Ayaz Ahmad
- Data-driven approaches for strength prediction of alkali-activated composites. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024). (2024):
- Recent advancements and future trends in 3D concrete printing using waste materials. Dans: Developments in the Built Environment, v. 16 (décembre 2023). (2023):
- Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder. Dans: Case Studies in Construction Materials, v. 18 (juillet 2023). (2023):
- Performance characteristics of cementitious composites modified with silica fume: A systematic review. Dans: Case Studies in Construction Materials, v. 18 (juillet 2023). (2023):
- A worldwide development in the accumulation of waste tires and its utilization in concrete as a sustainable construction material: A review. Dans: Case Studies in Construction Materials, v. 17 (décembre 2022). (2022):
- Potential use of waste eggshells in cement-based materials: A bibliographic analysis and review of the material properties. Dans: Construction and Building Materials, v. 344 (août 2022). (2022):
- Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques. Dans: Case Studies in Construction Materials, v. 16 (juin 2022). (2022):
- A comprehensive overview of geopolymer composites: A bibliometric analysis and literature review. Dans: Case Studies in Construction Materials, v. 16 (juin 2022). (2022):
- A scientometric analysis approach to analyze the present research on recycled aggregate concrete. Dans: Journal of Building Engineering, v. 46 (avril 2022). (2022):
- A systematic review of waste materials in cement-based composites for construction applications. Dans: Journal of Building Engineering, v. 45 (janvier 2022). (2022):
- A scientometric review of waste material utilization in concrete for sustainable construction. Dans: Case Studies in Construction Materials, v. 15 (décembre 2021). (2021):
- Sustainable approach of using sugarcane bagasse ash in cement-based composites: A systematic review. Dans: Case Studies in Construction Materials, v. 15 (décembre 2021). (2021):
- Predicting the compressive strength of concrete with fly ash admixture using machine learning algorithms. Dans: Construction and Building Materials, v. 308 (novembre 2021). (2021):
- (2021): Compressive Strength Prediction via Gene Expression Programming (GEP) and Artificial Neural Network (ANN) for Concrete Containing RCA. Dans: Buildings, v. 11, n. 8 (27 juillet 2021).