[HTML][HTML] Evaluating the influence of sand particle morphology on shear strength: A comparison of experimental and machine learning approaches

F Daghistani, H Abuel-Naga - Applied Sciences, 2023 - mdpi.com
Particulate materials, such as sandy soil, are everywhere in nature and form the basis for
many engineering applications. The aim of this research is to investigate the particle shape …

[HTML][HTML] Predicting the strength performance of hydrated-lime activated rice husk ash-treated soil using two grey-box machine learning models

A Baghbani, A Soltani, K Kiany, F Daghistani - Geotechnics, 2023 - mdpi.com
Geotechnical engineering relies heavily on predicting soil strength to ensure safe and
efficient construction projects. This paper presents a study on the accurate prediction of soil …

[HTML][HTML] Enhancing ultimate bearing capacity prediction of cohesionless soils beneath shallow foundations with grey box and hybrid AI models

K Kiany, A Baghbani, H Abuel-Naga, H Baghbani… - Algorithms, 2023 - mdpi.com
This study examines the potential of the soft computing technique, namely, multiple linear
regression (MLR), genetic programming (GP), classification and regression trees (CART) …

Advancements in Understanding Interface Friction: A Combined Experimental and Machine Learning Approach Using Multiple Linear and Random Forest …

F Daghistani, H Abuel-Naga - Geotechnics, 2024 - mdpi.com
The interface friction between granular materials and continuum surfaces is fundamental in
civil engineering, especially in geotechnical projects where sand of varying sizes and …

[HTML][HTML] Determination of the Basic Geotechnical Parameters of Blast-Furnace Slag from the Kremnica Region

R Bulko, S Masarovičová, F Gago - Materials, 2023 - mdpi.com
A decisive aspect of site evaluation for construction is the presence of anthropogenic
materials occurring in the geological environment. The geotechnical properties of blast …

[HTML][HTML] Effects of Dry Density and Moisture Content on the Kaolin–Brass Interfacial Shear Adhesion

R Almasoudi, H Abuel-Naga, F Daghistani - Applied Sciences, 2023 - mdpi.com
Kaolin clay, with its consistent properties, fine particle size, high surface area, and extensive
historical use, stands out as a reliable choice for laboratory research. This study aims to …

Prediction of soil friction angle using a deep learning model: A case study of Firuzkuh sand

S Hashemi Salanghouch… - Modares Civil Engineering …, 2024 - mcej.modares.ac.ir
Friction angle of soil is a critical parameter in the geotechnical engineering and has a direct
impact on the design of various structures, such as retaining walls, slopes, and piles. This …

[PDF][PDF] Determination of the Basic Geotechnical Parameters of Blast-Furnace Slag from the Kremnica Region. Materials 2023, 16, 5966

R Bulko, S Masarovicová, F Gago - 2023 - academia.edu
A decisive aspect of site evaluation for construction is the presence of anthropogenic
materials occurring in the geological environment. The geotechnical properties of blast …

Evaluating the Influence of Sand Particle Morphology on Shear Strength: A Comparison of Experimental and Machine Learning Approaches

H Aboel Naga - 2023 - opal.latrobe.edu.au
Particulate materials, such as sandy soil, are everywhere in nature and form the basis for
many engineering applications. The aim of this research is to investigate the particle shape …

Advancements in Understanding Interface Friction: A Combined Experimental and Machine Learning Approach Using Multiple Linear and Random Forest …

H Aboel Naga - 2024 - opal.latrobe.edu.au
The interface friction between granular materials and continuum surfaces is fundamental in
civil engineering, especially in geotechnical projects where sand of varying sizes and …