[HTML][HTML] Nanomaterials in asphalt cement: exploring their single and combined effects on the physical and rheological properties

AH Albayati, MJ Al-Kheetan, MM Moudhafar… - Results in …, 2024 - Elsevier
Pavement deterioration due to rutting, fatigue, and thermal cracking poses significant
challenges to road infrastructure. Traditional asphalt modifiers often fall short in addressing …

[HTML][HTML] Compressive strength prediction models for concrete containing nano materials and exposed to elevated temperatures

HA Dahish, AD Almutairi - Results in Engineering, 2025 - Elsevier
The addition of nanomaterials to concrete is widely employed in modern construction to
improve its durability and mechanical properties. In the present study, two machine learning …

[HTML][HTML] Harnessing explainable Artificial Intelligence (XAI) for enhanced geopolymer concrete mix optimization

B Revathi, R Gobinath, GS Bala, TV Nagaraju… - Results in …, 2024 - Elsevier
Geopolymer concrete (GC) emerges as a sustainable alternative yet faces challenges in
achieving optimal resource utilization for strength development. Balancing these aspects is …

[HTML][HTML] Evaluating the mechanical and durability properties of sustainable lightweight concrete incorporating the various proportions of waste pumice aggregate

HMS Aslam, AU Rehman, KC Onyelowe, S Noshin… - Results in …, 2024 - Elsevier
Traditional waste management faces significant environmental, social, and economic
challenges, while concrete's high resource consumption highlights the need for improved …

[HTML][HTML] Enhancing the performance of runoff prediction in data-scarce hydrological domains using advanced transfer learning

S Chen, Q Mao, Y Feng, H Li, D Ma, Y Zhao… - Resources, Environment …, 2024 - Elsevier
Accurate hydrological predictions are often hindered by the lack of stream gauges in data-
scarce regions, where traditional transfer learning (TL) models like Long Short-Term …

Durability and environmental evaluation of rice husk ash sustainable concrete containing carbon nanotubes

Y **g, JC Lee, WC Moon, JL Ng, MK Yew, Y ** - Scientific Reports, 2025 - nature.com
The environmental issues in the construction industry have garnered considerable attention
in numerous studies. Ecologically sustainable green concrete addresses environmental …

Assessing performance and environmental benefits of high-performance geopolymer mortar incorporating pumice and rice straw ash

E Elfadaly, AM Othman, MH Aly, WA Elgarhy… - Sustainable Chemistry …, 2025 - Elsevier
This study investigates the performance and environmental benefits of high-performance
geopolymer mortar (HPGM) incorporating pumice powder (PP) and rice straw ash (RSA) as …

[HTML][HTML] An Interpretable XGBoost-SHAP Machine Learning Model for Reliable Prediction of Mechanical Properties in Waste Foundry Sand-Based Eco-Friendly …

M Alizamir, M Wang, RMA Ikram, A Gholampour… - Results in …, 2025 - Elsevier
Construction and development projects worldwide heavily rely on concrete as their primary
building material, making it an essential component of global infrastructure and growth. The …

Data-driven corrosion failure probabilistic assessment model for reinforced concrete structures

R Wu, W Min, Q Liu, KS Hein, J **a - Journal of Building Engineering, 2024 - Elsevier
The corrosion-induced failure of marine reinforced concrete structures, stemming from
prolonged exposure to environments with elevated chloride content, poses a significant …

[HTML][HTML] Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques

M Abdellatief, LS Wong, NM Din, AN Ahmed… - Results in …, 2025 - Elsevier
Foam glass (FG) is characterized by its lightweight structure and exceptional insulating
properties, making it a highly suitable material for a wide range of applications. It is …