On the determination of the power spectrum of randomly excited oscillators via stochastic averaging: An alternative perspective

Probabilistic Engineering Mechanics

Volumn 26, Issue 1, 2011, Pages 10-15

  Spanos, P D ^a   Kougioumtzoglou, I A ^a   Soize, C ^b  

^a Rice University   (United States)

^b Centre National de la Recherche Scientifique   (France)

Author keywords

Conditional power spectral density; Nonlinear system; Spectral representation; Stochastic linearization averaging; Stochastic response

Indexed keywords

APPROXIMATE FORMULAS; CONDITIONAL POWER SPECTRAL DENSITY; ERGODICITY; NON-LINEAR RESPONSE; NUMERICAL RESULTS; ORTHOGONALITY PROPERTIES; RESPONSE AMPLITUDES; RESPONSE PROCESS; SPECTRAL REPRESENTATIONS; STATIONARITY; STOCHASTIC AVERAGING; STOCHASTIC LINEARIZATION/AVERAGING; STOCHASTIC RESPONSE; SYSTEM RESPONSE;

APPROXIMATION ALGORITHMS; LINEAR SYSTEMS; NONLINEAR SYSTEMS; POWER SPECTRAL DENSITY;

STOCHASTIC SYSTEMS;

EID: 77957750267     PISSN: 02668920     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.probengmech.2010.06.001     Document Type: Article

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