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Global and Local Nonlinear System Responses under Narrowband Random Excitations. II: Prediction, Simulation, and Comparison
Authors:Dongjun Yuk  Solomon C. Yim  Arvid Naess  I-Ming Shih
Affiliation:1Post-Doctoral Fellow, Dept. of Civil Engineering, Oregon State Univ., Corvallis, OR 97331-2302.
2Professor, Dept. of Civil Engineering, Oregon State Univ., Corvallis, OR 97331-2302 (corresponding author). E-mail: solomon.yim@orst.edu
3Professor, Dept. of Mathematical Science, Norwegian Univ. of Science and Technology, NO-7491 Trondheim, Norway.
4Formerly, Graduate Research Assistant, Dept. of Civil Engineering, Oregon State Univ., Corvallis, OR 97331-2302.
Abstract:The response behavior of the single-degree-of-freedom (SDOF) nonlinear structural system subjected to narrowband stochastic excitations studied in Part I is investigated via simulations to verify the stochastic system characteristics assumed in the development of the semianalytical method. In addition, to demonstrate the accuracy of the method, predicted response–amplitude probability distributions are presented and compared to simulation results. Numerical simulations are conducted by directly integrating the SDOF system with the narrowband excitation modeled by the 1971 Shinozuka formulation. It is observed that the proposed semianalytical method is capable of accurately characterizing the stochastic response behavior of the nonlinear system by predicting the response–amplitude probability distribution and capturing the trends of variations in the response–amplitude statistical properties. In both the primary and the subharmonic resonance regions, good agreements between the response–amplitude probability distributions predicted by the semianalytical method and obtained from simulation results are observed both qualitatively and quantitatively. In addition, trends of the variations in the probability masses associated with the modes with variations in excitation parameters (bandwidth and variance) are captured.
Keywords:Stochastic processes  Excitation  Simulation  Predictions  Parameters  Structural behavior  
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