A scientometric analysis approach to analyze the present research on recycled aggregate concrete

B Zhang, W Ahmad, A Ahmad, F Aslam… - Journal of Building …, 2022 - Elsevier
The growing state of research on recycled aggregate (RA) concrete presents academics
with an information overload that may obstruct effective research and academic …

Utilisation of waste marble dust in concrete production: A scientometric review and future research directions

E Kuoribo, H Mahmoud - Journal of Cleaner Production, 2022 - Elsevier
The construction industry is one of the prime polluters of the global environment, in addition
to the waste management menace. Over the years, waste marble dust reuse as aggregates …

[HTML][HTML] Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques

A Ahmad, W Ahmad, F Aslam, P Joyklad - Case Studies in Construction …, 2022 - Elsevier
Concrete is a widely used construction material, and cement is its main constituent.
Production and utilization of cement severely affect the environment due to the emission of …

Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms

MN Amin, B Iftikhar, K Khan, MF Javed, AM AbuArab… - Structures, 2023 - Elsevier
The use of rice husk ash (RHA) in concrete serves a positive role. The compressive strength
of RHA in concrete is predicted using supervised machine learning approaches such as …

RETRACTED ARTICLE: Effects of waste glass and waste marble on mechanical and durability performance of concrete

J Ahmad, F Aslam, R Martinez-Garcia, J de-Prado-Gil… - Scientific reports, 2021 - nature.com
Industrial waste has been rapidly increased day by day because of the fast-growing
population which results environmental pollutions. It has been recommended that the …

Modified particle packing approach for optimizing waste marble powder as a cement substitute in high-performance concrete

A Essam, SA Mostafa, M Khan, AM Tahwia - Construction and Building …, 2023 - Elsevier
This study explores the potential of utilizing waste marble powder (WMP) instead of cement
to develop environmentally friendly high-performance concrete (Eco-HPC). It assesses Eco …

Machine learning prediction models to evaluate the strength of recycled aggregate concrete

X Yuan, Y Tian, W Ahmad, A Ahmad, KI Usanova… - Materials, 2022 - mdpi.com
Compressive and flexural strength are the crucial properties of a material. The strength of
recycled aggregate concrete (RAC) is comparatively lower than that of natural aggregate …

Prediction of geopolymer concrete compressive strength using novel machine learning algorithms

A Ahmad, W Ahmad, K Chaiyasarn, KA Ostrowski… - Polymers, 2021 - mdpi.com
The innovation of geopolymer concrete (GPC) plays a vital role not only in reducing the
environmental threat but also as an exceptional material for sustainable development. The …

Application of advanced machine learning approaches to predict the compressive strength of concrete containing supplementary cementitious materials

W Ahmad, A Ahmad, KA Ostrowski, F Aslam, P Joyklad… - Materials, 2021 - mdpi.com
The casting and testing specimens for determining the mechanical properties of concrete is
a time-consuming activity. This study employed supervised machine learning techniques …

Predicting the mechanical properties of RCA-based concrete using supervised machine learning algorithms

M Shang, H Li, A Ahmad, W Ahmad, KA Ostrowski… - Materials, 2022 - mdpi.com
Environment-friendly concrete is gaining popularity these days because it consumes less
energy and causes less damage to the environment. Rapid increases in the population and …