Structural health monitoring for 3D-printed civil infrastructures: a review of challenges, applications and future directions

Abstract

Abstract The integration of 3D printed constructions into civil projects has created new opportunities for economically efficient construction. However, preserving the long-term structural integrity of 3D-printed structures poses considerable challenges. This study covers the importance of structural health monitoring (SHM) and deployment of sensors for condition monitoring of 3D-printed civil infrastructure. It explores a wide range of sensors that might be used for continual evaluation and assessment of structural efficiency and the challenges related to SHM in these components. The report provides cost benefit analysis and case studies describing effective sensor installations in 3D-printed structures, demonstrating the ability of the technology to enhance the safety and integrity of infrastructure systems. It also identifies potential challenges and issues that must be resolved before sensor-based SHM can be successfully used in 3D-printed civil structures. The research emphasizes the potential of maintenance planning and decision support systems for optimizing maintenance schedules, reducing downtime, and increasing cost-effectiveness. This research is critical for academics, engineers, and professionals using sensors for 3D-printed structural systems.