LAUSR

Abstract Sleeve grouting is widely used for connecting prefabricated buildings (PB) components to form key nodes. Although some nondestructive testing techniques have been tried for the inspection of grouting defects, the application effect is not satisfactory due to its detection lag, poor anti-interference, and program complexity. The quality level of PB nodes is still uncertain, and early warning has not been achieved. This paper develops a quality control model and carries on real-time early warning system application to quality management of PB nodes. Toward this aim, sensing technology is applied to collect quality data, including grouting compactness and mechanical properties inside the sleeves for a prefabricated uniformed layer. This quality control model is verified and validated through a real-world PB project. The results show that it can effectively improve the inspection efficiency and accuracy in PB node quality, specifically in the real-time detection, monitoring and early warning of the quality level.