Real-time concrete strength monitoring using piezoelectric sensors and deep learning.

ABSTRACT: This study presents a transformative advancement in civil engineering by integrating artificial intelligence with infrastructure sensing to redefine concrete structures testing and monitoring. Traditional methods for evaluating concrete performance, largely unchanged for over a century, rely on labor-intensive, proxy-based techniques that are both time-consuming and limited in reliability. Our approach combines using piezoelectric sensors with AI-driven data analysis to enable real-time, in situ monitoring of structural conditions with enhanced accuracy and automation. By employing deep learning models to interpret electromechanical impedance signals, the system eliminates the need for destructive testing or human intervention, offering a scalable solution suitable for real-world deploymen

SUBMITTER: Han G 

PROVIDER: S-EPMC12800108 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature