Enhanced High-Order Scheme for High-Resolution Rotorcraft Flowfield Analysis

AIAA Journal ◽  
2021 ◽  
pp. 1-16
Author(s):  
Yoonpyo Hong ◽  
Dawoon Lee ◽  
Kwanjung Yee ◽  
Soo Hyung Park
Keyword(s):  
High Resolution ◽  
High Order ◽  
High Order Scheme ◽  
Order Scheme

HIGH-ORDER SCHEME IMPLEMENTATION USING NEWTON-KRYLOV SOLUTION METHODS

1997 ◽  
Vol 31 (3) ◽  
pp. 295-312 ◽  
Author(s):  
Richard W. Johnson ◽  
Paul R. McHugh ◽  
Dana A. Knoll
Keyword(s):  
High Order ◽  
High Order Scheme ◽  
Solution Methods ◽  
Order Scheme

S1910103 Computation of Forced Turbulent Flow over Reentry Capsule Afterbody with High Order Scheme

2014 ◽  
Vol 2014 (0) ◽  
pp. _S1910103--_S1910103-
Author(s):  
Tomoaki Ishihara ◽  
Yousuke Ogino ◽  
Naofumi Ohnishi ◽  
Keisuke Sawada ◽  
Hideyuki Tanno
Keyword(s):  
Turbulent Flow ◽  
High Order ◽  
High Order Scheme ◽  
Order Scheme

scholarly journals On the Integration Schemes of Retrieving Impulse Response Functions from Transfer Functions

2010 ◽  
Vol 2010 ◽  
pp. 1-9 ◽  
Author(s):  
Kui Fu Chen ◽  
Yan Feng Li
Keyword(s):  
Numerical Integration ◽  
Transfer Functions ◽  
Sampling Interval ◽  
High Order ◽  
Impulse Response Functions ◽  
Inverse Laplace Transformation ◽  
High Order Scheme ◽  
Integration Schemes ◽  
Order Scheme ◽  
Better Than

The numerical inverse Laplace transformation (NILM) makes use of numerical integration. Generally, a high-order scheme of numerical integration renders high accuracy. However, surprisingly, this is not true for the NILM to the transfer function. Numerical examples show that the performance of higher-order schemes is no better than that of the trapezoidal scheme. In particular, the solutions from high-order scheme deviate from the exact one markedly over the rear portion of the period of interest. The underlying essence is examined. The deviation can be reduced by decreasing the frequency-sampling interval.

Sign in / Sign up

Export Citation Format

Share Document