Moving computational multi-domain method for modelling the flow interaction of multiple moving objects

Author(s):  
Momoha Nishimura ◽  
Masashi Yamakawa ◽  
Shinichi Asao ◽  
Seiichi Takeuchi ◽  
Mehdi Badri Ghomizad

Abstract This study proposes a method where the flow field variables are communicated between multiple separate moving computational domains and simulates the flow interaction of multiple moving objects. Instead of using the conventional approach with a single fixed computational domain covering the whole flow field, this method advances the moving computational domain (MCD) method in which the computational domain itself moves in line with the motions of an object inside. The computational domains created around each object move independently, and the flow fields of each domain interact where the flows cross. This eliminates the spatial restriction for simulating multiple moving objects. After the results of the shock tube test verify that the interpolation has been achieved between grids, a validation test is conducted in which two spheres are crossed, and the forces exerted on one object due to the other’s crossing at a short distance are calculated. The results verify the reliability of this method and show that it is applicable to the flow interaction of multiple moving objects.

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Bo Xu ◽  
Tailin Han ◽  
Hong Liu ◽  
Xiao Wang ◽  
Mingchi Ju

In the process of transient test, due to the insufficient bandwidth of the pressure sensor, the test data is inaccurate. Firstly, based on the projection of the shock tube test signal in the sparse domain, the feature expression of the signal sample is obtained. Secondly, the problem of insufficient bandwidth is solved by inverse modeling of sensor dynamic compensation system based on swarm intelligence algorithm. In this paper, the method is used to compensate the shock tube test signals of the 85XX series pressure sensors made by the Endevco company of the United States, the working bandwidth of the sensor is widened obviously, the rise time of the pressure signal can be compensated to 12.5 μs, and the overshoot can be reduced to 8.96%. The repeatability of dynamic compensation is verified for the actual gun muzzle shock wave test data, the results show that the dynamic compensation can effectively recover the important indexes such as overpressure peak value and positive pressure action time, and the original shock wave signal is recovered from the high resonance data.


AIAA Journal ◽  
1965 ◽  
Vol 3 (5) ◽  
pp. 960-961
Author(s):  
PETER JEANMAIRE ◽  
ERIC F. BROCKER

1968 ◽  
Vol 18 (1) ◽  
pp. 116-155 ◽  
Author(s):  
P. J. Musgrove ◽  
J. P. Appleton

Shock Waves ◽  
2010 ◽  
Vol 21 (1) ◽  
pp. 1-17 ◽  
Author(s):  
C. Frazier ◽  
M. Lamnaouer ◽  
E. Divo ◽  
A. Kassab ◽  
E. Petersen

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