STRUCTURED PSEUDOSPECTRA IN PROBLEMS OF SPATIAL STABILITY OF BOUNDARY LAYERS

The paper is devoted to the numerical analysis of the sensitivity of the characteristics of spatial stability of boundary layers to the errors with which the main flow is specified. It is proposed to use structured pseudospectra for this purpose. It is shown that the obtained estimates are significantly more accurate than the estimates based on the unstructured pseudospectrum. The presentation is carried out using the example of a viscous incompressible fluid flow over a concave surface of small curvature with flow parameters favorable for the development of Goertler vortices and Tollmien–Schlichting waves.

Authors

Institutions

Publication Details

Journal
Журнал вычислительной математики и математической физики
Published
2024-12-15
DOI
https://doi.org/10.31857/s0044466924080125
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

STRUCTURED PSEUDOSPECTRA IN PROBLEMS OF SPATIAL STABILITY OF BOUNDARY LAYERS

K. V. Demyanko, Yu. M. Nechepurenko, G. V. Zasko
Журнал вычислительной математики и математической физики
Fluid Dynamics and Turbulent Flows
article

STRUCTURED PSEUDOSPECTRA IN PROBLEMS OF SPATIAL STABILITY OF BOUNDARY LAYERS

K. V. Demyanko, Yu. M. Nechepurenko, G. V. Zasko
article en

Abstract

The paper is devoted to the numerical analysis of the sensitivity of the characteristics of spatial stability of boundary layers to the errors with which the main flow is specified. It is proposed to use structured pseudospectra for this purpose. It is shown that the obtained estimates are significantly more accurate than the estimates based on the unstructured pseudospectrum. The presentation is carried out using the example of a viscous incompressible fluid flow over a concave surface of small curvature with flow parameters favorable for the development of Goertler vortices and Tollmien–Schlichting waves.

Журнал вычислительной математики и математической физикиVol. 64(8)
Russian Academy of Sciences (RU), Institute of Numerical Mathematics (RU), Keldysh Institute of Applied Mathematics (RU)
Sustainable cities and communities
Openalex Percentile: Top 73%
Fluid Dynamics and Turbulent Flows
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.