Rapid on-site prediction of concrete compressive strength using integrated machine learning and non-destructive testing
A robust machine learning framework integrating NDT methods rebound hammer (RH) and ultrasonic pulse velocity (UPV) with mix design parameters and curing age precise early strength prediction is developed, demonstrating promising strength prediction capability as early as 3 days under laboratory conditions.