Guest Editors
Prof. Wael A. Altabey
Email: wael.altabey@gmail.com
Affiliation: Department of Mechanical Engineering, Faculty of Engineering, Alexandria University, Alexandria, 21544, Egypt
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Research Interests: smart and nanomaterials, composite structures, structure health monitoring (SHM), artificial intelligence (AI), non-destructive evaluation (NDE), damage identification, vibration-based damage detection, fiber optical sensing technique, structural control

Summary
Structural health monitoring (SHM) is an innovative, non-destructive method for keeping tabs on and assessing the condition of a structure by using sensing systems installed in or on the structure throughout its lifespan. It's being widely used across various industries, including civil engineering, aerospace, oil and gas, railways, nuclear, and renewable energy. One of the great things about SHM is its ability to respond quickly to any adverse changes in structure, which helps cut down on inspection costs, lowers preventative maintenance needs, and boosts reliability and lifecycle management. With the help of extensive SHM data processing, there's also the potential to enhance design margins for lightweight structures and make strides in structural certification and quality assurance.
SHM clearly sits at the crossroads of multiple engineering disciplines. For a thorough evaluation of structural safety and health, an SHM system needs to encompass structural design, sensor monitoring, material applications, and mass data analysis. Given the complexities of modern structures, the introduction of new materials, and challenging application environments, traditional methods are increasingly hitting walls. In recent years, advances in sensing technology, breakthroughs in nano and smart materials, along with the rapid growth of AI algorithms, have opened up exciting new avenues for SHM research.
This Research Topic is designed to help researchers dive deeper into the latest and advanced structural health monitoring techniques that involve cutting-edge sensing systems, nano and smart materials, as well as intelligent algorithms applied across various sectors. We invite contributions of Original Research and Review papers from researchers sharing recent developments in SHM technology. Potential topics include, but aren't limited to:
· Novel distributed sensing tech that's applicable across different areas of engineering.
· Advanced nanomaterials and smart materials specifically for structural health monitoring (SHM) systems.
· Intelligent algorithms and AI techniques for developing the tasks like data compression and mining.
· On the math side, a new theories and methods that relate to SHM systems as well.
· Other related aspects.
Graphic Abstract
Keywords
structural health monitoring, structural control, smart materials and structures, nanomaterials and nanocomposites, sensors and actuators, energy harvesting, artificial intelligence, damage detection, system identification, machine learning, sensor placement, intelligent structure systems
Published Papers