A characteristic-featured shock wave indicator for simulating high-speed inviscid flows on 3D unstructured meshes

Yiwei Feng; Tiegang Liu; Xiaofeng He; Bin Zhang; Kun Wang

doi:10.1186/s42774-021-00084-9

A characteristic-featured shock wave indicator for simulating high-speed inviscid flows on 3D unstructured meshes

Yiwei Feng
, Tiegang Liu
, Xiaofeng He
, Bin Zhang
, Kun Wang^*

^*Corresponding author for this work

School of Mathematical Sciences

Beihang University

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

In this work, we extend the characteristic-featured shock wave indicator based on artificial neuron training to 3D high-speed flow simulation on unstructured meshes. The extension is achieved through dimension splitting. This leads to that the proposed indicator is capable of identifying regions of flow compression in any direction. With this capability, the indicator is further developed to combine with h-adaptivity of mesh refinement to improve resolution with less computational costs. The present indicator provides an attractive alternative for constructing high-resolution, high-efficiency shock-processing methods to simulate high-speed inviscid flows.

Original language	English
Article number	27
Journal	Advances in Aerodynamics
Volume	3
Issue number	1
DOIs	https://doi.org/10.1186/s42774-021-00084-9
State	Published - Dec 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

H-adaptive method
High-order high-resolution method
Shock wave detector
Transonic supersonic flow

Access to Document

10.1186/s42774-021-00084-9

Cite this

@article{1acca76555f041ccb738f0e43e0da279,

title = "A characteristic-featured shock wave indicator for simulating high-speed inviscid flows on 3D unstructured meshes",

abstract = "In this work, we extend the characteristic-featured shock wave indicator based on artificial neuron training to 3D high-speed flow simulation on unstructured meshes. The extension is achieved through dimension splitting. This leads to that the proposed indicator is capable of identifying regions of flow compression in any direction. With this capability, the indicator is further developed to combine with h-adaptivity of mesh refinement to improve resolution with less computational costs. The present indicator provides an attractive alternative for constructing high-resolution, high-efficiency shock-processing methods to simulate high-speed inviscid flows.",

keywords = "H-adaptive method, High-order high-resolution method, Shock wave detector, Transonic supersonic flow",

author = "Yiwei Feng and Tiegang Liu and Xiaofeng He and Bin Zhang and Kun Wang",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s).",

year = "2021",

month = dec,

doi = "10.1186/s42774-021-00084-9",

language = "英语",

volume = "3",

journal = "Advances in Aerodynamics",

issn = "2097-3462",

publisher = "Springer Nature",

number = "1",

}

TY - JOUR

T1 - A characteristic-featured shock wave indicator for simulating high-speed inviscid flows on 3D unstructured meshes

AU - Feng, Yiwei

AU - Liu, Tiegang

AU - He, Xiaofeng

AU - Zhang, Bin

AU - Wang, Kun

PY - 2021/12

Y1 - 2021/12

N2 - In this work, we extend the characteristic-featured shock wave indicator based on artificial neuron training to 3D high-speed flow simulation on unstructured meshes. The extension is achieved through dimension splitting. This leads to that the proposed indicator is capable of identifying regions of flow compression in any direction. With this capability, the indicator is further developed to combine with h-adaptivity of mesh refinement to improve resolution with less computational costs. The present indicator provides an attractive alternative for constructing high-resolution, high-efficiency shock-processing methods to simulate high-speed inviscid flows.

AB - In this work, we extend the characteristic-featured shock wave indicator based on artificial neuron training to 3D high-speed flow simulation on unstructured meshes. The extension is achieved through dimension splitting. This leads to that the proposed indicator is capable of identifying regions of flow compression in any direction. With this capability, the indicator is further developed to combine with h-adaptivity of mesh refinement to improve resolution with less computational costs. The present indicator provides an attractive alternative for constructing high-resolution, high-efficiency shock-processing methods to simulate high-speed inviscid flows.

KW - H-adaptive method

KW - High-order high-resolution method

KW - Shock wave detector

KW - Transonic supersonic flow

UR - https://www.scopus.com/pages/publications/85116055115

U2 - 10.1186/s42774-021-00084-9

DO - 10.1186/s42774-021-00084-9

M3 - 文章

AN - SCOPUS:85116055115

SN - 2097-3462

VL - 3

JO - Advances in Aerodynamics

JF - Advances in Aerodynamics

IS - 1

M1 - 27

ER -

A characteristic-featured shock wave indicator for simulating high-speed inviscid flows on 3D unstructured meshes

Abstract

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this