Sufyan Ghani
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View article: Sustainable approach of strength measurement for soil’s stabilized with geo-polymer with hybrid ensemble models
Sustainable approach of strength measurement for soil’s stabilized with geo-polymer with hybrid ensemble models Open
This study introduces an innovative method for soil stabilization by integrating geopolymer binders with a non-iterative hybrid ensemble modeling framework. Using 270 samples, key parameters such as molarity, silt content, and chemical rat…
AI-Enabled Sustainable Soil Stabilization for Resilient Urban Infrastructure: Advancing SDG 9 and SDG 12 through Hybrid Deep Learning and Environmental Assessment Open
Urban areas face increasing challenges in constructing resilient infrastructure on weak or unstable soils, especially amid the impacts of climate change and rapid urbanization. This study introduces an innovative AI-driven framework that i…
Integrating PCA and XGBoost for predicting UACLC of steel-reinforced concrete-filled square steel tubular columns at elevated temperatures Open
The residual strength and stability of Steel-Reinforced Concrete-Filled Square Steel Tubular (SRCFSST) columns under elevated temperatures are critical for fire safety engineering. This study presents a novel predictive framework utilizing…
Geotechnical Characterization and Stability Prediction of Nano-Silica-Stabilized Slopes: A Machine Learning Approach to Mitigating Geological Hazards Open
This study presents a novel approach to predicting the factor of safety (FOS) for infinite slopes stabilized with nano-silica (NS), leveraging machine learning (ML) models to address limitations of traditional geotechnical assessments. A u…
Modeling and Evaluating the Impact of Mobile Usage on Pedestrian Behavior at Signalized Intersections: A Machine Learning Perspective Open
Pedestrian safety is a growing global concern, particularly in urban areas, where rapid urbanization and increased mobile device usage have led to an increase in distracted walking. This study investigates the impact of technological distr…
Revealing the nature of soil liquefaction using machine learning Open
This study highlights the importance of consistently assessing soil and subsoil liquefaction susceptibility in construction projects through comprehensive evaluation and regular site investigations. Despite the abundance of geotechnical re…
Smart modeling of soil-foundation interaction using coupled mechanisms: a numerical framework for liquefaction risk mitigation Open
This study investigates the impact of nearby structures on the cyclic settlement mechanisms of shallow foundations in liquefiable soils using a numerical model based on Biot’s porous media theory. The model predicts excess pore water press…
A smarter approach to liquefaction risk: harnessing dynamic cone penetration test data and machine learning for safer infrastructure Open
This paper presents a novel approach for assessing liquefaction potential by integrating Dynamic Cone Penetration Test (DCPT) data with advanced machine learning (ML) techniques. DCPT offers a cost-effective, rapid, and adaptable method fo…
Modelling Soil Compaction Parameters Using an Enhanced Hybrid Intelligence Paradigm of ANFIS and Improved Grey Wolf Optimiser Open
The criteria for measuring soil compaction parameters, such as optimum moisture content and maximum dry density, play an important role in construction projects. On construction sites, base/sub-base soils are compacted at the optimal moist…
Social aspect implementation in sustainable construction Open
The concept of sustainable development integrates social, economic and environmental dimensions. There are various models that have been developed to monitor and ensure the sustainability concept are adapted in the construction process app…