Adjoint methods for turbulent flows, applied to shape or topology optimization and robust design
Abstract
The present dissertation deals with the mathematical formulation, programming and validation ofadjoint methods for the computation of sensitivity derivatives of objective functions related toaerodynamics/hydrodynamics and the utilization of the latter in optimization algorithms. Methods basedon both the discrete and continuous adjoint approaches are presented. Academic and industrial casesare tackled in the fields of shape optimization, topology optimization and optimization underuncertainties (robust design).Regarding shape optimization, the continuous adjoint method is extended to cover incompressibleflows governed by the low-Re number Launder-Sharma k-ε and the high-Re number Spalart-Allmarasturbulence models, overcoming the implications of neglecting the differentiation of these models on theoptimization process. A significant part of the thesis is concerned with applications of the developedmethods to relevant industrial problems. In specific, the drag minimization of passenger ca ...
show more
Download full text in PDF format (9.44 MB)
(Available only to registered users)
|
All items in National Archive of Phd theses are protected by copyright.
|
Usage statistics
VIEWS
Concern the unique Ph.D. Thesis' views for the period 07/2018 - 07/2023.
Source: Google Analytics.
Source: Google Analytics.
ONLINE READER
Concern the online reader's opening for the period 07/2018 - 07/2023.
Source: Google Analytics.
Source: Google Analytics.
DOWNLOADS
Concern all downloads of this Ph.D. Thesis' digital file.
Source: National Archive of Ph.D. Theses.
Source: National Archive of Ph.D. Theses.
USERS
Concern all registered users of National Archive of Ph.D. Theses who have interacted with this Ph.D. Thesis. Mostly, it concerns downloads.
Source: National Archive of Ph.D. Theses.
Source: National Archive of Ph.D. Theses.