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 scientometrics review of soil properties prediction using soft computing approaches
In this world, several types of soils are available with their different engineering properties.
Determining each soil's engineering properties is difficult because the laboratory procedures …
Determining each soil's engineering properties is difficult because the laboratory procedures …
Assessment of fine-grained soil compaction parameters using advanced soft computing techniques
The compaction parameters are the most important parameters for any civil engineering
project. In this work, the sand content, fine content, liquid limit, plastic limit, and plasticity …
project. In this work, the sand content, fine content, liquid limit, plastic limit, and plasticity …
New empirical equation to estimate the soil moisture content based on thermal properties using machine learning techniques
Abstract Information about soil moisture content is crucial for the sustenance of agricultural
system because it helps to make decision on irrigation scheduling and water management …
system because it helps to make decision on irrigation scheduling and water management …
Simulation of soil thermal conductivity based on different schemes: An empirical comparison of 13 models
Thermal conductivity is a key soil property widely used for agricultural production, land
surface processing research, and geothermal resource development, among others …
surface processing research, and geothermal resource development, among others …
Investigation of the thermal conductivity of soil subjected to freeze–thaw cycles using the artificial neural network model
ME Orakoglu Firat, O Atila - Journal of Thermal Analysis and Calorimetry, 2022 - Springer
In cold regions, a better understanding of soil thermal conductivity is necessary for a variety
of earthworks and engineering applications such as ground heat exchanger piles and …
of earthworks and engineering applications such as ground heat exchanger piles and …
[HTML][HTML] Data on the thermal properties of soil and its moisture content
The dataset contains thermal properties of soil such as thermal conductivity, thermal
diffusivity, temperature and specific heat capacity in an agricultural farm within the University …
diffusivity, temperature and specific heat capacity in an agricultural farm within the University …
[PDF][PDF] Development of a constitutive model for evaluation of bearing capacity from cpt and theoretical analysis using ann techniques
S Hanandeh, SF Alabdullah, S Aldahwi… - GEOMATE …, 2020 - geomatejournal.com
Bearing capacity is significant value in pile design. Various approaches have been
introduced to estimate the axial pile capacity. These approaches have restrictions and …
introduced to estimate the axial pile capacity. These approaches have restrictions and …
Predicting moisture content of soil from thermal properties using artificial neural network
Monitoring of soil moisture contents is an important practice for irrigation water management.
The benefit of periodic soil water content data includes improved irrigation scheduling in …
The benefit of periodic soil water content data includes improved irrigation scheduling in …
Prediction of physico-mechanical properties of intact rocks using artificial neural network
The determination of the physico-mechanical characteristics of rocks is very essential for the
planning and implementation of engineering structures as well as for the classification of the …
planning and implementation of engineering structures as well as for the classification of the …