Comparison and assessment of time integration algorithms for nonlinear vibration systems

Chao Yang , Bao-zhu Yang , Tao Zhu , Shou-ne Xiao

Journal of Central South University ›› 2017, Vol. 24 ›› Issue (5) : 1090 -1097.

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Journal of Central South University ›› 2017, Vol. 24 ›› Issue (5) : 1090 -1097. DOI: 10.1007/s11771-017-3512-y
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Comparison and assessment of time integration algorithms for nonlinear vibration systems

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Abstract

A corrected explicit method of double time steps (CEMDTS) was introduced to accurately simulate nonlinear vibration problems in engineering. The CEMDTS, the leapfrog central difference method, the Newmark method, the generalized-α method and the precise integration method were implemented in typical nonlinear examples for the purpose of comparison. Both conservative and non-conservative systems were examined. The results show that it isn’t unconditionally stable for the precise integration method, the Newmark method and the generalized-α method in nonlinear systems. The stable interval of the three methods is less than that of the CEMDTS. When a small time step (Δt≤Tmin/20) is employed, the precise integration method is endowed with the highest accuracy while the CEMDTS possesses the smallest computation effort. However, the CEMDTS becomes the most accurate one when the time step is large (Δt≥0.3Tmin) or the system is strongly nonlinear. Therefore, the CEMDTS is more applicable to the nonlinear vibration systems.

Keywords

nonlinear vibration / conservative system / explicit algorithm / accuracy

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Chao Yang, Bao-zhu Yang, Tao Zhu, Shou-ne Xiao. Comparison and assessment of time integration algorithms for nonlinear vibration systems. Journal of Central South University, 2017, 24(5): 1090-1097 DOI:10.1007/s11771-017-3512-y

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References

[1]

ZhaiW M, GaoJ, LiuP, WangK. Reducing rail side wear on heavy-haul railway curves based on wheel-rail dynamic interaction [J]. Vehicle System Dynamics, 2014, 52(s): 440-454.

[2]

ZhaiW M, WangK Y, CaiC B. Fundamentals of vehicle-track coupled dynamics [J]. Vehicle System Dynamics, 2009, 47(11): 1349-1376.

[3]

ZhaiW-m, XiaHeTrain-track-bridge dynamic interaction: Theory and engineering application [M], 2011, Beijing, Science Press

[4]

HilberH M, HughesT J R, TaylorR L. Improved numerical dissipation for time integration algorithms in structural dynamics [J]. Earthquake Engineering and Structural Dynamics, 1977, 5: 283-292

[5]

ChungJ, HulbertG M. A time integration algorithm for structural dynamics with improved numerical dissipation: the generalized-? method [J]. Journal of Applied Mechanics, 1993, 60(2): 371-375.

[6]

WenW, JianK, LuoS. An explicit time integration method for structural dynamics using septuple B-spline functions [J]. International Journal for Numerical Methods in Engineering, 2014, 97(9): 629-657.

[7]

XieY M. An assessment of time integration schemes for non-linear dynamic equations [J]. Journal of Sound and Vibration, 1996, 192(1): 321-331.

[8]

ZhongW X, WilliamsF W. A precise time step integration method [J]. Proc IMechE, Part C: Journal of Mechanical Engineering Science, 1994, 208: 427-430

[9]

ZhongW-xie. On precise time integration method for structural dynamics [J]. Journal of Dalian University of Technology, 1994, 34(2): 131-135

[10]

ChenR L, ZengQ Y, ZhangJ Y. New algorithm applied to vibration equations of time-varying systems [J]. Journal of Central South University of Technology, 2008, 15(s1): 57-60.

[11]

ChangS Y. An explicit method with improved stability property [J]. International Journal for Numerical Methods in Engineering, 2009, 77(8): 1100-1120.

[12]

ChangS Y. A family of noniterative integration methods with desired numerical dissipation [J]. International Journal for Numerical Methods in Engineering, 2014, 100(1): 62-86.

[13]

MasuriS U, HoitinkA, ZhouX, TammaK K. Algorithms by design: A new normalized time-weighted residual methodology and design of a family of energy-momentum conserving algorithms for non-linear structural dynamics [J]. International Journal for Numerical Methods in Engineering, 2009, 79: 1094-1146

[14]

YangC, XiaoS, LuL, ZhuT. Two dynamic explicit methods based on double time steps [J]. Proc IMechE, Part K: Journal of Multi-body Dynamics, 2014, 228(3): 330-337.

[15]

ZhangX, WangT-shu. Computational dynamics [M]. Beijing: Tsinghua University Press, 2007147184

[16]

LeontievV A. Extension of LMS formulations for L-stable optimal integration methods with U0-V0 overshoot properties in structural dynamics: The level-symmetric (LS) integration methods [J]. International Journal for Numerical Methods in Engineering, 2007, 71: 1598-1632

[17]

ShaoH-p, CaiC-wen. A three parameters algorithm for numerical integration of structural dynamic equations [J]. Chinese Journal of Applied Mechanics, 1988, 5(4): 76-82

[18]

LuH-x, YuH-j, QiuC-hang. An integral equation of nonlinear dynamics and its solution method [J]. Acta Mechanica Solida Sinica, 2001, 22(3): 303-308

[19]

ChangS Y. A new family of explicit methods for linear structural dynamics [J]. Computers & Structures, 2010, 88(1112): 755-772.

[20]

YangC, XiaoS-n, YangG-w, ZhuT, YangBing. Non-dissipative explicit time integration methods of the same class [J]. Journal of Vibration Engineering, 2015, 28(3): 441-448

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