New Family of Explicit Structure-Dependent Integration Algorithms with Controllable Numerical Dispersion
This article has a reply.
VIEW THE REPLYPublication: Journal of Engineering Mechanics
Volume 147, Issue 3
Abstract
Direct integration algorithms are effective methods to solve the temporally discretized differential equations of motion for structural dynamics. Numerous researchers have worked out various algorithms to achieve desirable properties of explicit expression, unconditional stability, and controllable numerical dissipation. However, studies involving the numerical dispersion of integration algorithms are limited. In this paper, a precorrected bilinear transformation from a continuous domain to a discrete domain associating with pole-matching based on the control theory is utilized to develop a new family of explicit structure-dependent integration algorithms, referred to as TL- algorithms. In contrast to the existing algorithms, the significant improvement of the proposed method is that it can control the amount of numerical dispersion by an additional parameter related to the critical frequency of the structure. Stability, energy dissipation, and numerical dispersion properties of the proposed algorithms for both linear and nonlinear systems are fully studied. It is shown that the proposed family of algorithms is unconditionally stable for linear systems while only conditionally stable for nonlinear systems. Though the numerical dissipation property of the TL- algorithms is quite similar to that of other well-developed methods, its ability to minimize the period errors when compared with other methods makes it beneficial to the accuracy of the numerical simulation of dynamic responses. Four numerical examples are used to investigate the improved performance of the new method, and the results show that the proposed algorithms can be potentially used to solve linear and nonlinear structural dynamic problems with desirable numerical dispersion performance.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
All data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
This paper is based upon work supported by the National Natural Foundation of China (Grant Nos. 52008074, 41904095, and 51908048), the State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures at Shijiazhuang Tiedao University (Grant No. ZZ2020-04), and the Natural Science Foundation of Hebei Province (Grant No. E2019210350).
References
Belytschko, T., and T. Hughes. 1983. Computational methods for transient analysis. Amsterdam, Netherlands: Elsevier.
Bonnetr, P., M. Williams, and A. Blakeboroughg. 2008. “Evaluation of numerical time-integration schemes for real-time hybrid testing.” Earthquake Eng. Struct. Dyn. 37 (13): 1467–1490. https://doi.org/10.1002/eqe.821.
Butcher, J. 2003. Numerical methods for ordinary differential equations. Chichester, UK: Wiley.
Chang, S. 1997. “Improved numerical dissipation for explicit methods in pseudodynamic tests.” Earthquake Eng. Struct. Dyn. 26 (9): 917–929. https://doi.org/10.1002/(SICI)1096-9845(199709)26:9%3C917::AID-EQE685%3E3.0.CO;2-9.
Chang, S. 2002. “Explicit pseudodynamic algorithm with unconditional stability.” J. Eng. Mech. 128 (9): 935–947. https://doi.org/10.1061/(ASCE)0733-9399(2002)128:9(935).
Chang, S. 2007. “Improved explicit method for structural dynamics.” J. Eng. Mech. 133 (7): 748–760. https://doi.org/10.1061/(ASCE)0733-9399(2007)133:7(748).
Chang, S. 2009. “An explicit method with improved stability property.” Int. J. Numer. Methods Eng. 77 (8): 1100–1120. https://doi.org/10.1002/nme.2452.
Chang, S. 2013. “An explicit structure-dependent algorithm for pseudodynamic testing.” Eng. Struct. 46 (Jan): 511–525. https://doi.org/10.1016/j.engstruct.2012.08.009.
Chang, S. 2014. “A family of noniterative integration methods with desired numerical dissipation.” Int. J. Numer. Methods Eng. 100 (1): 62–86. https://doi.org/10.1002/nme.4720.
Chang, S. 2016. “Improved formulation for a structure-dependent integration method.” Struct. Eng. Mech. 60 (1): 149–162. https://doi.org/10.12989/sem.2016.60.1.149.
Chang, S. 2018. “An unusual amplitude growth property and its remedy for structure-dependent integration methods.” Comput. Methods Appl. Mech. Eng. 330 (Mar): 498–521. https://doi.org/10.1016/j.cma.2017.11.012.
Chang, S., and W. Liao. 2005. “An unconditionally stable explicit method for structural dynamics.” J. Earthquake Eng. 9 (3): 349–370. https://doi.org/10.1080/13632460509350546.
Chang, S., T. Wu, N. Tran, and Y. Yang. 2017. “Applications of a family of unconditionally stable, dissipative, explicit methods to pseudodynamic tests.” Exp. Tech. 41 (1): 19–36. https://doi.org/10.1007/s40799-016-0151-4.
Chen, C., and J. Ricles. 2008a. “Development of direct integration algorithms for structural dynamics using discrete control theory.” J. Eng. Mech. 134 (8): 676–683. https://doi.org/10.1061/(ASCE)0733-9399(2008)134:8(676).
Chen, C., and J. Ricles. 2008b. “Stability analysis of direct integration algorithm applied to nonlinear structural dynamics.” J. Eng. Mech. 134 (9): 703–711. https://doi.org/10.1061/(ASCE)0733-9399(2008)134:9(703).
Chen, C., J. Ricles, T. Marullo, and O. Mercan. 2008. “Real-time hybrid testing using the unconditionally stable explicit CR integration algorithm.” Earthquake Eng. Struct. Dyn. 38 (1): 23–44. https://doi.org/10.1002/eqe.838.
Chopra, A. 2001. Dynamics of structures: Theory and applications to earthquake engineering. 2nd ed. Upper Saddle River, NJ: Prentice-Hall.
Chung, J., and J. Lee. 1994. “A new family of explicit time integration methods for linear and non-linear structural dynamics.” Int. J. Numer. Methods Eng. 37 (23): 3961–3976. https://doi.org/10.1002/nme.1620372303.
Clough, R., and J. Penzien. 2011. Dynamics of structures. 2nd ed. Beijing: Higher Education Press.
Darby, A., A. Blakeborough, and M. Williams. 2001. “Improved control algorithm for real-time substructure testing.” Earthquake Eng. Struct. Dyn. 30 (3): 431–448. https://doi.org/10.1002/eqe.18.
Feng, Y., Z. Guo, and Y. Gao. 2018. “An unconditionally stable explicit algorithm for nonlinear structural dynamics.” J. Eng. Mech. 144 (6): 04018034. https://doi.org/10.1061/(ASCE)EM.1943-7889.0001458.
Fu, B. 2017. “Substructure shaking table testing method using model-based integration algorithms.” Ph.D. thesis, School of Civil Engineering, Tongji Univ.
Fu, B., D. Feng, and H. Jiang. 2019. “A new family of explicit model-based integration algorithms for structural dynamic analysis.” Int. J. Struct. Stab. Dyn. 19 (6): 1950053. https://doi.org/10.1142/S0219455419500536.
Gui, Y., J. Wang, F. Jin, C. Chen, and M. Zhou. 2014. “Development of a family of explicit algorithms for structural dynamics with unconditional stability.” Nonlinear Dyn. 77 (4): 1157–1170. https://doi.org/10.1007/s11071-014-1368-3.
Guo, J., W. Zhao, Y. Du, Y. Cao, G. Wang, and M. Zhang. 2018. “New method for real-time hybrid testing with a global iteration strategy.” J. Eng. Mech. 144 (12): 04018218. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002207.
Hilber, H., T. Hughes, and R. Taylor. 1977. “Improved numerical dissipation for time integration algorithms in structural mechanics.” Earthquake Eng. Struct. Dyn. 5 (3): 283–292. https://doi.org/10.1002/eqe.4290050306.
Kim, W., and J. Lee. 2018. “An improved explicit time integration method for linear and nonlinear structural dynamics.” Comput. Struct. 206 (Aug): 42–53. https://doi.org/10.1016/j.compstruc.2018.06.005.
Kolay, C., and J. Ricles. 2014. “Development of a family of unconditionally stable explicit direct integration algorithms with controllable numerical numerical energy dissipation.” Earthquake Eng. Struct. Dyn. 43 (9): 1361–1380. https://doi.org/10.1002/eqe.2401.
Kolay, C., and J. Ricles. 2019. “Improved explicit integration algorithms for structural dynamic analysis with unconditional stability and controllable numerical dissipation.” J. Earthquake Eng. 23 (5): 771–792. https://doi.org/10.1080/13632469.2017.1326423.
Li, J., and K. Yu. 2019. “Noniterative integration algorithms with controllable numerical dissipations for structural dynamics.” Int. J. Comput. Methods 16 (7): 1850111. https://doi.org/10.1142/S0219876218501116.
Li, S., D. Yang, H. Guo, and G. Liang. 2020. “General formulation of eliminating unusual amplitude growth for structure-dependent integration algorithms.” Int. J. Struct. Stab. Dyn. 20 (1): 2050006. https://doi.org/10.1142/S0219455420500066.
Newmark, N. 1959. “A method of computation for structural dynamics.” J. Eng. Mech. 85 (3): 67–94.
Ogata, K. 2014. Discrete-time control systems. Beijing: Publishing House of Electronics Industry.
Rezaiee-Pajand, M., and M. Hashemian. 2016. “Time integration method based on discrete transfer function.” Int. J. Struct. Stab. Dyn. 16 (5): 1550009. https://doi.org/10.1142/S0219455415500091.
Rustemovic, M., and T. Uzunovic. 2018. “Comparison of different methods for digital fractional-order differentiator and integrator design.” In Proc., 41st Int. Conf. on Telecommunications and Signal Processing, 350–355. New York: IEEE.
Shing, P. B., and S. A. Mahin. 1985. “Computational aspects of a seismic performance test method using on-line computer control.” Earthquake Eng. Struct. Dyn. 13 (4): 507–526. https://doi.org/10.1002/eqe.4290130406.
Tang, Y., and M. Lou. 2017. “New unconditionally stable explicit integration algorithm for real-time hybrid testing.” J. Eng. Mech. 143 (7): 04017029. https://doi.org/10.1061/(ASCE)EM.1943-7889.0001235.
Tang, Y., and M. Lou. 2018. “Closure to ‘New unconditionally stable explicit integration algorithm for real-time hybrid testing’ by Yu Tang and Menglin Lou.” J. Eng. Mech. 144 (10): 07018004. https://doi.org/10.1061/(ASCE)EM.1943-7889.0001522.
Wang, C., X. Liu, and Y. Ji. 2008. Continuous and discrete control system. Beijing: Science Press.
Wang, T., H. Zhou, X. Zhang, and T. Ran. 2018. “Stability of an explicit time-integration algorithm for hybrid tests, considering stiffness hardening behavior.” Earthquake Eng. Struct. Vibr. 17 (3): 595–606. https://doi.org/10.1007/s11803-018-0465-6.
Wilson, E., I. Farhoomand, and K. Bathe. 1973. “Nonlinear dynamic analysis of complex structure.” Earthquake Eng. Struct. Dyn. 1 (3): 241–252. https://doi.org/10.1002/eqe.4290010305.
Xia, C. 2018. Modern control theory. Beijing: Science Press.
Yu, K., and J. Zou. 2016. Dynamics of structure. Harbin, China: Harbin Institute of Technology Press.
Zhai, W. 1996. “Two simple fast integration methods for large-scale dynamic problems in engineering.” Int. J. Numer. Methods Eng. 39 (24): 4199–4214. https://doi.org/10.1002/(SICI)1097-0207(19961230)39:24%3C4199::AID-NME39%3E3.0.CO;2-Y.
Information & Authors
Information
Published In
Copyright
© 2021 American Society of Civil Engineers.
History
Received: May 27, 2020
Accepted: Nov 3, 2020
Published online: Jan 4, 2021
Published in print: Mar 1, 2021
Discussion open until: Jun 4, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.