Abstract
Many new promising model order reduction (MOR) methods and algorithms were developed during the last decade. Industry and academic research institutions intend to test, validate, compare, and use these new promising MOR techniques with their own models. Therefore, an MOR toolbox bridging the gap between theoretical, algorithmic, and numerical developments to an end-user-oriented program, usable by non-experts, was developed called ‘Model Order Reduction of Elastic Multibody Systems’ (Morembs). A C++ implementation as well as a Matlab implementation including an intuitive graphical user interface is available. Import from various FE programs is possible, and the reduced elastic bodies can be exported to a variety of programs to simulate the compact models. In the course of the various projects, many improvements on the algorithmic side were added. As we learned over the years, there is not one ‘optimal’ MOR method. ‘Optimal’ MOR depends on circumstances, like boundary conditions, excitation spectra, further model usage. The toolbox is now used, e.g., in solid mechanics, biomechanics, vehicle dynamics, control of flexible structures, or crash simulations. In all these use cases, the toolbox allows the user to facilitate their well-known modeling and simulation environment. Only the critical MOR process during preprocessing is performed with Morembs, which helps to compare the various MOR techniques to find the most suited one.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Tobias, C., Fehr, J., Eberhard, P.: Durability-based structural optimization with reduced elastic multibody systems. In: Proceedings of the 2nd International Conference on Engineering Optimization, Paper-ID 1119, Lisbon, Portugal, 6–9 Sept 2010
Antoulas, A.: Approximation of Large-Scale Dynamical Systems. SIAM, Philadelphia (2005)
Benner, P., Mehrmann, V., Sorensen, D. (eds.): Dimension Reduction of Large-Scale Systems. Lecture Notes in Computational Science and Engineering, vol. 45. Springer, Berlin (2005)
Schilders, W., van der Vorst, H., Rommes, J. (eds.): Model Order Reduction: Theory, Research Aspects and Applications. Mathematics in Industry, vol. 13. Springer, Berlin (2008)
Fehr, J.: Automated and error-controlled model reduction in elastic multibody systems. Dissertation, Schriften aus dem Institut für Technische und Numerische Mechanik der Universität Stuttgart, vol. 21. Shaker Verlag, Aachen (2011)
Holzwarth, P., Eberhard, P.: Interpolation and truncation model reduction techniques in coupled elastic multibody systems. In: Proceedings of the ECCOMAS Thematic Conference on Multibody Dynamics, Barcelona, Spain (2015)
Schwertassek, R., Wallrapp, O.: Dynamik Flexibler Mehrkörpersysteme (in German). Vieweg, Braunschweig (1999)
Volzer, T., Eberhard, P.: Arch. Mech. Eng. 63(4) (2016)
Wallrapp, O.: Standardization of flexible body modeling in multibody system codes. Part I: definition of standard input data. Mech. Struct. Mach. 22(3), 283–304 (1994)
Tobias, C., Matha, D., Eberhard, P.: Durability-based data reduction for multibody system results and its applications. Euromech Newsl. 40, 15–24 (2011)
Tobias, C.: Schädigungsberechnung in elastischen Mehrkörpersystemen (in German). Dissertation, Schriften aus dem Institut für Technische und Numerische Mechanik der Universität Stuttgart, vol. 24. Shaker Verlag, Aachen (2012)
Wengert, N.: Gekoppelte dynamisch-optische Simulation von Hochleistungsobjektiven (in German). Dissertation, Schriften aus dem Institut für Technische und Numerische Mechanik der Universität Stuttgart, vol. 40. Shaker Verlag, Aachen (2015)
Hanss, M., Walz, N.P.: Software FAMOUS. Universität Stuttgart, Institut für Technische und Numerische Mechanik (2015). http://www.itm.uni-stuttgart.de/research/famous. Accessed 08 May 2017
Iroz, I., Hanss, M., Eberhard, P.: Simulation of friction-induced vibrations using elastic multibody models. In: Proceedings of the ECCOMAS Thematic Conference on Multibody Dynamics, Barcelona, Spain (2015)
Antoulas, A.C.: On Pole Placement in Model Reduction, at -. Automatisierungstechnik 55(9), 443–448 (2007)
Fehr, J., Fischer, M., Haasdonk, B., Eberhard, P.: Greedy-based approximation of frequency-weighted gramian matrices for model reduction in multibody dynamics. Zeitschrift für Angewandte Math. Mech. 93(8), 501–519 (2012)
Gugercin, S., Antoulas, A.C., Beattie, C.A.: \(\cal{H}_2\) model reduction for large-scale linear dynamical systems. SIAM J. Matrix Anal. Appl. 30(2), 609–638 (2008)
Panzer, H.K.F.: Model order reduction by Krylov subspace methods with global error bounds and automatic choice of parameters. Dissertation, Technische Universität München. Verlag Dr. Hut, München (2014)
Craig, R.: Coupling of substructures for dynamic analyses: an overview. In: Proceedings of the AIAA Dynamics Specialists Conference, Atlanta (2000)
Holzwarth, P., Eberhard, P.: Interface reduction for CMS methods and alternative model order reduction. In: Proceedings of the MATHMOD 2015–8th Vienna International Conference on Mathematical Modelling, Vienna, Austria (2015)
Benner, P., Gugercin, S., Willcox, K.: A survey of projection-based model reduction methods for parametric dynamical systems. SIAM Rev. 57(4), 483–531 (2015)
Panzer, H., Mohring, J., Eid, R., Lohmann, B.: Parametric model order reduction by matrix interpolation, at -. Automatisierungstechnik 58(8), 475–484 (2010)
Amsallem, D., Farhat, C.: An online method for interpolating linear parametric reduced-order models. SIAM J. Sci. Comput. 33, 2169–2198 (2011)
Baur, U., Beattie, C., Benner, P., Gugercin, S.: Interpolatory projection methods for parameterized model reduction. SIAM J. Sci. Comput. 33, 2489–2518 (2009)
Wyatt, S.: Issues in interpolatory model reduction: inexact solves, second-order systems and DAEs. Dissertation, Virginia Polytechnic Institute and State University, Blacksburg, 2012
Fischer, M., Eberhard, P.: Simulation of moving loads in elastic multibody systems with parametric model reduction techniques. Arch. Mech. Eng. 61(2), 209–226 (2014)
Fischer, M., Eberhard, P.: Application of parametric model reduction with matrix interpolation for simulation of moving loads in elastic multibody systems. Adv. Comput. Math., 1–24 (2014)
Baumann, M.: Parametrische Modellreduktion in elastischen Mehrkörpersystemen (in German). Dissertation, Schriften aus dem Institut für Technische und Numerische Mechanik der Universität Stuttgart, vol. 43. Shaker Verlag, Aachen (2016)
Haasdonk, B., Ohlberger, M.: Efficient reduced models and a-posteriori error estimation for parametrized dynamical systems by offline/online decomposition. Math. Comput. Model. Dyn. Syst. 17(2), 145–161 (2011)
Ruiner, T., Fehr, J., Haasdonk, B., Eberhard, P.: A-posteriori error estimation for second order mechanical systems. Acta Mech. Sin. 28(3), 854–862 (2012)
Nowakowski, C.: Zur Modellierung und Reduktion elastischer Bauteile unter verteilten Lasten für die Mehrkörpersimulation (in German). Dissertation, Schriften aus dem Institut für Technische und Numerische Mechanik der Universität Stuttgart, vol. 35. Shaker Verlag, Aachen (2014)
Nowakowski, C., Fehr, J., Eberhard, P.: Einfluss von Schnittstellenmodellierungen bei der Reduktion elastischer Mehrkörpersysteme (in German), at -. Automatisierungstechnik 59(8), 512–519 (2011)
Fehr, J., Holzwarth, P., Eberhard, P.: Interface and model reduction for efficient explicit simulations - a case study with nonlinear vehicle crash models. Math. Comput. Model. Dyn. Syst. 22(4), 380–396 (2016)
Ihrle, S., Lauxmann, M., Eiber, A., Eberhard, P.: Nonlinear modelling of the middle ear as an elastic multibody system-applying model order reduction to acousto-structural coupled systems. J. Comput. Appl. Math. 246, 18–26 (2012)
Ihrle, S., Eiber, A., Eberhard, P.: Modeling of the incudo-malleolar joint within a biomechanical model of the human ear. Multibody Syst. Dyn. 39(4), 1–20 (2016)
Simpack, A.G.: Multibody simulation software (2017). http://www.simpack.com/. Accessed 08 May 2017
FIRST, Simulationstool für elasto-hydrodynamisch gekoppelte Mehrkörpersysteme (in German). IST Ingenieurgesellschaft für Strukturanalyse und Tribologie mb. http://www.ist-aachen.de/first. Accessed 08 May 2017
Nowakowski, C., Fehr, J., Eberhard, P.: Model reduction for a crankshaft used in coupled simulations of engines. In: Proceedings of the ECCOMAS Thematic Conference on Multibody Dynamics 2011, Brussels, Belgium (2011)
Shiiba, T., Fehr, J., Eberhard, P.: Flexible multibody simulation of automotive systems with non-modal model reduction techniques. Veh. Syst. Dyn. 50(12), 1905–1922 (2012)
Grunert, D., Fehr, J.: Identification of nonlinear behavior with clustering techniques in car crash simulations for better model reduction. Adv. Model. Simul. Eng. Sci. 3(1), 1–19 (2016)
Bohn, B., Garcke, J., Iza-Teran, R., Paprotny, A., Peherstorfer, B., Schepsmeier, U., Thole, C.A.: Analysis of car crash simulation data with nonlinear machine learning methods. Procedia Comput. Sci. 18, 621–630 (2013)
Holzwarth, P., Eberhard, P.: Input-output based model reduction for interconnected systems. Eur. J. Mech. A/Solids 49, 408–418 (2015)
Acknowledgements
The authors would like to thank the German Research Foundation (DFG) for financial support of the project within the Cluster of Excellence in Simulation Technology (EXC 310/1) at the University of Stuttgart, the support of this research work within the project EB 195/11-1, FE 1583/2-1, Ei 231/6-1, the FVV (Forschungsvereinigung Verbrennungskraftmaschinen e.V.) with its working groups ‘Optimale FE Reduktion’ and the Automotive Simulation Center Stuttgart (ASCS) for providing partially the funding for this research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Fehr, J., Grunert, D., Holzwarth, P., Fröhlich, B., Walker, N., Eberhard, P. (2018). Morembs—A Model Order Reduction Package for Elastic Multibody Systems and Beyond. In: Keiper, W., Milde, A., Volkwein, S. (eds) Reduced-Order Modeling (ROM) for Simulation and Optimization. Springer, Cham. https://doi.org/10.1007/978-3-319-75319-5_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-75319-5_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-75318-8
Online ISBN: 978-3-319-75319-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)