Abstract
Many applications require fast and even real-time multibody simulations. Until recently, strongly simplified models were used in order to reach real-time constraints. A novel system-level model reduction technique, namely Global Modal Parameterization (GMP), enables the reduction of a complex mechanism, incorporating flexibility. This technique groups all computationally demanding tasks in a preprocessing phase, which allows the actual simulation to run at real-time. The main strength of the algorithm lies in the fact that the original system of differential-algebraic equations is transformed into a system of ordinary differential equations, which can easily be integrated with explicit methods. This work shortly reviews the GMP-method for systems undergoing 3D motion with multiple rigid DOFs. Furthermore the framework for hard real-time simulation with GMP is discussed. The novelty is the description of a simulation method for a GMP model with an explicit time integrator, which is deployable on hard real-time systems. One of the method’s advantages is the a priori known computational load for each timestep, allowing hard real-time simulations. The method is benchmarked for a flexible spatial slider-crank mechanism, modeled in a commercial flexible multibody package. This is the first application of the GMP-approach on an original floating-frame-of-reference component mode synthesis model undergoing highly dynamical motion.
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Notes
Nonholonomic constraints are not considered in this work.
A gradient/Jacobian of an entity A with respect to a vector b will be denoted as A ,b .
All computations are performed on an Intel Duo Core T8300 with Windows 7 64-bit.
References
Wasfy, T., Noor, A.: Computational strategies for flexible multibody systems. Appl. Mech. Rev. 56(6), 553–613 (2002)
Agrawal, O.P., Shabana, A.A.: Dynamic analysis of multibody systems using component modes. Comput. Struct. 21(6), 1303–1312 (1985)
Shabana, A.A.: Dynamics of Multibody Systems. Cambridge University Press, Cambridge (2005)
Geradin, M., Cardona, A.: Flexible Multibody Dynamics: A Finite Element Approach. Wiley, New York (2001)
Cuadrado, J., Cardenal, J., Bayo, E.: Modeling and solution methods for efficient real-time simulation of multibody dynamics. Multibody Syst. Dyn. 1, 259–280 (1997)
Rulka, W., Pankiewicz, E.: MBS approach to generate equations of motions for HiL-simulations in vehicle dynamics. Multibody Syst. Dyn. 14(3–4), 367–386 (2005)
Schiehlen, W.: Multibody system dynamics: Roots and perspectives. Multibody Syst. Dyn. 1(2), 149–188 (1997)
Yen, J.: Constrained equations of motion in multibody dynamics as ode’s on manifolds. SIAM J. Numer. Anal. 30, 553–568 (1993)
Arnold, M., Burgermeister, B., Eichberger, A.: Linearly implicit time integration methods in real-time applications: DAE and stiff odes. Multibody Syst. Dyn. 17, 99–117 (2007)
Kim, S.-S., Jeong, Wa.: Real-time multibody vehicle model with bush compliance effect using quasi-static analysis for HiLs. Multibody Syst. Dyn. 22, 367–382 (2009)
Lugris, U.: Real-time methods in flexible multibody dynamics. PhD thesis, University of La Coruna, La Coruna (2008)
Brüls, O., Duysinx, P., Golinval, J.-C.: The global modal parameterization for nonlinear model-order reduction in flexible multibody dynamics. Int. J. Numer. Methods Eng. 69(5), 948–977 (2007)
Heirman, G.H.K., Naets, F., Desmet, W.: A system-level model reduction technique for the efficient simulation of flexible multibody systems. Int. J. Numer. Methods Eng. 85, 330–354 (2011)
Heirman, G.H.K., Naets, F., Desmet, W.: Forward dynamical analysis of flexible multibody systems using system-level model reduction. Multibody Syst. Dyn. 25, 97–113 (2011)
Naets, F., Heirman, G.H.K., Vandepitte, D., Desmet, W.: Inertial force term approximations for the use of global modal parameterization for planar mechanisms. Int. J. Numer. Methods Eng. 85, 518–536 (2010)
LMS International: LMS virtual.lab motion. http://www.lmsintl.com/simulation/virtuallab/motion
Brüls, O., Duysinx, P., Golinval, J.-C.: A model reduction method for the control of rigid mechanisms. Multibody Syst. Dyn. 15(3), 213–227 (2006)
Heirman, G.H.K., Bruls, O., Desmet, W.: System-level model reduction technique for efficient simulation of flexible multibody dynamics. In: Proceedings of the ECCOMAS Thematic Conference in Multibody Dynamics (2009)
Brüls, O.: Integrated simulation and reduced-order modeling of controlled flexible multibody systems. PhD thesis, Université de Liège, Liège (2005)
Dopico, D., Lugris, U., Gonzalez, M., Cuadrado, J.: Two implementations of irk integrators for real-time multibody dynamics. Int. J. Numer. Methods Eng. 65, 2091–2111 (2006)
Hulbert, G.M., Chung, J.: Explicit time integration algorithms for structural dynamics with optimal numerical dissipation. Comput. Methods Appl. Mech. Eng. 137, 175–188 (1996)
Daniel, W.J.T.: Explicit/implicit partitioning and a new explicit form of the generalized alpha method. Commun. Numer. Methods Eng. 19, 909–920 (2003)
Chung, J., Hulbert, G.M.: A time integration algorithm for structural dynamics with improved numerical dissipation: the generalized-α method. J. Appl. Mech. 60, 371–375 (1993)
Amsallem, D., Corial, J., Carlberg, K., Farhat, C.: A method for interpolating on manifolds structural dynamics reduced-order models. Int. J. Numer. Methods Eng. 80(9), 1241–1258 (2009)
Naets, F., Heirman, G.H.K., Desmet, W.: Reduced-order-model interpolation for use in global modal parameterization. In: Proceedings of the International Conference on Noise and Vibration Engineering, ISMA 2010, KU Leuven (2010)
Haug, E.J.: Computer Aided Kinematics and Dynamics of Mechanical Systems. Vol. 1: Basic Methods. Allyn & Bacon, Needham Heights (1989)
Yoo, W.S.: Dynamics of flexible mechanical systems using finite element lumped mass approximation and static correction modes. PhD thesis, University of Iowa, Iowa (1985)
MSC Software: MSC.nastran 2004 quick reference guide. http://www.mscsoftware.com/Products/CAE-Tools/MSC-Nastran.aspx
Craig, R.R., Bampton, M.: Coupling of substructures in dynamic analysis. AIAA J. 6(7), 1313–1321 (1968)
Acknowledgements
The research of Frank Naets and Gert Heirman is funded by a Ph.D. grant of the Institute for the Promotion of Innovation through Science and Technology in Flanders (IWT-Vlaanderen). The European Commission is gratefully acknowledged for the support of the Marie Curie ITN “VECOM” FP7-213543, from which Tommaso Tamarozzi holds an “Initial Training Grant” (http://www.vecom.org/).
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Naets, F., Tamarozzi, T., Heirman, G.H.K. et al. Real-time flexible multibody simulation with Global Modal Parameterization. Multibody Syst Dyn 27, 267–284 (2012). https://doi.org/10.1007/s11044-011-9298-z
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DOI: https://doi.org/10.1007/s11044-011-9298-z