Guest Editor(s)
Prof. Dr. Wael A. Altabey
Email: wael.altabey@gmail.com
Affiliation: Department of Mechanical Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt
Homepage:
Research Interests: energy harvesting, hysteretic systems, structural health monitoring, hysteretic systems, Artificial Intelligence (AI), Non-Destructive Testing (NDT), digital twins model of structural behavior, system identification, damage detection, vibration-based techniques, fiber optical sensing technique, structural control, structural resilience and reliability, fatigue behavior of composite structures, mechanical vibrations, Micro/Nano Electro Mechanical Systems (MEMS/ NEMS)
Summary
Structural Health Monitoring (SHM) systems are pivotal for ensuring the safety, integrity, and residual lifespan of critical civil, aerospace, and industrial infrastructure. However, conventional SHM deployments face a critical bottleneck: reliance on chemical batteries that demand costly, logistically challenging replacements. Piezoelectric Energy Harvesting (PEH) offers a paradigm-shifting pathway toward energy sustainability by autonomously scavenging ambient mechanical strain and high-frequency vibrations to power wireless sensor nodes.
This Special Issue highlights cutting-edge advancements at the intersection of advanced functional materials, electromechanical transducer design, power management circuitry, and smart structural diagnostics. We invite high-quality original research articles, communications, and comprehensive reviews addressing key challenges such as low-frequency broadband harvesting efficiency, durable material integration (e.g., lead-free ceramics and flexible composites), interface circuit optimization, and machine learning-assisted self-powered structural evaluation. The collective contributions of this issue will accelerate the realization of maintenance-free, perpetually powered structural monitoring ecosystems for next-generation smart infrastructure.
The topics of interest for publications include and are not limited to:
· Harvester Design & Modeling
· Power Management & Storage Integration
· Self-Powered Wireless Sensor Nodes
· Smart Diagnostics & Machine Learning
· Field Validations & Case Studies
· Advances in design of energy harvester, using FEM and hybrid methods
· The broadband energy harvester techniques
· Optimization techniques for the piezoelectric energy harvesters
· Nonlinear vibrations-based piezoelectric energy harvesting
· Advances in materials for energy harvesting
· Piezoelectric energy harvester applications in Structural health monitoring (SHM)
· Advanced Energy Harvesting Technologies for Predictive Maintenance
· Piezoelectric energy harvester applications in advanced sensing technologies
· Artificial-intelligence-based methods for piezoelectric energy harvester
· New sources of piezoelectric energy harvester (acoustics, random vibrations, impact, simple harmonic)
Graphic Abstract
Keywords
Structural Health Monitoring (SHM) , piezoelectric energy harvesting, nonlinear vibrations source, broadband energy harvester, energy harvester design, predictive maintenance, sensing technologies, piezoelectric energy harvester applications, Artificial Intelligence(AI)
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