International Journal of Mechanical Dynamics and Systems Analysis

Editors Overview

ijmdsa maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Focus and Scope

About the Journal

International Journal of Mechanical Dynamics and Systems Analysis is a peer-reviewed hybrid open-access journal launched in 2015 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.

Focus and Scope

  • Aerodynamics: Insect flight, aerodynamics, Kramer effect, delayed stall, quasi-steady modeling, flapping flight, kinematics, forces, flows, leading-edge vortex.
  • Nonlinear dynamics, structural dynamics: Kalman filter, Nonlinear structural dynamics, Parameter identification, Statistical linearization, Nonlinear system, identificationStructural dynamics, Review.
  • System Dynamics: Monetary Policy, Business Cycle, Mental Model, Junior High School, System Dynamic Model, Agricultural and aquacultural systems, Complex issues and problems, Computer simulation, Environmental and socio-economic systems, Industrial processes, Management strategies for sustainable development, Modelling of complex systems, Policy Planning and Management, System Dynamics, Systems Analysis, Systems thinking.
  • Structural dynamics: Structural dynamics, Uncertainty, Blades, Design, Eigenvalues, Event history analysis, Flutter (Aerodynamics), Optimization, Theorems (Mathematics), Turbomachinery.
  • Computational fluid dynamics, Intelligent Machine: Machine learning, computational fluid dynamics (CFD), hybrid model, adaptive neuro-fuzzy inference system (ANFIS), artificial intelligence, big data, prediction, forecasting, optimization, hydrodynamics, fluid dynamics, soft computing, computational intelligence, computational fluid mechanics.
  • Nonlinear Dynamics and Network Dynamics: Computational fluid dynamics, Lungs, Fluid flow, Humans, Computational modeling, Data mining, Geometry, Solid modeling, Mesh generation, Boundary conditions.
  • Condensed Matter Dynamics: Phase-field-crystal models, static and dynamical density functional theory, condensed matter dynamics of liquid crystals, nucleation and pattern formation, simulations in materials science, colloidal crystal growth, and growth anisotropy.
  • Quantum Condensed Matter Dynamics: Shock Wave, Cavitation, Molecular Dynamic Simulation, JETP Letter, Pump Pulse, phase-field-crystal models, static and dynamical density functional theory, condensed matter dynamics of liquid crystals, nucleation and pattern formation, simulations in materials science, colloidal crystal growth and growth anisotropy.
  • Ultrafast Electron Dynamics:Ultrafast electron nanocrystallography, structural dynamics, femtosecond laser, nanomaterials, charge transport, photovoltage.

Keywords

  • Aerodynamics
  • Ultrafast Electron Dynamics
  • Structural dynamics
  • Electrohydrodynamics
  • Network Dynamics