Shrink–swell index prediction through deep learning
Growing application of artificial intelligence in geotechnical engineering has been observed;
however, its ability to predict the properties and nonlinear behaviour of reactive soil is …
however, its ability to predict the properties and nonlinear behaviour of reactive soil is …
Application of artificial intelligence for prediction of swelling potential of clay-rich soils
Susceptibility of fine grained soils to swelling and shrinkage problems is crucial for safe
design of infrastructure, construction and maintenance. However, quantification of soil …
design of infrastructure, construction and maintenance. However, quantification of soil …
Prediction of fine-grained soils shrinkage limits using artificial neural networks
Shrinkage limit can be used to estimate other critical factors such as shrinkage ratio,
shrinkage index and volumetric shrinkage. Experimental determination of shrinkage limit …
shrinkage index and volumetric shrinkage. Experimental determination of shrinkage limit …
Machine learning approaches to estimation of the compressibility of soft soils
H Liu, P Lin, J Wang - Frontiers in Earth Science, 2023 - frontiersin.org
The modulus of compression and coefficient of compressibility of soft soils are key
parameters for assessing deformation of geotechnical infrastructure. However, the …
parameters for assessing deformation of geotechnical infrastructure. However, the …
Novel Insights in Soil Mechanics: Integrating Experimental Investigation with Machine Learning for Unconfined Compression Parameter Prediction of Expansive Soil
This paper presents a novel application of machine learning models to clarify the intricate
behaviors of expansive soils, focusing on the impact of sand content, saturation level, and …
behaviors of expansive soils, focusing on the impact of sand content, saturation level, and …
Soft computing of the recompression index of fine-grained soils
Consolidation settlement is a phenomenon happens in saturated fine-grained soils when
subjected to change in effective stress. Consolidation settlement is often determined using …
subjected to change in effective stress. Consolidation settlement is often determined using …
[HTML][HTML] Estimation of recompression coefficient of soil using a hybrid ANFIS-PSO machine learning model
Recompression coefficient (Cr) is= an essential parameter utilized to predict consolidation
settlement of over-consolidated soil. Thus, the main aim of this work was to estimate …
settlement of over-consolidated soil. Thus, the main aim of this work was to estimate …
[HTML][HTML] Improved prediction of clay soil expansion using machine learning algorithms and meta-heuristic dichotomous ensemble classifiers
Soil swelling-related disaster is considered as one of the most devastating geo-hazards in
modern history. Hence, proper determination of a soil's ability to expand is very vital for …
modern history. Hence, proper determination of a soil's ability to expand is very vital for …
Application of artificial neural networking technique to predict the geotechnical aspects of expansive soil: A review
DR Goutham, AJ Krishnaiah - International Journal of …, 2021 - search.proquest.com
Soil mechanics problems deal with various types of soil that exhibit erratic behaviour in the
real world, one such soil being the expansive soil where it takes a lot of laboratory test …
real world, one such soil being the expansive soil where it takes a lot of laboratory test …
Neural networks based linear (PCA) and nonlinear (ISOMAP) feature extraction for soil swelling pressure prediction (North East Algeria)
The swelling pressure (SP) of expansive soils is crucial for both geotechnical studies as well
as practitioners. Multiple attempts have been made to correlate the SP with the properties of …
as practitioners. Multiple attempts have been made to correlate the SP with the properties of …