Smart Materials for Structural Health Monitoring, Vibration Control, and Energy Harvesting
This community develops active materials and sensor systems to monitor the condition of engineered structures, control unwanted vibrations, and harvest mechanical energy. The work focuses on integrating piezoelectric and magnetostrictive materials into concrete, composites, and other structural components to detect damage and monitor health in real time.
The research is dominated by the use of piezoelectric transducers, particularly PZT sensors, and giant magnetostrictive actuators for non-destructive testing. Key methods include ultrasonic guided waves, Lamb waves, and electromechanical impedance techniques to identify damage in reinforced concrete and composite structures. The community also investigates vibration control using shape memory alloys and nonlinear energy sinks, alongside energy harvesting systems that convert ambient vibrations into electrical power. Recent work increasingly applies machine learning and deep learning to process sensor data for damage identification and optimal sensor placement.
Terbium research shows the largest share of this community’s output, accounting for 6.5% of all terbium research tracked, with 762 papers. Zirconium and Titanium follow with 1,501 and 1,548 papers respectively, representing 1.0% and 0.5% of their respective element research. The community publishes primarily in Smart Materials and Structures, the Journal of Applied Physics, and IEEE Transactions on Magnetics.
The newest papers continue to focus on advanced Lamb wave techniques for stress measurement, the effect of heat treatment on amorphous alloys, and the application of machine learning to acoustic emission data in carbon fiber reinforced polymers. Recent work also includes the use of nonlinear energy sinks for flutter suppression in graphene-reinforced plates and the assessment of seismic performance in retrofitted concrete structures using polyurethane interventions.