very crucial and preliminary aspect of any construction project. Similarly, building strong …
Soil database development with the application of machine learning methods in soil properties prediction
Excessive rainwater infiltration can be an important causal agent of both slope and whole
tree uprooting failures. Early warnings or stabilization measures on high-risk slopes or trees …
tree uprooting failures. Early warnings or stabilization measures on high-risk slopes or trees …
Artificial intelligence algorithms for predicting peak shear strength of clayey soil-geomembrane interfaces and experimental validation
Z Chao, D Shi, G Fowmes, X Xu, W Yue, P Cui… - Geotextiles and …, 2023 - Elsevier
The peak shear strength of clayey soil-geomembrane interfaces is a vital parameter for the
design of relevant engineering infrastructure. However, due to the large number of influence …
design of relevant engineering infrastructure. However, due to the large number of influence …