[HTML][HTML] Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms
Compression index C c is an essential parameter in geotechnical design for which the
effectiveness of correlation is still a challenge. This paper suggests a novel modelling …
effectiveness of correlation is still a challenge. This paper suggests a novel modelling …
A general overview on the correlation of compression index of clays with some geotechnical index properties
S Shimobe, G Spagnoli - Geotechnical and Geological Engineering, 2022 - Springer
The compression index C c, is one of the key properties of fine-grained soils. Several
correlations exist in the literature linking this parameter to other geotechnical properties such …
correlations exist in the literature linking this parameter to other geotechnical properties such …
A method for predicting soil susceptibility to the compaction of surface layers as a function of water content and bulk density
K Saffih-Hdadi, P Défossez, G Richard, YJ Cui… - Soil and Tillage …, 2009 - Elsevier
Identifying the vulnerability of soils to compaction damage is becoming an increasingly
important issue when planning and performing farming operations. Soil compaction models …
important issue when planning and performing farming operations. Soil compaction models …
Evaluation of the compression index of soils using an artificial neural network
HI Park, SR Lee - Computers and Geotechnics, 2011 - Elsevier
The compression index is a one of the important soil parameters that is essential to
geotechnical designs. As the determination of the compression index from consolidation …
geotechnical designs. As the determination of the compression index from consolidation …
A novel integrated approach of ELM and modified equilibrium optimizer for predicting soil compression index of subgrade layer of Dedicated Freight Corridor
This study proposes a high-performance machine learning model to sidestep the time of
conducting actual laboratory tests of soil compression index (C c), one of the important …
conducting actual laboratory tests of soil compression index (C c), one of the important …
An intelligent multi-objective EPR technique with multi-step model selection for correlations of soil properties
YF Jin, ZY Yin - Acta Geotechnica, 2020 - Springer
Current multi-objective evolutionary polynomial regression (EPR) methodology has
difficulties on decision-making of optimal EPR model. This paper proposes an intelligent …
difficulties on decision-making of optimal EPR model. This paper proposes an intelligent …
Bayesian probabilistic approach for the correlations of compression index for marine clays
The compression index is an important soil property that is essential to many geotechnical
designs. Over the decades, a number of empirical correlations have been proposed to relate …
designs. Over the decades, a number of empirical correlations have been proposed to relate …
Assessment of empirical equations for the compression index of fine-grained soils in Missouri
The use of correlations and empirical relationships in geotechnical engineering provides a
fast, cost-effective means of predicting the value of a parameter based on the values of …
fast, cost-effective means of predicting the value of a parameter based on the values of …
Statistical and neural network assessment of the compression index of clay-bearing soils
The compression index is used to estimate the consolidation settlement of clay-bearing
soils. As the determination of compression index from oedometer tests is relatively time …
soils. As the determination of compression index from oedometer tests is relatively time …
Unified Plasticity Potential of Soils
BS Firincioglu, H Bilsel - Applied Sciences, 2023 - mdpi.com
Featured Application This model can be valuable in creating micro-zonation mapping for
quick assessment of soil characterization, soil selection based on tender documents and …
quick assessment of soil characterization, soil selection based on tender documents and …