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Reliability of linear oscillators subject to wind loads
AbstractEstimates are developed for the stationary response X(t) of a linear oscillator excited by wind loads. The wind loads are modelled as the square of a stationary Gaussian process Y(t). The analysis is based on three techniques, referred to as the characteristic function approach, the moment approach, and the path integral approach. The characteristic function approach uses an approximation to the joint density of X(t) and X(t) ≡ dX(t)/dt based on inverting the joint characteristic function. The mean upcrossing rate is thereby obtained and used to estimate the reliability. The moment approach also uses the mean upcrossing rate, but approximates it using higher moments of X(t) and . The path integral method is equivalent to approximating the response by a Markov process. It provides the stationary distribution of X(t) as well as the mean time to failure.
Reliability of linear oscillators subject to wind loads
AbstractEstimates are developed for the stationary response X(t) of a linear oscillator excited by wind loads. The wind loads are modelled as the square of a stationary Gaussian process Y(t). The analysis is based on three techniques, referred to as the characteristic function approach, the moment approach, and the path integral approach. The characteristic function approach uses an approximation to the joint density of X(t) and X(t) ≡ dX(t)/dt based on inverting the joint characteristic function. The mean upcrossing rate is thereby obtained and used to estimate the reliability. The moment approach also uses the mean upcrossing rate, but approximates it using higher moments of X(t) and . The path integral method is equivalent to approximating the response by a Markov process. It provides the stationary distribution of X(t) as well as the mean time to failure.
Reliability of linear oscillators subject to wind loads
Buss, Arnold (author) / Grigoriu, Mircea (author)
Journal of Wind Engineering and Industrial Aerodynamics ; 36 ; 571-577
1990-01-01
7 pages
Article (Journal)
Electronic Resource
English
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