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Application of Model Order Reduction to Nonlinear Finite Element Tire Models for NVH Design
Technical Paper
2019-01-1507
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In current practice, tire development and testing are typically experimentally driven. However, as the need to simultaneously optimize multiple noise vibration and harshness (NVH) performance criteria increases and development cycles become shorter, predictive numerical simulation techniques are becoming necessary. In addition, many tire performance areas are coupled and therefore the experimental approach often lacks detailed insights which numerical simulations can provide. Currently, no industrially applicable fully predictive high-fidelity numerical approach that incorporates the use of nonlinear Finite Element (FE) tire models for NVH design is available in literature. Therefore, a fully predictive numerical simulation approach that predicts the rolling of a tire over a coarse road surface is described in this work. The proposed approach allows to predict the dynamic contact- and hub forces that arise during rolling without the need for experimental data. Based on these results the NVH performance of a specific tire design can be assessed and optimized. One of the main drawbacks of using nonlinear FE tire models for NVH design, is the large computational cost associated with running the numerical simulations. Therefore, application of a nonlinear Model Order Reduction (MOR) and hyper-reduction technique to the nonlinear FE tire models is described in this work as well. It is shown that application of the MOR and hyper-reduction techniques greatly reduces the total computational time and costs, leading to acceptable computational times for engineering practice. The simulation results show good correspondence with experimental data. This confirms the potential of this efficient predictive numerical simulation approach as a viable alternative to the experimental based approach in tire NVH design.
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Citation
De Gregoriis, D., Naets, F., Kindt, P., and Desmet, W., "Application of Model Order Reduction to Nonlinear Finite Element Tire Models for NVH Design," SAE Technical Paper 2019-01-1507, 2019, https://doi.org/10.4271/2019-01-1507.Data Sets - Support Documents
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References
- Vercammen , S. 2017
- Sandberg , U. and Ejsmont , J.A. Tyre/Road Noise Reference Book Kisa, Informex 2002 91-631-2610-9
- Van der Auweraer , H. , Donders , S. , Hartmann , D. , and Desmet , W. Simulation and Digital Twin for Mechatronic Product Design International Conference on Noise and Vibration Engineering (ISMA) 2018 Belgium Sep. 17-19 2018
- Hoever , C. 2014
- Brinkmeier , M. , Nackenhorst , U. , Petersen , S. , and von Estorff , O. A Finite Element Approach for the Simulation of Tire Rolling Noise Journal of Sound and Vibration 309 1 20 39 2008 10.1016/j.jsv.2006.11.040
- Larsson , K. and Kropp , W. A High-Frequency Three-Dimensional Tyre Model Based on Two Coupled Elastic Layers Journal of Sound and Vibration 253 4 889 908 2002 10.1006/jsvi.2001.4073
- Lopez Arteaga , I. Green’s Functions for a Loaded Rolling Tyre International Journal of Solids and Structures 48 25 3462 3470 2011 10.1016/j.ijsolstr.2011.09.006
- Wullens , F. and Kropp , W. A Three-Dimensional Contact Model for Tyre/Road Interaction in Rolling Conditions Acta Acustica 90 4 702 711 2004
- Benner , P. , Ohlberger , M. , Cohen , A. , and Willcox , K. Model Reduction and Approximation Philadelphia Society for Industrial and Applied Mathematics 2017 10.1137/1.9781611974829
- Farhat , C. , Avery , P. , Chapman , T. , and Cortial , J. Dimensional Reduction of Nonlinear Finite Element Dynamic Models with Finite Rotations and Energy-Based Mesh Sampling and Weighting for Computational Efficiency International Journal for Numerical Methods in Engineering 98 9 625 662 2014 10.1002/nme.4668
- Nackenhorst , U. The ALE-Formulation of Bodies in Rolling Contact: Theoretical Foundations and Finite Element Approach Computer Methods in Applied Mechanics and Engineering 193 39 4299 4322 2004 10.1016/j.cma.2004.01.033
- Bathe , K.-J. Finite Element Procedures Upper Saddle River Prentice Hall, Inc. 1996 0-13-301458-4
- Zienkiewicz , O.C. , Taylor , R.L. , and Fox , D.D. The Finite Element Method for Solid and Structural Mechanics Seventh Butterworth-Heineman 2013 10.1016/C2009-0-26332-X
- Wriggers , P. Computational Contact Mechanics Second Berlin Springer-Verlag 2006 978-3-540-82088-8
- Andersson , P.B.U. and Kropp , W. Time Domain Contact Model for Tyre/Road Interaction Including Nonlinear Contact Stiffness due to Small-Scale Roughness Journal of Sound and Vibration 318 1 296 312 2008 10.1016/j.jsv.2008.04.013
- van de Walle , A. , Naets , F. , Deckers , E. , and Desmet , W. Stability-Preserving Model Order Reduction for Time-Domain Simulation of Vibro-Acoustic FE Models International Journal for Numerical Methods in Engineering 109 6 889 912 2017 10.1002/nme.5323
- De Gregoriis , D. , Naets , F. , Kindt , P. , and Desmet , W. A Nonlinear a-Priori Hyper-Reduction Method for the Dynamic Simulation of a Car Tire Rolling over a Rough Road Surface Sixth European Conference on Computational Mechanics (ECCM) UK June 11-15 2018
- Naets , F. , and Desmet , W. A-Priori Element Selection and Weighting for Hyper-Reduction in Nonlinear Structural Dynamics MODRED 2017 3rd Workshop on Model Reduction of Complex Dynamical Systems Denmark Jan. 11-13 2017
- Naets , F. , De Gregoriis D. , and Desmet , W. Multi-Expansion Modal Reduction: A Pragmatic Semi-A-Priori Model Order Reduction Approach for Nonlinear Structural Dynamics International Journal for Numerical Methods in Engineering 10.1002/nme.6034