His primary areas of study are Computational fluid dynamics, Aerodynamics, Applied mathematics, Aerospace engineering and Flutter. His Computational fluid dynamics research is multidisciplinary, incorporating perspectives in Mathematical analysis, Euler equations, Airfoil, Mesh generation and Solver. The study incorporates disciplines such as Simulation, Computer simulation and Surrogate model in addition to Aerodynamics.
Ken Badcock has included themes like Spline, Fluid–structure interaction, Frequency domain and Mathematical optimization in his Applied mathematics study. His study explores the link between Aerospace engineering and topics such as Vortex that cross with problems in Stall, Boundary layer and Leading edge. In his research, Grid and Finite element method is intimately related to Aeroelasticity, which falls under the overarching field of Flutter.
Ken Badcock mainly investigates Computational fluid dynamics, Aerodynamics, Aeroelasticity, Mechanics and Transonic. His studies deal with areas such as Control theory, Airfoil, Applied mathematics, Solver and Wing as well as Computational fluid dynamics. His Aerodynamics research incorporates themes from Wind tunnel and Nonlinear system.
His Aeroelasticity study incorporates themes from Structural engineering, Finite element method and Flutter. In the field of Mechanics, his study on Vortex, Mach number, Turbulence and Reynolds-averaged Navier–Stokes equations overlaps with subjects such as Materials science. His work deals with themes such as Flow, Angle of attack and Range, which intersect with Transonic.
Ken Badcock focuses on Computational fluid dynamics, Aerodynamics, Nonlinear system, Control theory and Applied mathematics. His research integrates issues of Work, Flutter, Aeroelasticity, Simulation and Solver in his study of Computational fluid dynamics. His Aerodynamics research is included under the broader classification of Aerospace engineering.
His work carried out in the field of Nonlinear system brings together such families of science as Wing and Reduced order. His research in Control theory intersects with topics in Control engineering and Angle of attack. His biological study spans a wide range of topics, including Time domain, Fourier transform, Surrogate model and Euler equations.
Ken Badcock spends much of his time researching Aerodynamics, Computational fluid dynamics, Nonlinear system, Control theory and Jacobian matrix and determinant. Ken Badcock combines subjects such as Airfoil, Mathematical optimization and Flight simulator with his study of Aerodynamics. The Computational fluid dynamics study combines topics in areas such as Frequency domain, Solver, Applied mathematics and Flight dynamics.
Ken Badcock has researched Solver in several fields, including Linear system and Flutter. His work in Jacobian matrix and determinant addresses subjects such as Reduction, which are connected to disciplines such as Structural engineering, Basis, Response analysis and Aeroelasticity. His Angle of attack study integrates concerns from other disciplines, such as Mach number and Classical mechanics.
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A framework for CFD analysis of helicopter rotors in hover and forward flight
R. Steijl;G. Barakos;G. Barakos;K. Badcock.
International Journal for Numerical Methods in Fluids (2006)
Elements of computational fluid dynamics on block structured grids using implicit solvers
K.J. Badcock;B.E. Richards;M.A. Woodgate.
Progress in Aerospace Sciences (2000)
Interval model updating with irreducible uncertainty using the Kriging predictor
Hamed Haddad Khodaparast;John E. Mottershead;Kenneth J. Badcock.
Mechanical Systems and Signal Processing (2011)
Investigation of Three-Dimensional Dynamic Stall Using Computational Fluid Dynamics
Agis Spentzos;George N. Barakos;Ken J. Badcock;Bryan E. Richards.
AIAA Journal (2005)
Driving Mechanisms of High-Speed Unsteady Spiked Body Flows, Part 2: Oscillation Mode
Daniel Feszty;Ken J. Badcock;Bryan E. Richards.
AIAA Journal (2004)
Linear Frequency Domain and Harmonic Balance Predictions of Dynamic Derivatives
A. Da Ronch;A. J. McCracken;K. J. Badcock;M. Widhalm.
Journal of Aircraft (2013)
Non-linear aeroelastic prediction for aircraft applications
M. J. de C. Henshaw;K. J. Badcock;G. A. Vio;C. B. Allen.
Progress in Aerospace Sciences (2007)
Implicit Harmonic Balance Solver for Transonic Flow with Forced Motions
M. A. Woodgate;K. J. Badcock.
AIAA Journal (2009)
Evaluation of Dynamic Derivatives Using Computational Fluid Dynamics
A. Da Ronch;D. Vallespin;M. Ghoreyshi;K. J. Badcock.
AIAA Journal (2012)
A data exchange method for fluid-structure interaction problems
G. S. L. Goura;K. J. Badcock;M. A. Woodgate;B. E. Richards.
Aeronautical Journal (2001)
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