Predicting the maximum dry density and optimum moisture content from soil index properties using efficient soft computing techniques

HFH Ali, B Omer, AS Mohammed, RH Faraj - Neural Computing and …, 2024 - Springer
This study aims to achieve the densest possible state of soil for constructing dams and
roads. This requires assessing the compaction characteristics, Optimum Moisture Content …

[HTML][HTML] Evaluation of multiple linear regression and machine learning approaches to predict soil compaction and shear stress based on electrical parameters

K Pentoś, JT Mbah, K Pieczarka, G Niedbała… - Applied Sciences, 2022 - mdpi.com
This study investigated the relationships between the electrical and selected mechanical
properties of soil. The analyses focused on comparing various modeling relationships under …

Surrogate models to predict maximum dry unit weight, optimum moisture content and California bearing ratio form grain size distribution curve

S Alzabeebee, SA Mohamad… - Road Materials and …, 2022 - Taylor & Francis
This study evaluates the applicability of using a robust, novel, data-driven method in
proposing surrogate models to predict the maximum dry unit weight, optimum moisture …

Utilizing multivariable mathematical models to predict maximum dry density and optimum moisture content from physical soil properties

HF Hama Ali - Multiscale and Multidisciplinary Modeling, Experiments …, 2023 - Springer
Compacting soil is crucial in almost every earthwork project to achieve the densest possible
state. The compaction characteristics of soil, such as Optimum Moisture Content (OMC) and …

[PDF][PDF] Soft computing models to predict the compaction characteristics from physical soil properties

HFH Ali - Eng Technol J, 2023 - iasj.net
Soil compaction is a crucial component of the construction process in geotechnical
engineering since most of the structures, and earth-retaining structures are supported by the …

The use of polyurethane foam-sand mixtures in sandy embankment design-predicting seismic response using FEM, catastrophe theory, B-spline method, and artificial …

O Mughieda, A Namdar, W Nie - Heliyon, 2024 - cell.com
High-permeability sand cannot control the water that is stored behind an embankment. In
addition, if clay cannot be provided within a reasonable distance of the embankment …

An XGBOOST predictive model of void ratio in sandy soils with shear-wave velocity as major input

Y Huang, Y Wang, P Wang, Y Lai - Transportation Geotechnics, 2023 - Elsevier
Void ratio is a critical soil characteristic directly describing the degree of sand compaction.
Though several empirical models for void ratio prediction were available in the literature, the …

Predicting the compaction parameters of solidified dredged fine sediments with statistical approach

H Wang, R Zentar, D Wang - Marine Georesources & …, 2023 - Taylor & Francis
The compaction behavior of solidified dredged fine sediments is an important parameter for
recycling dredged fine sediments in road engineering. However, the Proctor compaction test …

Shrinkage limit multi-AI-based predictive models for sustainable utilization of activated rice husk ash for treating expansive pavement subgrade

KC Onyelowe, AM Ebid, LI Nwobia… - Transportation …, 2022 - Springer
Swell-shrink phenomenon experienced by foundation soils like the subgrade layer is a
major cause of failures in pavement facilities. This phenomenon is fundamentally caused by …

The displacement mechanism of the cracked rock–a seismic design and prediction study using XFEM and ANNs

O Mughieda, L Guo, Y Tang, NM Okasha… - Advanced Modeling and …, 2024 - Springer
Materials with sufficient strength and stiffness can transfer nonlinear design loads without
damage. The present study compares crack propagation speed and shape in rock-like …