Aerospace Engineering and Energy Systems

External reference: https://openalex.org/T12719

  1. AIRWAKE CONTROL OF ONR TUMBLEHOME USING CVG
    Computational study validates passive airwake control on ONR Tumblehome using columnar vortex generators to reduce turbulence and flow recirculation over flight decks.
  2. Reduced-order kite model matches soft-kite trajectories at low loadings
    Reduced-order model for bridled kite translational dynamics in airborne wind energy systems, balancing computational efficiency with predictive accuracy across soft and hard-wing designs.
  3. Locally connected tensegrity structure shows multistable, tunable performance
    Locally-elastically-connected clustered tensegrity structure achieving multistability and tunable load-bearing performance via coupled cable mechanisms with variable stiffness design and 650%.
  4. Improved black-winged kite algorithm outperformed comparison methods
    Improved black-winged kite optimization algorithm combining multiple strategies to prevent local optima and enhance convergence, with application to predictive modeling.
  5. Cable dynamic response model verified by simulation
    Numerical framework for dynamic response analysis of airborne wind energy parafoil towing cables, enabling design optimization and operational monitoring through transient load simulation.
  6. Soil properties affect landing airbag cushioning performance
    Explore how soil parameters like density and shear modulus affect landing airbag cushioning performance through integrated dynamics modeling and experimental validation for aerospace systems.
  7. Chemically inflated airbag reduced UAV impact force
    Chemical reaction airbag system for drones reduces impact forces by 66% during free-fall collisions, enabling safer autonomous UAV operations without excessive payload burden.
  8. High-altitude ice clouds show daytime cooling and nighttime warming
    A rapid satellite-based methodology quantifies radiative forcing from high-altitude ice clouds and contrails using geostationary observations with 15% accuracy.