Systematic computational methods of unsteady flow simulation based on computational fluid dynamics

Research Article
Open access

Systematic computational methods of unsteady flow simulation based on computational fluid dynamics

Yitao Liu 1*
  • 1 Tsinghua University    
  • *corresponding author liuyitao20@mails.tsinghua.edu.cn
Published on 25 September 2023 | https://doi.org/10.54254/2755-2721/12/20230328
ACE Vol.12
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-013-4
ISBN (Online): 978-1-83558-014-1

Abstract

Unsteady flow is the dominant flow state in real life; thus, the simulation of it is of vital importance, especially in engineering, for example, the flutter or buffeting of the aerofoil. In the past decades, the progress in computational science greatly paced the development of computational fluid dynamics (CFD), providing powerful tools for simulating unsteady flow via numerical methods. However, the unsteady flow state depends on more variables than a steady flow, including the external conditions in different time moments and the flow's properties that vary with time. The calculation is still too massive, even using CFD. Therefore, CFD algorithms with higher efficiency and less reduction in accuracy are still needed to optimize the technique. This paper reviews the main CFD computational methods that have been maturely developed and proven effective, including direct numerical simulation (DNS), classic turbulence models and reduced order model (ROM), illustrating the main mechanisms and displaying their features. The paper also sheds light on these methods' latest research progress.

Keywords:

computational fluid dynamics, numerical methods, unsteady flow simulation.

Liu,Y. (2023). Systematic computational methods of unsteady flow simulation based on computational fluid dynamics. Applied and Computational Engineering,12,151-163.
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References

[1]. Zhang W, Gong Y and Kou J 2021 Fundamentals of unsteady flow and flow control (Beijing: Science Press)

[2]. Zhang W, Gong Y and Liu Y 2019 Advances in Mechanics 49 201907

[3]. Bendiksen O 1997 In Proceedings of the International Forum on Aeroelasticity and Structural Dynamics June 425.

[4]. Bendiksen O 2004 Proceedings of the Institution of Mechanical Engineers 218 157.

[5]. Gopinath A and Jamesony A 2002 AIAA Journal 40 879

[6]. Kevin T, Antony J, Mykel J, Jeremy M, Peng L and Freddie D 2019 Journal of Computational Physics 395 105

[7]. Duffin C, Cripps E, Stemler T and Girolami M 2021 Proceedings of the National Academy of Sciences of the United States of America 2 118

[8]. Carlos U, David P and Ángel J 2022 Computer Methods in Applied Mechanics and Engineering 391 114562

[9]. Slontnick J, Khodadoust A, Alonso J, et al. 2014 CFD vision 2030 study: A Path to Revolutionary Computational Aerosciences NASA/CR-2014-218178

[10]. Spalart P, Jou W, Strelets M, et al. 1997 Advances in DNS/LES (Columbus: Greyden Press) 137

[11]. Launder B and Spalding D 1974 Computer Methods in Applied Mechanics and Engineering 3 269 Wilcox D 2008 AIAA Journal 46 2823

[12]. Wilcox D 2008 AIAA Journal 46 2823

[13]. Liu G 2016 Numerical methods of fluid dynamics (Beijing: Metallurgical Industry Press)

[14]. Yakhot V, Orszag S 1986 Journal of Scientific Computing 1 3

[15]. Smagorinsky J 1963 Mon. Weather Rev. 91 99

[16]. Strelets M 2001 AIAA-2001-0879 (Reston: AIAA)

[17]. Menter F 1994 AIAA Journal 32 1598

[18]. Fröhlich J and Terzi D 2008 Progress in Aerospace Sciences 44 349

[19]. Liu Z, Wang C, Zhang K, Zhao Z and Xie Z 2021 Appl. Sci 11 9272

[20]. Wang Y, Zhang F, Yuan S, Chen K, Wei X and Appiah D 2020 ASME. J. Fluids Eng 142 061503

[21]. Ali Z, Sung J and Jin T 2020 Aerospace Science and Technology 100 105793

[22]. Schmid P 2010 Journal of Fluid Mechanics 656 5

[23]. Li D, Andrea R, Chen G and Li Y 2019 Aerospace Science and Technology 94 105354

[24]. Chen Z, Zhao Y and Huang R 2019 Aerospace Science and Technology 87 1

[25]. César Q, Rossella A, Pin W, Pain C and Guo Y 2020 Physica D: Nonlinear Phenomena 412 132615

[26]. Pranshu P, Ruchit D, Pranav B and Amir B 2021 Physics of Fluids 33 107101

[27]. Gianmarco A, Marco F and Alessandro P 2021 Proceedings of the Combustion Institute 38 5373

Cite this article

Liu,Y. (2023). Systematic computational methods of unsteady flow simulation based on computational fluid dynamics. Applied and Computational Engineering,12,151-163.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Mechatronics and Smart Systems

ISBN：978-1-83558-013-4(Print) / 978-1-83558-014-1(Online)
Editor：Seyed Ghaffar, Alan Wang
Conference website: https://2023.confmss.org/
Conference date: 24 June 2023
Series: Applied and Computational Engineering
Volume number: Vol.12
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Zhang W, Gong Y and Kou J 2021 Fundamentals of unsteady flow and flow control (Beijing: Science Press)

[2]. Zhang W, Gong Y and Liu Y 2019 Advances in Mechanics 49 201907

[3]. Bendiksen O 1997 In Proceedings of the International Forum on Aeroelasticity and Structural Dynamics June 425.

[4]. Bendiksen O 2004 Proceedings of the Institution of Mechanical Engineers 218 157.

[5]. Gopinath A and Jamesony A 2002 AIAA Journal 40 879

[6]. Kevin T, Antony J, Mykel J, Jeremy M, Peng L and Freddie D 2019 Journal of Computational Physics 395 105

[7]. Duffin C, Cripps E, Stemler T and Girolami M 2021 Proceedings of the National Academy of Sciences of the United States of America 2 118

[8]. Carlos U, David P and Ángel J 2022 Computer Methods in Applied Mechanics and Engineering 391 114562

[9]. Slontnick J, Khodadoust A, Alonso J, et al. 2014 CFD vision 2030 study: A Path to Revolutionary Computational Aerosciences NASA/CR-2014-218178

[10]. Spalart P, Jou W, Strelets M, et al. 1997 Advances in DNS/LES (Columbus: Greyden Press) 137

[11]. Launder B and Spalding D 1974 Computer Methods in Applied Mechanics and Engineering 3 269 Wilcox D 2008 AIAA Journal 46 2823

[12]. Wilcox D 2008 AIAA Journal 46 2823

[13]. Liu G 2016 Numerical methods of fluid dynamics (Beijing: Metallurgical Industry Press)

[14]. Yakhot V, Orszag S 1986 Journal of Scientific Computing 1 3

[15]. Smagorinsky J 1963 Mon. Weather Rev. 91 99

[16]. Strelets M 2001 AIAA-2001-0879 (Reston: AIAA)

[17]. Menter F 1994 AIAA Journal 32 1598

[18]. Fröhlich J and Terzi D 2008 Progress in Aerospace Sciences 44 349

[19]. Liu Z, Wang C, Zhang K, Zhao Z and Xie Z 2021 Appl. Sci 11 9272

[20]. Wang Y, Zhang F, Yuan S, Chen K, Wei X and Appiah D 2020 ASME. J. Fluids Eng 142 061503

[21]. Ali Z, Sung J and Jin T 2020 Aerospace Science and Technology 100 105793

[22]. Schmid P 2010 Journal of Fluid Mechanics 656 5

[23]. Li D, Andrea R, Chen G and Li Y 2019 Aerospace Science and Technology 94 105354

[24]. Chen Z, Zhao Y and Huang R 2019 Aerospace Science and Technology 87 1

[25]. César Q, Rossella A, Pin W, Pain C and Guo Y 2020 Physica D: Nonlinear Phenomena 412 132615

[26]. Pranshu P, Ruchit D, Pranav B and Amir B 2021 Physics of Fluids 33 107101

[27]. Gianmarco A, Marco F and Alessandro P 2021 Proceedings of the Combustion Institute 38 5373

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