1981Earthquake Engineering & Structural DynamicsRequires access

A response spectrum method for random vibration analysis of mdf systems

Armen Der Kiureghian

Open publisher page 325 citations

Abstract

Abstract A response spectrum method for stationary random vibration analysis of linear, multi‐degree‐of‐freedom systems is developed. The method is based on the assumption that the input excitation is a wide‐band, stationary Gaussian process and the response is stationary. However, it can also be used as a good approximation for the response to a transient stationary Gaussian input with a duration several times longer than the fundamental period of the system. Various response quantities, including the mean‐squares of the response and its time derivative, the response mean frequency, and the cumulative distribution and the mean and variance of the peak response are obtained in terms of the ordinates of the mean response spectrum of the input excitation and the modal properties of the system. The formulation includes the cross‐correlation between modal responses, which is shown to be significant for modes with closely spaced natural frequencies. The proposed procedure is demonstrated for an example structure that is subjected to an ensemble of earthquake‐induced base excitations. Computed results based on the response spectrum method are in close agreement with simulation results obtained from time‐history dynamic analysis. The significance of closely spaced modes and the error associated with a conventional method that neglects the modal correlations are also demonstrated.

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Abstract A response spectrum method for stationary random vibration analysis of linear, multi‐degree‐of‐freedom systems is developed. The method is based on the assumption that the input excitation is a wide‐band, stationary Gaussian process and the response is stationary. However, it can also be used as a good approximation for the response to a transient stationary Gaussian input with a duration several times longer than the fundamental period of the system. Various response quantities, including the mean‐squares of the response and its time derivative, the response mean frequency, and the cumulative distribution and the mean and variance of the peak response are obtained in terms of the ordinates of the mean response spectrum of the input excitation and the modal properties of the system. The formulation includes the cross‐correlation between modal responses, which is shown to be significant for modes with closely spaced natural frequencies. The proposed procedure is demonstrated for an example structure that is subjected to an ensemble of earthquake‐induced base excitations. Computed results based on the response spectrum method are in close agreement with simulation results obtained from time‐history dynamic analysis. The significance of closely spaced modes and the error associated with a conventional method that neglects the modal correlations are also demonstrated.

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Available abstract

Abstract A response spectrum method for stationary random vibration analysis of linear, multi‐degree‐of‐freedom systems is developed. The method is based on the assumption that the input excitation is a wide‐band, stationary Gaussian process and the response is stationary. However, it can also be used as a good approximation for the response to a transient stationary Gaussian input with a duration several times longer than the fundamental period of the system. Various response quantities, including the mean‐squares of the response and its time derivative, the response mean frequency, and the cumulative distribution and the mean and variance of the peak response are obtained in terms of the ordinates of the mean response spectrum of the input excitation and the modal properties of the system. The formulation includes the cross‐correlation between modal responses, which is shown to be significant for modes with closely spaced natural frequencies. The proposed procedure is demonstrated for an example structure that is subjected to an ensemble of earthquake‐induced base excitations. Computed results based on the response spectrum method are in close agreement with simulation results obtained from time‐history dynamic analysis. The significance of closely spaced modes and the error associated with a conventional method that neglects the modal correlations are also demonstrated.

Key concepts: Response spectrum, Random vibration, Vibration, Gaussian, Transient response, Mathematics, Frequency response, Mathematical analysis

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