Abstract
A memory-free formulation is proposed for determining the non-stationary stochastic response of fractional single-degree-of-freedom nonlinear/hysteretic dynamic systems subjected to combined periodic and non-stationary stochastic excitations. This is achieved by decomposing the system response in a periodic and a zero-mean stochastic component, while utilizing the memory-free formulation to treat the fractional derivative terms. Specifically, first, the response decomposition leads to a system of coupled differential sub-equations of fractional order governing the deterministic and the stochastic response components. Then, invoking the memory-free formulation, the coupled system of equations is transformed into a system of deterministic and stochastic differential equations with integer-order derivatives. Next, a statistical linearization method-based framework is proposed for treating the stochastic sub-equation. This leads to the determination of the equivalent linear stochastic dynamic system, as well as of the related Lyapunov differential equation. Finally, the Lyapunov differential equation and the deterministic sub-equation with integer-order derivative are solved simultaneously using standard numerical algorithms. The applicability and accuracy of the proposed semi-analytical method is demonstrated by pertinent numerical examples.
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References
Podlubny, I.: Fractional differential equations: an introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications. Academic Press, San Diego, CA (1998)
Hilfer, R.: Applications of fractional calculus in physics. World Scientific Publishing Co. Pte. Ltd., Singapore (2000)
Sabatier, J., Agrawal, O.P., Machado, J.T.: Advances in fractional calculus, vol. 4. Springer (2007)
Cai, M., Li, C.: Numerical approaches to fractional integrals and derivatives: a review. Mathematics 8(1), 43 (2020). https://doi.org/10.3390/math8010043
Makris, N., Constantinou, M.: Spring-viscous damper systems for combined seismic and vibration isolation. Earthq. Eng. Struct. Dyn. 21(8), 649–664 (1992). https://doi.org/10.1002/eqe.4290210801
Rossikhin, Y.A., Shitikova, M.V.: Application of fractional calculus for dynamic problems of solid mechanics: novel trends and recent results. Appl. Mech. Rev. 63(1), 010801 (2009). https://doi.org/10.1115/1.4000563
Di Paola, M., Pirrotta, A., Valenza, A.: Visco-elastic behavior through fractional calculus: an easier method for best fitting experimental results. Mech. Mater. 43(12), 799–806 (2011)
Zhang, W., Capilnasiu, A., Sommer, G., Holzapfel, G.A., Nordsletten, D.A.: An efficient and accurate method for modeling nonlinear fractional viscoelastic biomaterials. Comput. Methods Appl. Mech. Eng. 362, 112834 (2020). https://doi.org/10.1016/j.cma.2020.112834
Koh, C.G., Kelly, J.M.: Application of fractional derivatives to seismic analysis of base-isolated models. Earthq. Eng. Struct. Dyn. 19(2), 229–241 (1990)
Di Paola, M., Pinnola, F.P., Spanos, P.D.: Analysis of multi-degree-of-freedom systems with fractional derivative elements of rational order. In: ICFDA’14 International Conference on Fractional Differentiation and Its Applications, pp. 1–6. IEEE (2014)
Pirrotta, A., Kougioumtzoglou, I.A., Di Matteo, A., Fragkoulis, V.C., Pantelous, A.A., Adam, C.: Deterministic and random vibration of linear systems with singular parameter matrices and fractional derivative terms. J. Eng. Mech. 147(6), 04021031 (2021)
Chen, L., Wang, W., Li, Z., Zhu, W.: Stationary response of Duffing oscillator with hardening stiffness and fractional derivative. Int. J. Non-Linear Mech. 48, 44–50 (2013). https://doi.org/10.1016/j.ijnonlinmec.2012.08.001
Spanos, P.D., Kougioumtzoglou, I.A., dos Santos, K.R.M., Beck, A.T.: Stochastic averaging of nonlinear oscillators: Hilbert transform perspective. J. Eng. Mech. 144(2), 04017173 (2018). https://doi.org/10.1061/(asce)em.1943-7889.0001410
Kougioumtzoglou, I.A., Spanos, P.D.: Harmonic wavelets based response evolutionary power spectrum determination of linear and non-linear oscillators with fractional derivative elements. Int. J. Non-Linear Mech. 80, 66–75 (2016). https://doi.org/10.1016/j.ijnonlinmec.2015.11.010
Spanos, P.D., Evangelatos, G.I.: Response of a non-linear system with restoring forces governed by fractional derivatives—Time domain simulation and statistical linearization solution. Soil Dyn. Earthq. Eng. 30(9), 811–821 (2010). https://doi.org/10.1016/j.soildyn.2010.01.013
Fragkoulis, V.C., Kougioumtzoglou, I.A., Pantelous, A.A., Beer, M.: Non-stationary response statistics of nonlinear oscillators with fractional derivative elements under evolutionary stochastic excitation. Nonlinear Dyn. 97(4), 2291–2303 (2019). https://doi.org/10.1007/s11071-019-05124-0
Di Matteo, A., Spanos, P., Pirrotta, A.: Approximate survival probability determination of hysteretic systems with fractional derivative elements. Probab. Eng. Mech. 54, 138–146 (2018). https://doi.org/10.1016/j.probengmech.2017.10.001
Spanos, P.D., Malara, G.: Nonlinear random vibrations of beams with fractional derivative elements. J. Eng. Mech. 140(9), 04014069 (2014). https://doi.org/10.1061/(asce)em.1943-7889.0000778
Spanos, P.D., Di Matteo, A., Cheng, Y., Pirrotta, A., Li, J.: Galerkin scheme-based determination of survival probability of oscillators with fractional derivative elements. J. Appl. Mech. 83(12), 121003 (2016). https://doi.org/10.1115/1.4034460
Di Matteo, A., Kougioumtzoglou, I.A., Pirrotta, A., Spanos, P.D., Di Paola, M.: Stochastic response determination of nonlinear oscillators with fractional derivatives elements via the wiener path integral. Probab. Eng. Mech. 38, 127–135 (2014). https://doi.org/10.1016/j.probengmech.2014.07.001
Petromichelakis, I., Psaros, A.F., Kougioumtzoglou, I.A.: Stochastic response analysis and reliability-based design optimization of nonlinear electromechanical energy harvesters with fractional derivative elements. J. Risk Uncertain. Eng. Syst. Part B: Mech. Eng. (2021). https://doi.org/10.1115/1.4049232
Kong, F., Spanos, P.D.: Response spectral density determination for nonlinear systems endowed with fractional derivatives and subject to colored noise. Probab. Eng. Mech. 59, 103023 (2020)
Kong, F., Zhang, Y., Zhang, Y.: Non-stationary response power spectrum determination of linear/non-linear systems endowed with fractional derivative elements via harmonic wavelet. Mech. Syst. Signal Process. 162, 108024 (2022). https://doi.org/10.1016/j.ymssp.2021.108024
Ford, N.J., Simpson, A.C.: The numerical solution of fractional differential equations: speed versus accuracy. Num. Algorithms 26(4), 333–346 (2001). https://doi.org/10.1023/a:1016601312158
Yuan, L., Agrawal, O.P.: A numerical scheme for dynamic systems containing fractional derivatives. J. Vib. Acoust. 124(2), 321–324 (2002)
Trinks, C., Ruge, P.: Treatment of dynamic systems with fractional derivatives without evaluating memory-integrals. Comput. Mech. 29(6), 471–476 (2002). https://doi.org/10.1007/s00466-002-0356-5
Diethelm, K.: An investigation of some nonclassical methods for the numerical approximation of caputo-type fractional derivatives. Num. Algorithms 47(4), 361–390 (2008). https://doi.org/10.1007/s11075-008-9193-8
Di Paola, M., Failla, G., Pirrotta, A.: Stationary and non-stationary stochastic response of linear fractional viscoelastic systems. Probab. Eng. Mech. 28, 85–90 (2012). https://doi.org/10.1016/j.probengmech.2011.08.017
Failla, G., Pirrotta, A.: On the stochastic response of a fractionally-damped duffing oscillator. Commun. Nonlinear Sci. Numer. Simul. 17(12), 5131–5142 (2012). https://doi.org/10.1016/j.cnsns.2012.03.033
Zhang, Y., Kougioumtzoglou, I.A., Kong, F.: A wiener path integral technique for determining the stochastic response of nonlinear oscillators with fractional derivative elements: a constrained variational formulation with free boundaries. Prob. Eng. Mech. 71, 103410 (2023). https://doi.org/10.1016/j.probengmech.2022.103410
Spanos, P.D., Zhang, W.: Nonstationary stochastic response determination of nonlinear oscillators endowed with fractional derivatives. Int. J. Non-Linear Mech. 146, 104170 (2022). https://doi.org/10.1016/j.ijnonlinmec.2022.104170
Zhang, W., Spanos, P.D., Di Matteo, A.: Nonstationary stochastic response of hysteretic systems endowed with fractional derivative elements. J. Appl. Mech. 90(6), 061011 (2023). https://doi.org/10.1115/1.4056946
Dai, Q., Harne, R.L.: Investigation of direct current power delivery from nonlinear vibration energy harvesters under combined harmonic and stochastic excitations. J. Intell. Mater. Syst. Struct. 29(4), 514–529 (2018)
Cai, W., Harne, R.L.: Characterization of challenges in asymmetric nonlinear vibration energy harvesters subjected to realistic excitation. J. Sound Vib. 482, 115460 (2020)
Pasparakis, G.D., Kougioumtzoglou, I.A., Fragkoulis, V.C., Kong, F., Beer, M.: Excitation-response relationships for linear structural systems with singular parameter matrices: a periodized harmonic wavelet perspective. Mech. Syst. Signal Process. 169, 108701 (2022)
Davenport, A.: The response of slender structures to wind. In: Wind Climate in Cities, pp. 209–239. Springer (1995)
Tessari, R.K., Kroetz, H.M., Beck, A.T.: Performance-based design of steel towers subject to wind action. Eng. Struct. 143, 549–557 (2017)
Spanos, P.D., Zhang, Y., Kong, F.: Formulation of statistical linearization for m-d-o-f systems subject to combined periodic and stochastic excitations. J. Appl. Mech. 86(10), 101003 (2019). https://doi.org/10.1115/1.4044087
Zhang, Y., Spanos, P.D.: Efficient response determination of a M-D-O-F gear model subject to combined periodic and stochastic excitations. Int. J. Non-Linear Mech. 120, 103378 (2020). https://doi.org/10.1016/j.ijnonlinmec.2019.103378
Zhang, Y., Spanos, P.D.: A linearization scheme for vibrations due to combined deterministic and stochastic loads. Probab. Eng. Mech. 60, 103028 (2020). https://doi.org/10.1016/j.probengmech.2020.103028
Kong, F., Spanos, P.D.: Stochastic response of hysteresis system under combined periodic and stochastic excitation via the statistical linearization method. J. Appl. Mech. 88(5), 1–12 (2021)
Ni, P., Fragkoulis, V.C., Kong, F., Mitseas, I.P., Beer, M.: Response determination of nonlinear systems with singular matrices subject to combined stochastic and deterministic excitations. ASCE-ASME J. Risk Uncertain. Eng. Syst. Part A: Civ. Eng. 7(4), 04021049 (2021). https://doi.org/10.1061/ajrua6.0001167
Kong, F., Han, R., Zhang, Y.: Approximate stochastic response of hysteretic system with fractional element and subjected to combined stochastic and periodic excitation. Nonlinear Dyn. (2021). https://doi.org/10.1007/s11071-021-07014-w
Kong, F., Han, R., Li, S., He, W.: Non-stationary approximate response of non-linear multi-degree-of-freedom systems subjected to combined periodic and stochastic excitation. Mech. Syst. Signal Process. 166, 108420 (2022). https://doi.org/10.1016/j.ymssp.2021.108420
Schmidt, A., Gaul, L.: On a critique of a numerical scheme for the calculation of fractionally damped dynamical systems. Mech. Res. Commun. 33(1), 99–107 (2006). https://doi.org/10.1016/j.mechrescom.2005.02.018
Diethelm, K.: An improvement of a nonclassical numerical method for the computation of fractional derivatives. J. Vib. Acoust. 131(1), 014502 (2009). https://doi.org/10.1115/1.2981167
Birk, C., Song, C.: An improved non-classical method for the solution of fractional differential equations. Comput. Mech. 46(5), 721–734 (2010). https://doi.org/10.1007/s00466-010-0510-4
Liu, Q.X., Chen, Y.M., Liu, J.K.: An improved Yuan-Agrawal method with rapid convergence rate for fractional differential equations. Comput. Mech. 63(4), 713–723 (2018). https://doi.org/10.1007/s00466-018-1621-6
Roberts, J.B., Spanos, P.D.: Random vibration and statistical linearization. Courier Corporation (2003)
Kougioumtzoglou, I.A., Fragkoulis, V.C., Pantelous, A.A., Pirrotta, A.: Random vibration of linear and nonlinear structural systems with singular matrices: a frequency domain approach. J. Sound Vib. 404, 84–101 (2017). https://doi.org/10.1016/j.jsv.2017.05.038
Shinozuka, M., Deodatis, G.: Simulation of stochastic processes by spectral representation. Appl. Mech. Rev. 44(4), 191–204 (1991). https://doi.org/10.1115/1.3119501
Ismail, M., Ikhouane, F., Rodellar, J.: The hysteresis Bouc-Wen model, a survey. Archiv. Comput. Methods Eng. 16(2), 161–188 (2009)
Acknowledgements
The corresponding author would like to express his gratitude to professor Fan Kong at Hefei University of Technology and doctor Vasileios C. Fragkoulis at the University of Liverpool for their insightful advice. This work was supported by the National Natural Science Foundation of China (Grant no. 52078399).
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This work was supported by the National Natural Science Foundation of China (Grant no. 52078399).
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Han, R. A memory-free formulation for determining the non-stationary response of fractional nonlinear oscillators subjected to combined deterministic and stochastic excitations. Nonlinear Dyn 111, 22363–22379 (2023). https://doi.org/10.1007/s11071-023-08984-9
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DOI: https://doi.org/10.1007/s11071-023-08984-9