Abdulrahman S. Albidah
- Enhanced data-driven shear strength prediction for RC deep beams: analyzing key influencing factors and model performance. In: Structures, v. 70 (Dezember 2024). (2024):
- (2024): Improving Shear Strength Prediction in Steel Fiber Reinforced Concrete Beams: Stacked Ensemble Machine Learning Modeling and Practical Applications. In: Buildings, v. 14, n. 7 (2 Juli 2024).
- Influence of aggregate source and size on the shear behavior of high strength reinforced concrete deep beams. In: Case Studies in Construction Materials, v. 19 (Dezember 2023). (2023):
- Assessment of concrete shear resistance of lightweight SCC beams containing scoria aggregates. In: Journal of Building Engineering, v. 78 (November 2023). (2023):
- Influence of reclaimed asphalt pavement aggregate on the performance of metakaolin-based geopolymer concrete at ambient and elevated temperatures. In: Construction and Building Materials, v. 402 (Oktober 2023). (2023):
- Shear behviour of metakaolin-fly ash based geopolymer concrete deep beams. In: Engineering Structures, v. 275 (Januar 2023). (2023):
- Shear performance of reinforced concrete deep beams using different coarse aggregates under the effect of elevated temperatures. In: Case Studies in Construction Materials, v. 16 (Juni 2022). (2022):
- The effect of coarse aggregate characteristics on the shear behavior of reinforced concrete slender beams. In: Construction and Building Materials, v. 264 (Dezember 2020). (2020):