z-logo
Premium
Discrete direct and adjoint sensitivity analysis for arbitrary Mach number flows
Author(s) -
Balasubramanian R.,
Newman J. C.
Publication year - 2006
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.1558
Subject(s) - sensitivity (control systems) , solver , linearization , inviscid flow , unstructured grid , mathematics , mach number , stencil , grid , flux limiter , laminar flow , computer science , discretization , mathematical optimization , computational science , mathematical analysis , geometry , physics , mechanics , nonlinear system , quantum mechanics , electronic engineering , engineering
Parallel discrete direct and adjoint sensitivity analysis capabilities are developed for arbitrary Mach flows on mixed‐element unstructured grids. The discrete direct and adjoint methods need a consistent and complete linearization of the flow‐solver to obtain accurate derivatives. The discontinuous nature of the commonly used unstructured flux‐limiters, like Barth–Jespersen and Venkatakrishnan, make them unsuitable for sensitivity analysis. A modification is proposed to make these limiters piecewise continuous and numerically differentiable , without compromising the monotonicity conditions. An improved version of Symmetric Gauss–Seidel that significantly reduces the computational cost is implemented. A distributed‐memory message passing model is employed for the parallelization of sensitivity analysis solver. These algorithms are implemented within a three‐dimensional unstructured grid framework and results are presented for inviscid, laminar and turbulent flows. Copyright © 2005 John Wiley & Sons, Ltd.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom