Shape optimization for suppressing coherent structure of two-dimensional open cavity flow

Autor: Takashi NAKAZAWA, Takashi MISAKA, Clair POIGNARD
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Fluid Science and Technology, Vol 16, Iss 1, Pp JFST0002-JFST0002 (2021)
Druh dokumentu: article
ISSN: 1880-5558
DOI: 10.1299/jfst.2021jfst0002
Popis: This paper presents an optimal design obtained as a shape optimization problem in a domain with a singular point. For shape optimization, the eigenvalue in Snapshot Proper Orthogonal Decomposition (Snapshot POD) is defined as a cost function. The main problems are a Non-stationary Navier–Stokes problem and eigenvalue problem of Snapshot POD. An objective functional is described using Lagrange multipliers and finite element method. Two-dimensional open cavity flow is adopted for an initial domain, where the domain includes a singular point. In this paper, two kinds of sensitivities assuming velocity vector in H1 and H2 are used. Using H1 gradient method for domain deformation, all triangles over a mesh are deformed as the cost function decreases. Finally, eigenvalues of Snapshot POD are compared in the initial and optimal domains.
Databáze: Directory of Open Access Journals