JOURNAL ARTICLE

Enhancement on parallel unstructured overset grid method for complex aerospace engineering applications

Tianhang XiaoHaolin ZhiShuanghou DengZhaolin ChenXinying Li

Year: 2022 Journal:   Chinese Journal of Aeronautics Vol: 36 (1)Pages: 115-138   Publisher: Elsevier BV

Abstract

In the present study, an efficient overset grid method by means of parallel implicit hole-cutting is proposed for the sake of simulating unsteady flows in aerospace engineering involving multiple bodies in relative movement. In view of the degraded computational efficiency and robustness for conventional overset grid assembly, several innovative techniques are developed within the overset grid assembly process, viz., a bookkeeping alternative digital tree method to speed up the donor-cell searching, a fast parallel advancing front algorithm to accelerate the wall-distance calculation and a message-passing strategy with efficient information communication and lower storage expenditure within distributed computational architecture. The contribution of the developed techniques is evidenced by comparison with the existing alternative ways in terms of computing efficiency. Subsequently, the overset grid method is embedded into an in-house programed URANS solver to examine its capability in predicting the flow field of complex applications such as helicopter, store separation and component deploying. Results show that the developed overset grid methodology is, in practice, able to resolve the aerodynamic characteristics of complex aerospace engineering with a high-fidelity flow topology and accuracy.

Keywords:
Aerospace Computer science Grid Aerodynamics Computational science Robustness (evolution) Parallel computing Distributed computing Computational fluid dynamics Process (computing) Aerospace engineering Engineering

Metrics

12
Cited By
3.04
FWCI (Field Weighted Citation Impact)
35
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Computational Fluid Dynamics and Aerodynamics
Physical Sciences →  Engineering →  Computational Mechanics
Gas Dynamics and Kinetic Theory
Physical Sciences →  Mathematics →  Applied Mathematics
Fluid Dynamics and Turbulent Flows
Physical Sciences →  Engineering →  Computational Mechanics

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