Advancements in Structural Vibration: Signal Processing, Optimization, Modeling for Improvement Structural Health Monitoring

Research objectives：

Dear Colleagues,

As engineering technology has quickly advanced, today’s structures are becoming bigger, more intricate, and high-performing. This growth has made structural vibration a significant concern across various fields like civil, mechanical, aerospace, and marine engineering. Addressing these challenges is essential for maintaining structural safety, durability, efficiency, and longevity, which is why research on structural vibrations is so important in both academia and industry. In this research project, we’ll be highlighting the latest developments in the field. Topics will include everything from linear and nonlinear dynamic modeling of structural vibrations to modal analysis and identifying parameters, stability analysis, and examining bifurcation and chaotic behaviors. Plus, we’ll look at multi-field coupling mechanisms, wave propagation theory, and control strategies, as well as efficient numerical algorithms, motion simulations, and statistical analyses. We’ll also explore multi-scale modeling of large, complex structures, design and optimization of vibration test systems, marine structure vibration testing and data analysis, passive vibration control, and optimization techniques for vibration suppression, including AI applications. We also encourage submissions that take an interdisciplinary approach to tackle complex vibration issues to help merge theory with practice.

 

Wael A. Altabey

Keywords：

• Signal Processing
• Dynamic Modeling
• Modal Analysis
• Vibration
• Acoustic
• Numerical Simulation
• A data-driven AI model
• Structural Health Monitoring
• Artificial Intelligence
• Machine Learning
• Deep Learning
• Damage Identification
• Feature extraction

Expected Outcomes：

Academic: Peer-reviewed publications