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Optimal second order reduction basis selection for nonlinear transient analysis

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Modal Analysis Topics, Volume 3

Abstract

Effective Model Order Reduction (MOR) for geometrically nonlinear structural dynamics problems can be achieved by projecting the Finite Element (FE) equations on a basis constituted by a set of vibration modes and associated second order modal derivatives. However, the number of modal derivatives gener- ated by such approach is quadratic with respect to the number of chosen vibration modes, thus quickly making the dimension of the reduction basis large. We show that the selection of the most important second order modes can be based on the convergence of the underlying linear modal truncation approximation. Given a cer- tain time dependency of the load, this method allows to select the most significant modal derivatives set before computing it.

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References

  1. Jernej Barbič and Doug L. James. Real-time subspace integration for st. venant-kirchhoff deformable models. ACM Trans. Graph., 24(3):982–990, 2005.

    Google Scholar 

  2. M. Gradin and D.J. Rixen. Mechanical vibrations. Theory and Application to Structural Dynamics. Wiley, 1997.

    Google Scholar 

  3. Joseph J. Hollkamp, Robert W. Gordon, and S. Michael Spottswood. Nonlinear modal models for sonic fatigue response prediction: a comparison of methods. Journal of Sound and Vibration, 284(3-5):1145 – 1163, 2005.

    Google Scholar 

  4. S. R. Idelsohn and A. Cardona. A load-dipendent basis for reduced nonlinear structural dynamics. Computer & Structures, 20:203–210, 1985.

    Article  MATH  Google Scholar 

  5. S. R. Idelsohn and A. Cardona. A reduction method for nonlinear structural dynamic analysis. Computer Methods in Applied Mechanics and Engineering, 49:253–279, 1985.

    Article  MATH  Google Scholar 

  6. B. P. Jacob and N. F. F. Ebecken. Adaptive reduced integration method for nonlinear structural dynamic analysis. Computers Structures, 45(2):333 – 347, 1992.

    Article  MATH  Google Scholar 

  7. M. Mignolet, A. Radu, and X. Gao. Validation of reduced order modeling for the prediction of the response and fatigue life of panels subjected to thermo-acoustic effects. In Proceedings of the 8th International Conference on Recent Advances in Structural Dynamics, Southampton, United Kingdom, 2003.

    Google Scholar 

  8. Adam Przekop and Stephen A. Rizzi. A reduced order method for predicting high cycle fatigue of nonlinear structures. Computers & Structures, 84(24-25):1606 – 1618, 2006. Non-linear Dynamics of Structures and Mechanical Systems.

    Google Scholar 

  9. S.A. Ragon, Z. G¨urdal, and L.T. Watson. A comparison of three algorithms for tracing nonlinear equilibrium paths of structural systems. International Journal of Solids Structures, 139:689–698, 2002.

    Google Scholar 

  10. P. M. A. Slaats, J. de Jong, and A. A. H. J. Sauren. Model reduction tools for nonlinear structural dynamics. Computer & Structures, 54:1155–1171, 1995.

    Article  MATH  Google Scholar 

  11. P. Tiso, E. Jansen, and M.M.Abdalla. A reduction method for finite element nonlinear dynamic analysis of shells. In 47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2006.

    Google Scholar 

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Correspondence to Paolo Tiso .

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Tiso, P. (2011). Optimal second order reduction basis selection for nonlinear transient analysis. In: Proulx, T. (eds) Modal Analysis Topics, Volume 3. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9299-4_3

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  • DOI: https://doi.org/10.1007/978-1-4419-9299-4_3

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  • Publisher Name: Springer, New York, NY

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  • Online ISBN: 978-1-4419-9299-4

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