A Correlation Analysis of the Dynamics of a Nonlinear Model of a Structure Under Nonstationary Stochastic Loads by the Method of Moments
Authors: Tushev O.N., Markianov A.V. | Published: 24.10.2017 |
Published in issue: #10(691)/2017 | |
Category: Calculation and Design of Machinery | |
Keywords: method of moments, statistical linearization, nonstationary process, canonical form of equations, fundamental matrix, multiplicative integral |
A generalization of the method of moments to analyze the reaction of a linearized model of a structure to arbitrary additive stochastic forcing is proposed. This generalization does not require reducing the initial system of equations in the Cauchy form to a canonical form according to which all external forces are considered as white noise. Thus, there is no need to use forming filters and therefore, there are no limitations on the nature of external loads, including stationarity. The known equations of the method of moments with regard to the mean vector and the matrix of correlation moments of the vector of phase coordinates, true only for the canonical form of the initial equation of movement, become a special case. The fundamental matrix of statistically linearized system is treated as a multiplicative integral, thus making it possible to build a simple algorithm, convenient for numerical calculation and based on recurrent formulae. The results are illustrated by an example.
References
[1] Mikhailov G.A., Voitishes A.V. Chislennoe stokhasticheskoe modelirovanie. Metod Monte-Karlo [Numerical stochastic modeling. Monte-Carlo]. Moscow, Akademiia publ., 2006. 246 p.
[2] Naess A., Moan T. Stochastic Dynamics of Marine Structures. New York, Cambridge University Press publ., 2012. 422 p.
[3] Lindgren G., Rootzen H., Sandsten M. Stationary Stochastic Processes for Scientists and Engineers. Hoboken, CRC Press, 2013. 316 p.
[4] Svetlitskii V.A. Stokhasticheskaia mekhanika i teoriia nadezhnosti [Stochastic mechanics and reliability theory]. Moscow, Bauman Press, 2002. 503 p.
[5] Kazakov I.E. Statisticheskaia teoriia sistem uravneniia v prostranstve sostoianii [Statistical theory of systems of equations in state space]. Moscow, Nauka publ., 1975. 432 p.
[6] Tushev O.N. Dynamic of «shock proof object — shock absorber» system under combined action of additive and multiplicative random shock lood. E-journal Dynamic strength and wear-resistance of machines, 2000, no. 7, pp. 13–17.
[7] Svetlitskii V.A., Tushev O.N., Zaitsev S.E. Analiz dinamicheskogo povedeniia nelineinoi mekhanicheskoi sistemy pri sluchainykh additivnykh nestatsionarnykh nagruzkakh [Analysis of the dynamic behavior of nonlinear mechanical systems under random additive non-stationary loads]. Trudy mezhdunarodnoi konferentsii «Problemy nadezhnosti mashin i konstruktsii» [Proceedings of the international conference «Problems of reliability of machines and structures»]. 24–26 September 2002, Minsk, Sovremennye tetradi publ., 2003, Minsk, 2003, pp. 168–173.
[8] Tushev O.N., Donskikh A.M. Stochastic analysis of the dynamics of a nonlinear structure model at substantially nonnormal distribution laws. Journal of Machinery Manufacture and Reliability, 2014, vol. 43, no. 6, pp. 465–469.
[9] Gantmakher F.R. Teoriia matrits [The theory of matrices]. Moscow, Fizmatlit publ., 2010. 560 p.
[10] Igumnov L.A., Litvinchuk S.Iu., Pazin V.P., Petrov A.N. Chislenno-analiticheskoe postroenie matrits Grina trekhmernykh teorii uprugosti ili elektrouprugosti [The numerical-analytical construction of greens matrices of 3-D elasticity and electro-elasticity theories]. Vestnik Nizhegorodskogo Universiteta im. N.I. Lobachevskogo [Vestnik of Lobachevsky University of Nizhni Novgorod]. 2010, no. 3–1, pp. 134–140.
[11] Alenin V.A., Kulias O.L. Sposoby povysheniia kachestva otsenki fundamental’noi matritsy [Methods of improve the quality estimates of fundamental matrix]. Vestnik Moskovskogo Gosudarstvennogo Oblastnogo Universiteta. Seriia Fizika–matematika [Bulletin MSRU series Physics and mathematics]. 2011, no. 3, pp. 106–116.