Author

Abdulaziz Alqurashi

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Open access Sep 2026

Mechanical performance and limited embodied-carbon assessment of concrete incorporating desert sand and surface-modified waste rubber

The rapid depletion of natural river sand resources and the increasing accumulation of waste tyres have intensified the demand for sustainable alternative materials that can simultaneously reduce resource consumption and environmental burdens in the construction industry. Although desert sand and waste rubber have each...

Han Liu, Abdulaziz Alqurashi, Sheng-Hao Jin et al. · Scientific Reports · 0 citations

Open access Jul 2026

Agentic AI-enhanced digital twins for Smart City civil infrastructure: A secure, autonomous and auditable management framework

Results demonstrate that combining simulation-enabled digital twins with governance-aware agentic orchestration measurably improves response efficiency, recommendation quality, and action accountability within the bounds of a synthetic evaluation environment.

Toqeer Ali Syed, Ali Akarma, Ali Alatify et al. · PLoS ONE · 7 citations

Open access Jul 2026

Experimental investigation on enhancing the geotechnical properties of sabkha soil using sodium silicate and waste glass powder to reduce collapsibility.

Sabkha soils, widely distributed in arid coastal regions, are characterized by high salinity, metastable structure, and low bearing capacity, posing significant challenges for geotechnical applications. Although sustainable stabilization methods have been increasingly explored, the application of alkali-activated waste...

Samia Bouzouaid, H. Charrak, Ahmed Rafik Belakhdar et al. · Scientific Reports · 0 citations

Open access Jul 2026

Prioritising construction accident risk factors using an integrated Random Forest, XGBoost, and ANN framework with sensitivity analysis

Construction safety remains a critical concern due to accidents influenced by multiple interacting factors. While previous studies have identified key risk drivers, robust, data-driven approaches for prioritising them remain limited. This study proposes an integrated machine learning and sensitivity-based framework to...

A. Alotaibi, John Gambatese, Hossam Wefki et al. · Scientific Reports · 0 citations

Dec 2026

Explainable Machine Learning Framework for Predicting Bond Strength of FRP Bars Embedded in UHPC

The interfacial performance of advanced composites bars embedded in Ultra-High Performance Concrete (UHPC) is an important factor that controls load transfer and the performance of structural elements. Predicting bond strength is still difficult because it is affected by several factors, such as rebar type, bar profile...

Abdulaziz Alqurashi · Islamic University Journal o... · 0 citations