International Journal of Mechanical Dynamics and Systems Analysis

International Journal of Mechanical Dynamics and Systems Analysis is a peer-reviewed online journal launched in 2023 that is concerned with the recent advancement in mechanical dynamics and analysis. Both experimental and theoretical papers are welcome, and the journal also publishes editorial reviews, short communication, and comparative data analysis in the related fields of mechanical dynamics. The focus of the journal is on various aspects of the matter, structural and network dynamics, as well as the practical aspects of the theory and application of the research.

The journal welcomes original research articles, theoretical and experimental papers, systematic literature reviews, case studies, short communications, and invited editorials in the following thematic areas:

• Aerodynamics and Fluid Dynamics: aerodynamic forces and flows, insect and animal flight dynamics, flapping wing mechanisms, leading-edge vortex phenomena, quasi-steady and unsteady aerodynamic modeling, wind and turbulent flow analysis, and aerodynamic design optimization.
• Structural Dynamics and Vibration Analysis: dynamic behavior of structures and mechanical systems, eigenvalue analysis and natural frequency identification, flutter and vibration control, uncertainty quantification in structural systems, optimization of structural response, turbomachinery dynamics, and parameter identification techniques.
• Nonlinear Dynamics and Complex Systems: nonlinear system behavior and identification, chaotic dynamics and bifurcation analysis, Kalman filtering and state estimation, statistical linearization methods, complex systems modeling, and analytical and numerical solutions to nonlinear differential equations.
• System Dynamics and Engineering Modeling: Dynamic modeling of mechanical and engineering systems, system identification, simulation, process dynamics, control-oriented modeling, optimization, and analysis of complex engineering systems.
• Computational Fluid Dynamics and Intelligent Computing: computational fluid dynamics (CFD) simulations and analysis, machine learning and artificial intelligence applications in fluid mechanics, hybrid predictive models, adaptive neuro-fuzzy inference systems (ANFIS), big data analytics and pattern recognition, soft computing and optimization algorithms, and forecasting and decision-support systems.
• Network Dynamics and Computational Modeling: network analysis and complex systems behavior, computational geometry and mesh generation, solid modeling and boundary element methods, data mining and analytical techniques, fluid-structure interaction analysis, and multiphysics simulation.
• Material and Structural Dynamics: Dynamic behavior of engineering materials and structures, phase transformation, deformation and failure, fracture dynamics, material characterization, computational materials modeling, and multiscale mechanical analysis.
• Advanced and Multiscale Mechanical Dynamics: Microscale and nanoscale mechanical phenomena, molecular dynamics of engineering materials, shock and wave propagation, fluid-structure interactions, computational mechanics, and dynamic behavior of advanced mechanical systems.