Publications by authors named "Islam Ezz El-Arab"
Article Synopsis
- Real-time monitoring of early-age concrete strength using advanced nano-enhanced sensors is crucial for preventing unexpected fractures and ensuring structural integrity.
- This study introduces a hybrid method (NDT-LSTMs-ANN) that combines Non-Destructive Testing techniques with machine learning models to predict concrete strength based on various factors like water-to-cement ratio, temperature, and curing time.
- The results indicate that using piezoelectric-based electro-mechanical impedance technology with these advanced sensors significantly improves concrete strength estimation and enhances safety and efficiency in construction.
