scispace - formally typeset
B

Bryan E. Richards

Researcher at University of Glasgow

Publications -  86
Citations -  2476

Bryan E. Richards is an academic researcher from University of Glasgow. The author has contributed to research in topics: Computational fluid dynamics & Aerodynamics. The author has an hindex of 23, co-authored 86 publications receiving 2326 citations. Previous affiliations of Bryan E. Richards include Imperial College London & Von Karman Institute for Fluid Dynamics.

Papers
More filters
Journal ArticleDOI

Application of generalized differential quadrature to solve two-dimensional incompressible navier-stokes equations

TL;DR: In this paper, a global method of generalised differential quadrature is applied to solve the two-dimensional incompressible Navier-Stokes equations in the vorticity-stream-function formulation.
Journal ArticleDOI

Elements of computational fluid dynamics on block structured grids using implicit solvers

TL;DR: The current strengths and limitations of CFD are shown and a way of enhancing the usefulness of flow simulation for industrial class problems is suggested.
Journal ArticleDOI

Investigation of Three-Dimensional Dynamic Stall Using Computational Fluid Dynamics

TL;DR: In this paper, a detailed numerical study of three-dimensional dynamic stall has been performed using computational fluid dynamics and the results revealed the time evolution of the dynamic stall vortex, which, for this case, takes the shape of a capital omega+spanning the wing.
Journal ArticleDOI

Driving Mechanisms of High-Speed Unsteady Spiked Body Flows, Part 2: Oscillation Mode

TL;DR: In this paper, the driving mechanism of unsteady e ow mode pulsation arising over axisymmetric spiked bodies has been analyzed by using computational engine dynamics as a tool.
Journal ArticleDOI

Solution of the Unsteady Euler Equations Using an Implicit Dual-Time Method

TL;DR: In this paper, an implicit time-marching method for the solution of the unsteady two-dimensional Euler equations on deforming grids is described, and the large sparse linear system arising from the implicit time discretization at each pseudotime step is solved efe ciently by using a conjugate-gradient-type method with a preconditioning based on a block incomplete lower-upper factorization.