Variational Multiscale Flow Analysis in Aerospace, Energy and Transportation Technologies

Kenji Takizawa, Yuri Bazilevs, Tayfun E. Tezduyar, Artem Korobenko

研究成果: Chapter

2 引用 (Scopus)

抜粋

Computational flow analysis is now playing a key role in aerospace, energy and transportation technologies, bringing solution in challenging problems such as aerodynamics of parachutes, thermo-fluid analysis of ground vehicles and tires, and fluid–structure interaction (FSI) analysis of wind turbines. The computational challenges include complex geometries, moving boundaries and interfaces, FSI, turbulent flows, rotational flows, and large problem sizes. The Residual-Based Variational Multiscale (RBVMS), ALE-VMS and Space–Time VMS (ST-VMS) methods have been quite successful serving as core methods in addressing the computational challenges. The core methods are supplemented with special methods targeting specific classes of problems, such as the Slip Interface (SI) method, Multi-Domain Method, and the “ST-C” data compression method. We describe the core and special methods. We present, as examples of challenging computations performed with these methods, aerodynamic analysis of a ram-air parachute, thermo-fluid analysis of a freight truck and its rear set of tires, and aerodynamic and FSI analysis of two back-to-back wind turbines in atmospheric boundary layer flow.

元の言語English
ホスト出版物のタイトルModeling and Simulation in Science, Engineering and Technology
出版者Birkhauser
ページ235-280
ページ数46
DOI
出版物ステータスPublished - 2020

出版物シリーズ

名前Modeling and Simulation in Science, Engineering and Technology
ISSN(印刷物)2164-3679
ISSN(電子版)2164-3725

ASJC Scopus subject areas

  • Modelling and Simulation
  • Engineering(all)
  • Fluid Flow and Transfer Processes
  • Computational Mathematics

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  • これを引用

    Takizawa, K., Bazilevs, Y., Tezduyar, T. E., & Korobenko, A. (2020). Variational Multiscale Flow Analysis in Aerospace, Energy and Transportation Technologies. : Modeling and Simulation in Science, Engineering and Technology (pp. 235-280). (Modeling and Simulation in Science, Engineering and Technology). Birkhauser. https://doi.org/10.1007/978-3-030-43736-7_8