Bulletin of the American Physical Society
76th Annual Meeting of the Division of Fluid Dynamics
Sunday–Tuesday, November 19–21, 2023; Washington, DC
Session ZC26: Flow Instability: General
12:50 PM–3:00 PM,
Tuesday, November 21, 2023
Room: 151A
Chair: Elijah Yoder, Liberty University
Abstract: ZC26.00007 : Mesh-free hydrodynamic stability*
2:08 PM–2:21 PM
Presenter:
Tianyi Chu
(University of California, San Diego)
Authors:
Tianyi Chu
(University of California, San Diego)
Oliver T Schmidt
(University of California, San Diego)
function-based finite differences (RBF-FD). Polyharmonic spline RBFs with polynomial augmentations (PHS+poly)
are used to construct the discrete linearized Navier-Stokes and resolvent operators on scattered nodes. This scheme
enables accurate, stable, and computationally efficient discretizations of the large matrix problems arising in two-
dimensional hydrodynamic stability analysis. The study addresses the trade-off between computational efficiency
and accuracy and provides best practices. Furthermore, the practical treatment of boundary conditions, including
the pole singularity in cylindrical coordinates, is examined and discussed. The numerical framework is validated
across various hydrodynamic stability theoretical methods and flows. This includes conducting linear stability (LST),
resolvent (RA), and wavemaker (WM) analyses for the canonical cylinder flow at Reynolds numbers ranging from
47 to 180. Additionally, RA and WM analyses are performed for a laminar zero-pressure-gradient (ZPG) flat-plate
Blasius boundary layer at a Reynolds number of 0 ≤ Re ≤ 6 × 105, as well as the turbulent mean transonic jet at
Mach number 0.9 and a Reynolds number of approximately 106. The comparisons of these benchmark problems with
the literature demonstrate the broad applicability, accuracy, and robustness of the mesh-free framework. Lastly, the
pioneering application of RA-based WM analysis on the Blasius boundary layer and turbulent jet offers new insights
into modal and non-modal growth in these flows.
*We gratefully acknowledge support by the National Science Foundation under Grant No. CBET-1953999 (PM Ron Joslin).
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