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<doi>MS-01-139-cd</doi>

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<article-title>Response of an MDOF Nonlinear System with Constraints Under Combined Deterministic and Non-stationary Stochastic Excitation</article-title>
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<author>P. Ni<sup>1</sup>, V. C. Fragkoulis<sup>1</sup>, F. Kong<sup>2</sup>, I. P. Mitseas<sup>3,4</sup>, and M. Beer<sup>1,5,6</sup></author>

<aff><sup>1</sup>Institute for Risk and Reliability, Leibniz University Hannover, Germany. </aff>

<aff><sup>2</sup>Department of Structural Engineering, Hefei University of Technology, China. </aff>

<aff><sup>3</sup>School of Civil Engineering, University of Leeds, UK.</aff>

<aff><sup>4</sup>School of Civil Engineering, National Technical University of Athens, Greece.</aff>

<aff><sup>5</sup>Institute for Risk and Uncertainty, University of Liverpool, UK. </aff>

<aff><sup>6</sup>Shanghai Institute for Disaster Prevention and Relief, Tongji University, Shanghai, China. </aff>

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<title>ABSTRACT</title>
<p>A new technique is proposed for determining the response of multi-degree-of-freedom nonlinear systems with singular matrices and constraints subject to combined deterministic and non-stationary stochastic excitation. Decomposing the system response into a deterministic and a stochastic component leads to two subsystems of equations, namely, one subject to deterministic excitation and one subject to stochastic one. The latter is treated by resorting to a generalized stochastic linearization-based framework combined with state variable analysis. Specifically, a matrix differential equation governing the equivalent linear system under non-stationary stochastic excitation is derived and solved in conjunction with the deterministic set of equations governing the deterministic system response. The validity of the proposed technique is demonstrated by a pertinent numerical example.</p><p> <italic> Keywords:</italic>Singular matrices, Nonlinear system, Combined excitation, Non-stationary process, Statistical linearization. </p></abstract>
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