Soft computing models for prediction of bentonite plastic concrete strength
Bentonite plastic concrete (BPC) is extensively used in the construction of water-tight
structures like cut-off walls in dams, etc., because it offers high plasticity, improved …
structures like cut-off walls in dams, etc., because it offers high plasticity, improved …
Machine learning prediction of the unconfined compressive strength of controlled low strength material using fly ash and pond ash
The sustainable use of industrial byproducts in civil engineering is a global priority,
especially in reducing the environmental impact of waste materials. Among these, coal ash …
especially in reducing the environmental impact of waste materials. Among these, coal ash …
A novel tool for probabilistic modeling of liquefaction behavior in alluvial soil
This research introduces and validates advanced machine learning models designed to
predict the probability of liquefaction failure (pf) in alluvial soil deposits. Three optimisation …
predict the probability of liquefaction failure (pf) in alluvial soil deposits. Three optimisation …
Prediction of California Bearing Ratio of nano-silica and bio-char stabilized soft sub-grade soils using explainable machine learning
This study investigates the prediction of the California Bearing Ratio (CBR) for nano-silica
and bio-char stabilized soft sub-grade soils using explainable machine learning (ML) …
and bio-char stabilized soft sub-grade soils using explainable machine learning (ML) …
Applications of computational intelligence for predictive modeling of properties of blended cement sustainable concrete incorporating various industrial byproducts …
The quest to enhance the strength of concrete, while at the same time reducing the
environmental impacts occasioned by its use, has become quite imperative in sustainable …
environmental impacts occasioned by its use, has become quite imperative in sustainable …
Advancing earth science in geotechnical engineering: A data-driven soft computing technique for unconfined compressive strength prediction in soft soil
This study presents a pioneering approach that combines artificial intelligence and a nature-
inspired optimization algorithm to predict soil unconfined compressive strength (UCS). The …
inspired optimization algorithm to predict soil unconfined compressive strength (UCS). The …
A smarter approach to liquefaction risk: harnessing dynamic cone penetration test data and machine learning for safer infrastructure
SV Singh, S Ghani - Frontiers in Built Environment, 2024 - frontiersin.org
This paper presents a novel approach for assessing liquefaction potential by integrating
Dynamic Cone Penetration Test (DCPT) data with advanced machine learning (ML) …
Dynamic Cone Penetration Test (DCPT) data with advanced machine learning (ML) …
Enhancing unconfined compressive strength prediction in nano-silica stabilized soil: a comparative analysis of ensemble and deep learning models
The study emphasizes the challenges of determining the Unconfined Compressive Strength
(UCS) of soil stabilized using nano-silica (NS) in civil engineering applications. As a result, a …
(UCS) of soil stabilized using nano-silica (NS) in civil engineering applications. As a result, a …
Internal Stability of Mechanically Stabilized Earth Wall Using Machine Learning Techniques
R Mustafa, MT Ahmad - Transportation Infrastructure Geotechnology, 2024 - Springer
This paper proposes an AI-based prediction method for factor of safety (FOS) against rupture
and pull-out failure and examines and compares the applicability and adaptability of k …
and pull-out failure and examines and compares the applicability and adaptability of k …
Compressive strength of bentonite concrete using state-of-the-art optimised XGBoost models
P Kumar, S Shekhar Kamal, A Kumar… - Nondestructive …, 2024 - Taylor & Francis
This study proposes an advanced soft-computing approach for predicting the compressive
strength (CS) of bentonite concrete using an optimised XGBoost model. Bentonite is valued …
strength (CS) of bentonite concrete using an optimised XGBoost model. Bentonite is valued …