Published December 2018 | Version v1
Journal article

Conservation relation of generalized growth rate in boundary layers

  • 1. Tianjin University, Department of Mechanics (China)
  • 2. China Aerodynamics Research and Development Center, Hypervelocity Aerodynamics Institute (China)

Description

The elementary task is to calculate the growth rates of disturbances when the eN method in transition prediction is performed. However, there is no unified knowledge to determine the growth rates of disturbances in three-dimensional (3D) flows. In this paper, we study the relation among the wave parameters of the disturbance in boundary layers in which the imaginary parts of wave parameters are far smaller than the real parts. The generalized growth rate (GGR) in the direction of group velocity is introduced, and the conservation relation of GGR is strictly deduced in theory. This conservation relation manifests that the GGR only depends on the real parts of wave parameters instead of the imaginary parts. Numerical validations for GGR conservation are also provided in the cases of first/second modes and crossflow modes. The application of GGR to the eN method in 3D flows is discussed, and the puzzle of determining growth rates in 3D flows is clarified. A convenient method is also proposed to calculate growth rates of disturbances in 3D flows. Good agreement between this convenient method and existing methods is found except the condition that the angle between the group velocity direction and the x-direction is close to 90° which can be easily avoided in practical application.

Additional details

Identifiers

Publishing Information

Journal Title
Applied Mathematics and Mechanics
Journal Volume
39
Journal Issue
12
Journal Page Range
p. 1755-1768
ISSN
0253-4827

INIS

Country of Publication
China
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54072493
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
BOUNDARY LAYERS; FORECASTING; THREE-DIMENSIONAL CALCULATIONS
Descriptors DEC
LAYERS

Optional Information

Copyright
Copyright (c) 2018 Shanghai University and Springer-Verlag GmbH Germany, part of Springer Nature