Skip to main content
Log in

Aeroelastic Analysis Considering the Coupling Effect Between the Reference and Elastic Displacements in Flexible Multibody Dynamics

  • Original Paper
  • Published:
International Journal of Aeronautical and Space Sciences Aims and scope Submit manuscript

Abstract

Multibody system simulation has been widely used to model and analyze complicated dynamical systems. Many recent multibody system packages can simulate rigid and flexible bodies effectively and reliably, and offer a variety of alternative formulations. Despite numerous advances in modeling of flexible system, the well-known floating frame of reference formulation (FFRF) remains the most often used formulation. Although FFRF normally only permits modest elastic deformations to be included, this assumption is sufficient for many practical applications. Furthermore, when implemented with proper model order reduction techniques and adequate management of system inertia terms through the use of so-called inertia form integrals, and integration of external forces, FFRF is computationally efficient. In this study, the governing equations are derived from the integration of floating frame method in multibody dynamics and component mode synthesis in structural dynamics. The time-dependent aerodynamic force is taken into the governing equations. The equation manifests the time-dependent coupling between the reference and elastic displacement as well as between structure and aerodynamics force. Deriving the system of equations of motion for FFRF bodies is, in fact, a difficult and error-prone operation. The main goal of this work is to provide a reliable and universal set of inertia terms and aerodynamic force as external force terms within the FFRF. Additionally, a worked-out example has also been given to clarify the effects of the components on the response of flexible system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

Data availability

The data generated during and/or analyzed during the current study are available within the manuscript and its supplementary file.

Abbreviations

\({\mathbf{r}}_{p}\) :

The position vector of an arbitrary point P on the body i in the multibody system, m

\({\mathbf{R}}\) :

The global position vector of the origin of the body reference, m

\({\mathbf{u}}\) :

The local position of point in the global coordinate

\({\mathbf{A}}\) :

The transformation matrix from the body coordinate to the global coordinate

\({\overline{\mathbf{u}}}\) :

The position vector of point in the body coordinate

\({\overline{\mathbf{u}}}_{0}\) :

The undeformed position vector in the body coordinate

\({\overline{\mathbf{u}}}_{f}\) :

The elastic deformation vector in the body coordinate

\({\mathbf{S}}\) :

Shape function matrix

\({\mathbf{Q}}_{v}\) :

Quadratic velocity vector, N

\({\mathbf{Q}}_{g}\) :

Gravitational force vector

\({\mathbf{Q}}_{e}\) :

External force vector

\({\mathbf{Q}}_{c}\) :

Constraint force vector

\({\mathbf{v}}_{b}\) :

Velocity in body coordinate

\({\alpha }_{r}\) :

Rigid-body angle of attack

\({\alpha }_{xe}\) :

Torsion of section

ρ :

Air Density, kg/m3

\(U\) :

Air speed, m/s

\({\mathbf{B}}_{l,m}\) :

Aerodynamic damping matrices

\({\mathbf{C}}_{l,m}\) :

Aerodynamic stiffness matrices

\(\delta {\mathbf{r}}_{c}\) :

Virtual displacement in global coordinate

\(\delta {{\varvec{\upkappa}}}\) :

Virtual orientation in global coordinate

\(P\) :

Point P

\(r\) :

Reference components

\(f\) :

Flexible components

\(I\) , \(b\) , \(e\) :

Global, body (reference), element coordinate

\(i\) :

Body number in the multibody system

\(j\) :

Element \(j\) on a deformable body \(i\)

References

  1. Shabana A (1997) Flexible multibody dynamics: review of past and recent developments. Multibody Syst Dyn 1:189–222. https://doi.org/10.1023/A:1009773505418

    Article  MathSciNet  Google Scholar 

  2. Song JO, Haug EJ (1980) Dynamic analysis of planar flexible mechanisms. Comput Methods Appl Mech Eng 24(3):359–381. https://doi.org/10.1016/0045-7825(80)90070-5

    Article  MathSciNet  Google Scholar 

  3. Wasfy TM, Noor AK (2003) Computational strategies for flexible multibody systems. Am Soc Mech Eng 56(6):553–613. https://doi.org/10.1115/1.1590354

    Article  Google Scholar 

  4. Jorgense KH, Nielsen SRK (2009) System reduction in multibody dynamics of wind turbines. Multibody Syst Dyn 21(2):147–165. https://doi.org/10.1007/s11044-008-9132-4

    Article  Google Scholar 

  5. Fehr J, Eberhard P (2011) Simulation process of flexible multibody systems with non-modal model order reduction techniques. Multibody Syst Dyn 25:313–334. https://doi.org/10.1007/s11044-010-9238-3

    Article  Google Scholar 

  6. Bauchau OA (2011) Flexible multibody dynamics

  7. Holzwarth P, Eberhard P (2015) SVD-based improvements for component mode synthesis in elastic multibody systems. Eur J Mech A Solids 49:408–418. https://doi.org/10.1016/j.euromechsol.2014.08.009

    Article  MathSciNet  Google Scholar 

  8. Baharudin ME, Korkealaakso P, Rouvinen A, Mikkola A (2013) Crane operators training based on the real-time multibody simulation. In: Multibody system dynamics, robotics and control, pp 213–229

  9. Shabana AA (2020) Dynamic of multibody systems. Cambridge University Press, New York

    Book  Google Scholar 

  10. Marshall M, Pellegrino S (2021) Reduced-order modeling for flexible spacecraft deployment and dynamics. In: AIAA Scitech 2021 Forum. https://doi.org/10.2514/6.2021-1385

  11. Bai C, Mingqiang L (2014) Wing weight estimation considering constraints of structural strength. Int J Aeronaut Space Sci 15(4):383–395

    Article  Google Scholar 

  12. Haug EJ (1989) Computer-aided kinematics and dynamics of mechanical systems

  13. Bae DS, Han JM, Choi JH (2000) An implementation method for constrained flexible multibody dynamics using a virtual body and joint. Multibody Syst Dyn 4(4):297–315. https://doi.org/10.1023/A:1009832426396

    Article  Google Scholar 

  14. Ambrósio J (2003) Efficient kinematic joint descriptions for flexible multibody systems experiencing linear and non-linear deformations. Int J Numer Methods Eng 56(12):1771–1793. https://doi.org/10.1002/nme.639

    Article  Google Scholar 

  15. Korkealaakso P, Mikkola A, Rantalainen T, Rouvinen A (2009) Description of joint constraints in the floating frame of reference formulation. J Multi-Body Dyn 223(2):133–145. https://doi.org/10.1243/14644193JMBD170

    Article  Google Scholar 

  16. Kim J-K, Han J-H (2013) Control effectiveness analysis of the Hawkmoth Manduca sexta: a multibody dynamics approach. Int J Aeronaut Space Sci 14(2):152–161

    Article  Google Scholar 

  17. Zhao Y, Haiyan Hu (2013) Prediction of transient responses of a folding wing during the morphing process. Aerosp Sci Technol 24(1):89–94. https://doi.org/10.1016/j.ast.2011.09.001

    Article  Google Scholar 

  18. Meirovitch L (1974) A new method of solution of the eigenvalue problem for gyroscopic systems. AIAA J 12(10):1337–1342. https://doi.org/10.2514/3.49486

    Article  MathSciNet  Google Scholar 

  19. Meirovitch L (1976) A stationary principle for the eigenvalue problem for rotating structures. AIAA J 14:1387–1394

    Article  MathSciNet  Google Scholar 

  20. Waszak M, Meirovitch L, Tuzcu I (2003) Integrated approach to the dynamics and control of maneuvering flexible aircraft. NASA Report

  21. Reschke C (2005) Flight loads analysis with inertially coupled equations of motion. In: AIAA atmospheric flight mechanics conference and exhibit, San Francisco.https://doi.org/10.2514/6.2005-6026

  22. De Luca S (1993) Regulation of flexible arms under gravity. IEEE Trans Robot Autom 9(4):463–467. https://doi.org/10.1109/70.246057

    Article  MathSciNet  Google Scholar 

  23. Nada AA, Hussein BA, Megahed SM, Shabana AA (2010) Use of the floating frame of reference formulation in large deformation analysis: experimental and numerical validation. Multi-body Dyn 224(1):45–58. https://doi.org/10.1243/14644193JMBD208

    Article  Google Scholar 

  24. Lozovskiy A, Dubois F (2016) The method of a floating frame of reference for non-smooth contact dynamics. Eur J Mech A Solids 58:89–101. https://doi.org/10.1016/j.euromechsol.2016.01.007

    Article  MathSciNet  Google Scholar 

  25. Nada AA, Al-Shahrani AS (2017) Shape optimization of low speed wind turbine blades using flexible multibody approach. Energy Proc 134(15):577–587. https://doi.org/10.1016/j.egypro.2017.09.567

    Article  Google Scholar 

  26. Chen J, Hu Z, Liu G (2019) Study on rigid-flexible coupling effects of floating offshore wind turbines. China Ocean Eng 33:1–13. https://doi.org/10.1007/s13344-019-0001-0

    Article  Google Scholar 

  27. Orzechowski G, Matikainen MK, Mikkola AM (2017) Inertia forces and shape integrals in the floating frame of reference formulation. Nonlinear Dyn 88:1953–1968. https://doi.org/10.1007/s11071-017-3355-y

    Article  Google Scholar 

  28. Theodorsen T (1949) General theory of aerodynamic instability and the mechanism of flutter. 1935. NASA Technical Reports

  29. Ribeiro FLC, Paglione P (2012) Aeroflex: a toolbox for studying the flight dynamics of highly flexible airplanes. In: Congresso Nacional de Engenharia Mecânica, São Luís

  30. Kirsch B, Montagnier O, Bénard E, Faure TM (2017) Dynamic aeroelastic simulation of composite wing for HALE UAV application. In: European conference for aerospace sciences, Milan.https://doi.org/10.13009/EUCASS2017-634

  31. Patil MJ (1999) Nonlinear aeroelastic analysis, flight dynamics, and control of a complete aircraft. Doctoral thesis

Download references

Acknowledgements

This work was supported by the BK 21 FOUR program through the National Research Foundation of Korea (NRF) funded by the Korean government (Grant No. 519990714521) and by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Grant No. 2022R1A6A1A03056784).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jae-Sung Bae.

Ethics declarations

Conflict of Interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (ZIP 2 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nguyen, P.A., Rho, HG., Pyeon, BD. et al. Aeroelastic Analysis Considering the Coupling Effect Between the Reference and Elastic Displacements in Flexible Multibody Dynamics. Int. J. Aeronaut. Space Sci. 25, 468–486 (2024). https://doi.org/10.1007/s42405-023-00660-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42405-023-00660-x

Keywords

Navigation