G
G. J. Hancock
Researcher at Queen Mary University of London
Publications - 10
Citations - 53
G. J. Hancock is an academic researcher from Queen Mary University of London. The author has contributed to research in topics: Vortex & Aerodynamics. The author has an hindex of 4, co-authored 10 publications receiving 53 citations.
Papers
More filters
Journal ArticleDOI
A Numerical Method for Calculating the Trailing Vortex System behind a Swept Wing at Low Speed
D. J. Butter,G. J. Hancock +1 more
TL;DR: In this article, a method is presented for the prediction of the spatial distribution of the trailing vorticity during the rolling up process, thus giving the overall downwash field behind the wing.
Journal ArticleDOI
A review of the aerodynamics of a jet in a cross flow
TL;DR: In this paper, the aerodynamics of a circular jet emerging normally from a wall into a cross flow is critically assessed and the importance of understanding and specifying the jet exit conditions is stressed.
Journal ArticleDOI
Aerodynamic Loading Induced on a Two-Dimensional Wing by a Free Vortex in Incompressible Flow
TL;DR: In this paper, the Kutta condition is applied to the estimation of the aerodynamic load distribution on a moving wing in the neighbourhood of a free vortex, whose axis is primarily in the free stream direction.
Journal ArticleDOI
On the Rolling Up of a Trailing Vortex Sheet
TL;DR: In this paper, it is assumed that a continuous trailing vortex sheet rolls up into two discrete vortices, and these two discrete vortexices are assumed to have cores of finite radius; inside the cores the flow is taken to be solid body rotation, while the flow outside the cores is the standard irrotational vortex field.
Journal ArticleDOI
Part 1 — Introduction to the concept of axiomatic aerodynamic modelling
G. J. Hancock,J. S. Y. Lam +1 more
TL;DR: The aim of axiomatic aerodynamics modelling is introduced, namely to understand the validity of aerodynamic modelling in the context of aircraft dynamics with particular emphasis on understanding the relationship between full-scale flight behaviour as compared with that predicted from data based on wind tunnel tests.