×

Nonlinear dynamic analysis of a complex dual rotor-bearing system based on a novel model reduction method. (English) Zbl 1481.70011

Summary: In this paper, a dynamic model of a complex dual rotor-bearing system of an aero-engine is established based on the finite element method with three types of beam elements (rigid disc, cylindrical beam element and conical beam element), as well as taking into account the nonlinearities of all of the supporting rolling element bearings. To rapidly and accurately analyze dynamic behaviors of the complex dual rotor-bearing system, a two-level model order reduction (MOR) method is proposed by combining component mode synthesis (CMS) method and proper orthogonal decomposition (POD) technique. The first-level reduced-order model (ROM) of the dual rotors is obtained by CMS method with a high precision for the original system. Then, the POD method is applied to second-level model order reduction to further decrease the degrees of freedom (DOFs) of first-level ROM. Second-level ROM with mode expansion and direct second-level ROM are obtained, and the nonlinear displacement responses of the two ROMs are compared with the first-level ROM. The numerical results demonstrate that the proposed method has a higher computational efficiency and accuracy in terms of mode expansion than the direct model reduction by using POD method. In addition, the nonlinear vibration responses of the dual rotor-bearing system are studied by this second-level ROM in the case of different clearances of the inter-shaft bearing. The results indicate that the dynamic characteristics of the dual rotor-bearing system are very complicated for a large clearance.

MSC:

70B15 Kinematics of mechanisms and robots
Full Text: DOI

References:

[1] Wagner, M. B.; Younan, A.; Allaire, P., Model reduction methods for rotor dynamic analysis: a survey and review, Int. J. Rotat. Mach. (2011)
[2] Zhou, H.; Chen, G., Dynamic response analysis of dual rotor-ball bearing-stator coupling system for aero-engine, J. Aerosp. Power, 24, 6, 1284-1291 (2009)
[3] Chen, G., A new rotor-ball bearing-stator coupling dynamics model for whole aero-engine vibration, ASME J. Vib. Acoust., 131, 6, Article 061009 pp. (2009)
[4] Chen, G.; Li, C.; Wang, D., Nonlinear dynamic analysis and experiment verification of rotor-ball bearings-support-stator coupling system for aeroengine with rubbing coupling faults, ASME J. Eng. Gas Turb. Power, 132, 2, Article 022501 pp. (2010)
[5] Chen, G., Vibration modeling and analysis for dual-rotor aero-engine, J. Vib. Eng., 24, 6, 619-632 (2011)
[6] Chen, G., A coupling dynamic model for whole aero-engine vibration and its verification, J. Aerosp. Power, 27, 2, 241-254 (2012)
[7] Sun, C.; Chen, Y.; Hou, L., Steady-state response characteristics of a dual-rotor system induced by rub-impact, Nonlinear Dyn., 86, 1, 91-105 (2016)
[8] Yang, Y.; Cao, D.; Yu, T., Prediction of dynamic characteristics of a dual-rotor system with fixed point rubbing-Theoretical analysis and experimental study, Int. J. Mech. Sci., 115-116, 253-261 (2016)
[9] Hou, L.; Chen, Y.; Fu, Y., Application of the HB-AFT method to the primary resonance analysis of a dual-rotor system, Nonlinear Dyn., 88, 4, 2531-2551 (2017)
[10] Rega, G.; Troger, H., Dimension reduction of dynamical systems: methods, models, applications, Nonlinear Dyn., 41, 1-3, 1-15 (2005) · Zbl 1142.37320
[11] Steindl, A.; Troger, H., Methods for dimension reduction and their application in nonlinear dynamics, Int. J. Solids Struct., 38, 10-13, 2131-2147 (2001) · Zbl 1003.74032
[12] Quarteroni, A.; Rozza, G., Reduced Order Methods For Modeling and Computational Reduction (2014), Springer: Springer New York · Zbl 1280.65004
[13] 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) · Zbl 1339.37089
[14] Joannin, C.; Chouvion, B.; Thouverez, F., A nonlinear component mode synthesis method for the computation of steady-state vibrations in non-conservative systems, Mech. Syst. Sig. Process., 83, 75-92 (2016)
[15] Lu, K.; Jin, Y. L.; Chen, Y. S., Review for order reduction based on proper orthogonal decomposition and outlooks of applications in mechanical systems, Mech. Syst. Sig. Process., 123, 264-297 (2019)
[16] Jin, Y. L., Research on model order reduction based on POD method and application for complex rotor-bearing systems (2018), Harbin Institute of Technology, Ph.D. thesis
[17] Clough, R. W.; Mojtahedi, S., Earthquake response analysis considering non-proportional damping, Earthquake Eng. Struct. Dyn., 4, 5, 489-496 (1976)
[18] Foias, C.; Sell, G. R.; Temam, R., Inertial manifolds for nonlinear evolutionary equations, J. Diff. Eqn., 73, 3, 309-353 (1988) · Zbl 0643.58004
[19] Marion, M.; Temam, R., Nonlinear Galerkin methods, SIAM J. Numer. Anal., 26, 5, 1139-1157 (1989) · Zbl 0683.65083
[20] Bampton, M. C.; Craig, R. R., Coupling of substructures for dynamic analyses, AIAA J., 6, 7, 1313-1319 (1968) · Zbl 0159.56202
[21] Craig, R.; Chang, C. J., Free-interface methods of substructure coupling for dynamic analysis, AIAA J., 14, 11, 1633-1635 (1976)
[22] Klerk, D. D.; Rixen, D. J.; Voormeeren, S. N., General framework for dynamic substructuring: history, review and classification of techniques, AIAA J., 46, 5, 1169-1181 (2008)
[23] Kim, S. M.; Kim, J. G.; Chae, S. W., Evaluating mode selection methods for component mode synthesis, AIAA J., 54, 9, 2852-2863 (2016)
[24] Kerschen, G.; Golinval, J. C.; Vakakis, A. F., The method of proper orthogonal decomposition for dynamical characterization and order reduction of mechanical systems: an overview, Nonlinear Dyn., 41, 1-3, 147-169 (2005) · Zbl 1103.70011
[25] Glasgow, D. A.; Nelson, H. D., Stability analysis of rotor-bearing systems using component mode synthesis, J. Mech. Des. Trans. ASME, 102, 2, 352-359 (1980)
[26] Wang, W.; Kirkhope, J., Component mode synthesis for multi-shaft rotors with flexible inter-shaft bearings, J. Sound Vib., 173, 4, 537-555 (1994) · Zbl 0925.73481
[27] Sundararajan, P.; Noah, S. T., An algorithm for response and stability of large order non-linear systems-application to rotor systems, J. Sound Vib., 214, 4, 695-723 (1998)
[28] Tran, D. M., Component mode synthesis methods using interface modes application to structures with cyclic symmetry, Comput. Struct., 79, 2, 209-222 (2001)
[29] Zhao, M.; Wei, D. M.; Ren, P. Z., Study of twin-rotor critical speed by mode synthesis, Gas Turbine Exp. Res., 16, 3, 38-49 (2003)
[30] Shanmugam, A.; Padmanabhan, C., A fixed-free interface component mode synthesis method for rotordynamic analysis, J. Sound Vib., 297, 3-5, 664-679 (2006)
[31] Yang, X. G., Research on dynamic characteristics of counter-rotating dual-rotor system and intermediate bearing in aeroengines (2014), Nanjing University of Aeronautics and Astronautics, Ph.D. Thesis
[32] Luo, G. H.; Yang, X. G.; Wang, F., Research for response characteristics of rub-impact high-dimensional dual-rotor system, J. Vib. Eng., 28, 1, 100-107 (2015)
[33] Sun, C. Z.; Chen, Y. S.; Hou, L., Modeling method and reduction of dual-rotor system with complicated structures, J. Aerosp. Power, 32, 7, 1747-1753 (2017)
[34] Yu, H.; Chen, Y. S.; Cao, Q. J., Bifurcation analysis for nonlinear multi-degree-of-freedom rotor system with liquid-film lubricated bearings, Appl. Math. Mech.(Engl. Edit.), 34, 6, 777-790 (2013) · Zbl 1376.34018
[35] Yu, H.; Chen, Y. S.; Cao, Q. J., Nonlinear dynamic behavior analysis for a cracked multi-DOF rotor system, J. Vib. Shock, 33, 7, 92-98 (2014)
[36] Lu, K.; Yu, H.; Chen, Y. S.; Cao, Q. J.; Hou, L., A modified nonlinear POD method for order reduction based on transient time series, Nonlinear Dyn., 79, 2, 1195-1206 (2015) · Zbl 1345.34025
[37] Lu, K.; Jin, Y. L.; Chen, Y. S.; Cao, Q. J.; Zhang, Z. Y., Stability analysis of reduced rotor pedestal looseness fault model, Nonlinear Dyn., 82, 4, 1611-1622 (2015) · Zbl 1348.70017
[38] Lu, K., Application of the transient proper orthogonal decomposition method for order reduction of rotor systems with faults, Nonlinear Dyn., 86, 3, 1913-1926 (2016)
[39] Lu, K., Bifurcation analysis of reduced rotor model based on nonlinear transient POD method, Int. J. Nonlinear Mech., 89, 83-92 (2017)
[40] Jin, Y. L.; Lu, K.; Hou, L.; Chen, Y. S., An adaptive proper orthogonal decomposition method for model order reduction of multi-disc rotor system, J. Sound Vib., 411, 210-231 (2017)
[41] Lu, Z. Y.; Hou, L.; Chen, Y. S., Nonlinear response analysis for a dual-rotor system with a breathing transverse crack in the hollow shaft, Nonlinear Dyn., 83, 1-2, 169-185 (2016) · Zbl 1349.74329
[42] Yang, Y.; Cao, D.; Wang, D., Response analysis of a dual-disc rotor system with multi-unbalances- -multi-fixed-point rubbing faults, Nonlinear Dyn., 87, 1, 109-125 (2017)
[43] Zhang, Z. Y.; Chen, Y. S.; Li, Z. G., Influenceing factors of the dynamic hysteresis in varying compliance vibrations of a ball bearing, Sci. China Technol. Sci., 58, 5, 775-782 (2015)
[44] Z.Y. Zhang, Y.S. Chen, Q.J. Cao, Bifurcations and hysteresis of varying compliance vibrations in the primary parametric resonance for a ball bearing. J. Sound Vib., 350(2015) 171-184.; Z.Y. Zhang, Y.S. Chen, Q.J. Cao, Bifurcations and hysteresis of varying compliance vibrations in the primary parametric resonance for a ball bearing. J. Sound Vib., 350(2015) 171-184.
[45] Jin, Y. L.; Yang, R.; Hou, L., Experiments and numerical results for varying compliance vibrations in a rigid-rotor ball bearing system, ASME J. Tribol., 139, 4, Article 041103 pp. (2017)
[46] Jin, Y. L.; Lu, Z. Y.; Yang, R., A new nonlinear force model to replace Hertzian contact model in a rigid-rotor ball bearings system, Appl. Math. Mech. (Engl. Ed.), 39, 3, 365-378 (2018)
[47] Millán, E. R.; Manguán, M. C.; Hidalgo, F. S., A component mode synthesis based hybrid method for the dynamic analysis of complex systems, J. Sound Vib., 357, 285-299 (2015)
[48] Terragni, F.; Vega, J. M., Efficient computation of bifurcation diagrams via adaptive ROMs, Fluid Dyn. Res., 46, 4, Article 041412 pp. (2014)
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.